From a04011121a575f9cc5deab2441a34c0171438d4d Mon Sep 17 00:00:00 2001
From: SciPost Editorial Administration <edadmin@scipost.org>
Date: Mon, 12 Aug 2024 15:05:44 +0200
Subject: [PATCH] Include GAPS-1.1
---
gaps-1.1/LICENSE | 674 ++++++++++++++++++
gaps-1.1/README.md | 63 ++
gaps-1.1/cpp-shower/.vscode/settings.json | 3 +
gaps-1.1/cpp-shower/CMakeLists.txt | 27 +
gaps-1.1/cpp-shower/base/CMakeLists.txt | 5 +
gaps-1.1/cpp-shower/base/include/base.h | 34 +
gaps-1.1/cpp-shower/base/include/event.h | 219 ++++++
gaps-1.1/cpp-shower/base/include/histogram.h | 331 +++++++++
gaps-1.1/cpp-shower/base/include/parton.h | 36 +
gaps-1.1/cpp-shower/base/include/qcd.h | 87 +++
gaps-1.1/cpp-shower/base/include/vec4.h | 131 ++++
gaps-1.1/cpp-shower/main.cpp | 174 +++++
gaps-1.1/cpp-shower/matrix/CMakeLists.txt | 9 +
gaps-1.1/cpp-shower/matrix/include/matrix.h | 23 +
gaps-1.1/cpp-shower/matrix/src/matrix.cpp | 80 +++
.../cpp-shower/observables/CMakeLists.txt | 9 +
.../cpp-shower/observables/include/dalitz.h | 9 +
.../observables/include/eventshapes.h | 11 +
.../cpp-shower/observables/include/jetrates.h | 10 +
.../observables/include/observables.h | 47 ++
.../cpp-shower/observables/src/dalitz.cpp | 23 +
.../observables/src/eventshapes.cpp | 156 ++++
.../cpp-shower/observables/src/jetrates.cpp | 95 +++
.../observables/src/observables.cpp | 69 ++
gaps-1.1/cpp-shower/shower/CMakeLists.txt | 9 +
gaps-1.1/cpp-shower/shower/include/shower.h | 51 ++
gaps-1.1/cpp-shower/shower/src/colours.cpp | 55 ++
gaps-1.1/cpp-shower/shower/src/kinematics.cpp | 31 +
gaps-1.1/cpp-shower/shower/src/shower.cpp | 187 +++++
gaps-1.1/cpp-shower/shower/src/splittings.cpp | 240 +++++++
gaps-1.1/doc/README.md | 15 +
gaps-1.1/doc/extra/acceptveto.csv | 116 +++
gaps-1.1/doc/extra/acceptveto.py | 35 +
gaps-1.1/doc/extra/gaps.sh | 123 ++++
gaps-1.1/doc/extra/results-in-paper.tar.gz | Bin 0 -> 104425 bytes
gaps-1.1/doc/extra/splittings-test.cuh | 100 +++
gaps-1.1/doc/extra/versioncontrol.py | 36 +
gaps-1.1/doc/sections/code-structure.md | 24 +
gaps-1.1/doc/sections/getting-started.md | 65 ++
gaps-1.1/doc/sections/matrix-element.md | 13 +
gaps-1.1/doc/sections/observables.md | 15 +
gaps-1.1/doc/sections/paraveto.png | Bin 0 -> 142633 bytes
gaps-1.1/doc/sections/parton-shower.md | 21 +
gaps-1.1/doc/sections/structure.png | Bin 0 -> 168743 bytes
gaps-1.1/doc/sections/veto.png | Bin 0 -> 166556 bytes
gaps-1.1/doc/tutorials/basicExample.cu | 32 +
gaps-1.1/doc/tutorials/parallelFor.cu | 106 +++
gaps-1.1/doc/tutorials/saxpy.cu | 45 ++
gaps-1.1/gaps/.vscode/settings.json | 3 +
gaps-1.1/gaps/CMakeLists.txt | 43 ++
gaps-1.1/gaps/base/CMakeLists.txt | 18 +
gaps-1.1/gaps/base/include/base.cuh | 69 ++
gaps-1.1/gaps/base/include/event.cuh | 242 +++++++
gaps-1.1/gaps/base/include/histogram.cuh | 259 +++++++
gaps-1.1/gaps/base/include/parton.cuh | 45 ++
gaps-1.1/gaps/base/include/qcd.cuh | 55 ++
gaps-1.1/gaps/base/include/vec4.cuh | 160 +++++
gaps-1.1/gaps/base/src/base.cu | 25 +
gaps-1.1/gaps/base/src/histogram.cu | 83 +++
gaps-1.1/gaps/base/src/qcd.cu | 110 +++
gaps-1.1/gaps/main.cu | 166 +++++
gaps-1.1/gaps/matrix/CMakeLists.txt | 21 +
gaps-1.1/gaps/matrix/include/matrix.cuh | 43 ++
gaps-1.1/gaps/matrix/src/matrix.cu | 131 ++++
gaps-1.1/gaps/observables/CMakeLists.txt | 21 +
gaps-1.1/gaps/observables/include/dalitz.cuh | 9 +
.../gaps/observables/include/eventshapes.cuh | 11 +
.../gaps/observables/include/jetrates.cuh | 10 +
.../gaps/observables/include/observables.cuh | 60 ++
gaps-1.1/gaps/observables/src/dalitz.cu | 31 +
gaps-1.1/gaps/observables/src/eventshapes.cu | 175 +++++
gaps-1.1/gaps/observables/src/jetrates.cu | 110 +++
gaps-1.1/gaps/observables/src/observables.cu | 160 +++++
gaps-1.1/gaps/shower/CMakeLists.txt | 21 +
gaps-1.1/gaps/shower/include/colours.cuh | 66 ++
gaps-1.1/gaps/shower/include/kinematics.cuh | 42 ++
gaps-1.1/gaps/shower/include/shower.cuh | 56 ++
gaps-1.1/gaps/shower/include/splittings.cuh | 266 +++++++
gaps-1.1/gaps/shower/src/shower.cu | 462 ++++++++++++
gaps-1.1/rungaps | 104 +++
gaps-1.1/test/SH-Tutorial.yoda | 464 ++++++++++++
gaps-1.1/test/completedevents.sh | 25 +
gaps-1.1/test/mplstyleerc | 21 +
gaps-1.1/test/plot-completedevents.py | 62 ++
gaps-1.1/test/plot-executiontime.py | 147 ++++
gaps-1.1/test/plots.conf | 88 +++
gaps-1.1/test/rivet-command.sh | 6 +
87 files changed, 7534 insertions(+)
create mode 100644 gaps-1.1/LICENSE
create mode 100644 gaps-1.1/README.md
create mode 100644 gaps-1.1/cpp-shower/.vscode/settings.json
create mode 100644 gaps-1.1/cpp-shower/CMakeLists.txt
create mode 100644 gaps-1.1/cpp-shower/base/CMakeLists.txt
create mode 100644 gaps-1.1/cpp-shower/base/include/base.h
create mode 100644 gaps-1.1/cpp-shower/base/include/event.h
create mode 100644 gaps-1.1/cpp-shower/base/include/histogram.h
create mode 100644 gaps-1.1/cpp-shower/base/include/parton.h
create mode 100644 gaps-1.1/cpp-shower/base/include/qcd.h
create mode 100644 gaps-1.1/cpp-shower/base/include/vec4.h
create mode 100644 gaps-1.1/cpp-shower/main.cpp
create mode 100644 gaps-1.1/cpp-shower/matrix/CMakeLists.txt
create mode 100644 gaps-1.1/cpp-shower/matrix/include/matrix.h
create mode 100644 gaps-1.1/cpp-shower/matrix/src/matrix.cpp
create mode 100644 gaps-1.1/cpp-shower/observables/CMakeLists.txt
create mode 100644 gaps-1.1/cpp-shower/observables/include/dalitz.h
create mode 100644 gaps-1.1/cpp-shower/observables/include/eventshapes.h
create mode 100644 gaps-1.1/cpp-shower/observables/include/jetrates.h
create mode 100644 gaps-1.1/cpp-shower/observables/include/observables.h
create mode 100644 gaps-1.1/cpp-shower/observables/src/dalitz.cpp
create mode 100644 gaps-1.1/cpp-shower/observables/src/eventshapes.cpp
create mode 100644 gaps-1.1/cpp-shower/observables/src/jetrates.cpp
create mode 100644 gaps-1.1/cpp-shower/observables/src/observables.cpp
create mode 100644 gaps-1.1/cpp-shower/shower/CMakeLists.txt
create mode 100644 gaps-1.1/cpp-shower/shower/include/shower.h
create mode 100644 gaps-1.1/cpp-shower/shower/src/colours.cpp
create mode 100644 gaps-1.1/cpp-shower/shower/src/kinematics.cpp
create mode 100644 gaps-1.1/cpp-shower/shower/src/shower.cpp
create mode 100644 gaps-1.1/cpp-shower/shower/src/splittings.cpp
create mode 100644 gaps-1.1/doc/README.md
create mode 100644 gaps-1.1/doc/extra/acceptveto.csv
create mode 100644 gaps-1.1/doc/extra/acceptveto.py
create mode 100755 gaps-1.1/doc/extra/gaps.sh
create mode 100644 gaps-1.1/doc/extra/results-in-paper.tar.gz
create mode 100644 gaps-1.1/doc/extra/splittings-test.cuh
create mode 100644 gaps-1.1/doc/extra/versioncontrol.py
create mode 100644 gaps-1.1/doc/sections/code-structure.md
create mode 100644 gaps-1.1/doc/sections/getting-started.md
create mode 100644 gaps-1.1/doc/sections/matrix-element.md
create mode 100644 gaps-1.1/doc/sections/observables.md
create mode 100644 gaps-1.1/doc/sections/paraveto.png
create mode 100644 gaps-1.1/doc/sections/parton-shower.md
create mode 100644 gaps-1.1/doc/sections/structure.png
create mode 100644 gaps-1.1/doc/sections/veto.png
create mode 100644 gaps-1.1/doc/tutorials/basicExample.cu
create mode 100644 gaps-1.1/doc/tutorials/parallelFor.cu
create mode 100644 gaps-1.1/doc/tutorials/saxpy.cu
create mode 100644 gaps-1.1/gaps/.vscode/settings.json
create mode 100644 gaps-1.1/gaps/CMakeLists.txt
create mode 100644 gaps-1.1/gaps/base/CMakeLists.txt
create mode 100644 gaps-1.1/gaps/base/include/base.cuh
create mode 100644 gaps-1.1/gaps/base/include/event.cuh
create mode 100644 gaps-1.1/gaps/base/include/histogram.cuh
create mode 100644 gaps-1.1/gaps/base/include/parton.cuh
create mode 100644 gaps-1.1/gaps/base/include/qcd.cuh
create mode 100644 gaps-1.1/gaps/base/include/vec4.cuh
create mode 100644 gaps-1.1/gaps/base/src/base.cu
create mode 100644 gaps-1.1/gaps/base/src/histogram.cu
create mode 100644 gaps-1.1/gaps/base/src/qcd.cu
create mode 100644 gaps-1.1/gaps/main.cu
create mode 100644 gaps-1.1/gaps/matrix/CMakeLists.txt
create mode 100644 gaps-1.1/gaps/matrix/include/matrix.cuh
create mode 100644 gaps-1.1/gaps/matrix/src/matrix.cu
create mode 100644 gaps-1.1/gaps/observables/CMakeLists.txt
create mode 100644 gaps-1.1/gaps/observables/include/dalitz.cuh
create mode 100644 gaps-1.1/gaps/observables/include/eventshapes.cuh
create mode 100644 gaps-1.1/gaps/observables/include/jetrates.cuh
create mode 100644 gaps-1.1/gaps/observables/include/observables.cuh
create mode 100644 gaps-1.1/gaps/observables/src/dalitz.cu
create mode 100644 gaps-1.1/gaps/observables/src/eventshapes.cu
create mode 100644 gaps-1.1/gaps/observables/src/jetrates.cu
create mode 100644 gaps-1.1/gaps/observables/src/observables.cu
create mode 100644 gaps-1.1/gaps/shower/CMakeLists.txt
create mode 100644 gaps-1.1/gaps/shower/include/colours.cuh
create mode 100644 gaps-1.1/gaps/shower/include/kinematics.cuh
create mode 100644 gaps-1.1/gaps/shower/include/shower.cuh
create mode 100644 gaps-1.1/gaps/shower/include/splittings.cuh
create mode 100644 gaps-1.1/gaps/shower/src/shower.cu
create mode 100755 gaps-1.1/rungaps
create mode 100644 gaps-1.1/test/SH-Tutorial.yoda
create mode 100644 gaps-1.1/test/completedevents.sh
create mode 100644 gaps-1.1/test/mplstyleerc
create mode 100644 gaps-1.1/test/plot-completedevents.py
create mode 100644 gaps-1.1/test/plot-executiontime.py
create mode 100644 gaps-1.1/test/plots.conf
create mode 100644 gaps-1.1/test/rivet-command.sh
diff --git a/gaps-1.1/LICENSE b/gaps-1.1/LICENSE
new file mode 100644
index 0000000..f288702
--- /dev/null
+++ b/gaps-1.1/LICENSE
@@ -0,0 +1,674 @@
+ GNU GENERAL PUBLIC LICENSE
+ Version 3, 29 June 2007
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diff --git a/gaps-1.1/README.md b/gaps-1.1/README.md
new file mode 100644
index 0000000..b404d37
--- /dev/null
+++ b/gaps-1.1/README.md
@@ -0,0 +1,63 @@
+# GAPS: a GPU-Amplified Parton Shower
+
+> **Version 1.1.0**: Some extra features added on demand, folders restructured.
+
+Code for "An Algorithm to Parallelise Parton Showers on a GPU" [[arxiv:2403.08692](https://arxiv.org/abs/2403.08692)]
+
+The aim of this project is to demonstrate how a Parton Shower Veto Algorithm can be written to run in parallel on a GPU. The code runs a simple LEP Event Generator on NVIDIA GPUs using CUDA. It is based on S. Höche's Tutorial on Parton Showers [[arxiv:1411.4085](https://arxiv.org/abs/1411.4085)].
+
+## What can the code do on the GPU?
+
+- Calculate the Matrix Element for $e^+ e^- \to q \bar{q}$ at 91.2 GeV
+- Simulate a Final State Dipole Shower
+- Calculate Jet Rates and Event Shapes
+
+## Requirements
+
+You will need an NVIDIA GPU, desgined for data centres (this code is verified to run on the NVIDIA Tesla V100 and A100 Devices). To build the code, you will need CMake, G++, Python and the NVIDIA Development Toolkit, which contains the NVCC compiler.
+
+## Running the Code
+
+The executable ```rungaps``` is written to simplify the use of the code. One can simply execute the command:
+
+```bash
+./rungaps
+```
+
+NB: If you get a permission denied error, please run ```chmod +x rungaps```.
+
+This should build the program and generate 10000 events on the GPU. More customisation options are available, and are listed below:
+
+```bash
+# Simulate different numbers of events and build the code using multiple CPU cores
+./rungaps -n nevents -c ncores
+
+# Run C++ Simulation
+./rungaps -n nevents -c ncores -r cpp
+
+# Run the same number of events on C++ and CUDA and compare times
+./rungaps -n nevents -c ncores -r compare
+
+# Run a multitude of number of events 100 times, as seen in the paper
+./rungaps -c ncores -r full
+```
+
+The histograms are saved as yoda files [[arxiv:2312.15070](https://arxiv.org/abs/2312.15070)]. To generate the plots, use Rivet [[arxiv:1912.05451](https://arxiv.org/abs/1912.05451)] as follows:
+
+```shell
+rivet-mkhtml my-output.yoda:"Results" -s --mc-errs -c plots.conf
+```
+
+## Modifying Parameters and Going Further
+
+**New**: You can now adjust the Centre of Mass Energy using the ```-e``` flag
+
+To focus on the computational aspects and make it simple to replicate the results in the paper, we don't allow direct access to the physics parameters (yet!). For now, please use the ```base.cuh``` file to adjust parameters like $\alpha_s(m_Z)$, $t_{C}$ and $n_{Bins}$.
+
+To learn more about the code and how it all works, see the [documentation](doc/README.md).
+
+***
+
+### Sid Sule + Mike Seymour, March 2024
+
+For issues and queries, email: [siddharth.sule@manchester.ac.uk](mailto:siddharth.sule@manchester.ac.uk)
diff --git a/gaps-1.1/cpp-shower/.vscode/settings.json b/gaps-1.1/cpp-shower/.vscode/settings.json
new file mode 100644
index 0000000..23fd35f
--- /dev/null
+++ b/gaps-1.1/cpp-shower/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+ "editor.formatOnSave": true
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/CMakeLists.txt b/gaps-1.1/cpp-shower/CMakeLists.txt
new file mode 100644
index 0000000..7722eb2
--- /dev/null
+++ b/gaps-1.1/cpp-shower/CMakeLists.txt
@@ -0,0 +1,27 @@
+# Minimum required version of CMake
+cmake_minimum_required(VERSION 3.10)
+
+# Project name and languages used
+project(cpp-shower LANGUAGES CXX)
+
+# Set C++ standard
+set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+# List of subdirectories
+set(SUBDIRS base matrix shower observables)
+
+# Include the directories for the headers
+foreach(subdir ${SUBDIRS})
+ include_directories(${subdir}/include)
+ add_subdirectory(${subdir})
+endforeach()
+
+# Set the directory for the executable
+set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_SOURCE_DIR}/bin)
+
+# Add main.cpp to the executable
+add_executable(cpp-shower main.cpp)
+
+# Link the libraries from the subdirectories
+target_link_libraries(cpp-shower matrix shower observables)
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/CMakeLists.txt b/gaps-1.1/cpp-shower/base/CMakeLists.txt
new file mode 100644
index 0000000..47434ff
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/CMakeLists.txt
@@ -0,0 +1,5 @@
+cmake_minimum_required(VERSION 3.10)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include)
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/include/base.h b/gaps-1.1/cpp-shower/base/include/base.h
new file mode 100644
index 0000000..81a34b0
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/base.h
@@ -0,0 +1,34 @@
+#ifndef BASE_H_
+#define BASE_H_
+
+// -----------------------------------------------------------------------------
+// Import Libraries
+
+#include <cmath> // Math Functions
+#include <fstream> // File I/O
+#include <iostream> // Standard I/O
+#include <random> // Random Number Generation
+#include <vector> // Vector
+
+// -----------------------------------------------------------------------------
+// Program Settings - CAREFUL WITH CHANGES
+
+// Max Number of Partons, set to save memory
+const int maxPartons = 30;
+
+// LEP 91.2 settings
+const double mz = 91.1876;
+const double asmz = 0.118;
+
+// Cutoff and its value of alpha_s (pre-calculated)
+const double tC = 1.;
+const double asmax = 0.440886;
+
+// Number of Histogram Bins: Common for all Plots (for now...)
+const int nBins = 100;
+const int nBins2D = 100; // 10x10 Grid
+
+// Maximum Number of Events, beyond which program will be done in batches
+const int maxEvents = 1000000;
+
+#endif // BASE_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/include/event.h b/gaps-1.1/cpp-shower/base/include/event.h
new file mode 100644
index 0000000..26d5580
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/event.h
@@ -0,0 +1,219 @@
+#ifndef EVENT_H_
+#define EVENT_H_
+
+#include "parton.h"
+
+// Event Class
+// Built to contain the partons and the dxs as one accesible object
+// In future, can use to store thrust, log10y23 to parallelise those
+class Event {
+ private:
+ // Temporary Solution - Allows a limited number of partons
+ // Better Solution would be to use a dynamic array, but not GPU friendly
+ Parton partons[maxPartons];
+
+ // ME Params -----------------------------------------------------------------
+
+ double dxs = 0.; // Differential Cross Section
+ int nHard = 0; // Number of Hard Partons
+ // int nInitial = 0; // Number of Initial Partons (Prep for ISR)
+ // int nNonParton = 0; // Number of Non-Parton Partons (Prep for ISR)
+
+ // Shower Params -------------------------------------------------------------
+
+ int nEmission = 0; // Number of Emissions
+ double showerT = 0.; // Evolution and Splitting Variables
+ double showerZ = 0.;
+ double showerY = 0.;
+ int showerC = 0; // Colour Counter
+
+ // Selecting Winner Emission - Defaults Values which represent no winner
+ int winSF = 16;
+ int winDipole[2] = {-1, -1};
+ double winParams[2] = {0., 0.};
+
+ bool endShower = false; // Shower End Flag - used if T < 1 GeV
+
+ // Analysis Variables --------------------------------------------------------
+
+ // Event Validity - Momentum and Colour Conservation
+ bool validity = true;
+
+ // Jet Rates using the Durham Algorithm
+ double y23 = -50., y34 = -50., y45 = -50., y56 = -50.;
+
+ // Event Shape Variables - Thrust, Jet Masses and Broadenings
+ double thr = -50., hjm = -50., ljm = -50., wjb = -50., njb = -50.;
+ Vec4 t_axis = Vec4();
+
+ // Dalitz Plot
+ double dalitz[2] = {-50., -50.};
+
+ public:
+ // Constructor ---------------------------------------------------------------
+
+ // Empty, so that we can build our ME, PS onto it
+ Event() {}
+
+ // Getters -------------------------------------------------------------------
+
+ // Access Partons in the Event
+ Parton GetParton(int i) const { return partons[i]; }
+ int GetSize() const { return nHard + nEmission; }
+ int GetHard() const { return nHard; }
+ int GetEmissions() const { return nEmission; }
+ int GetPartonSize() const { return (nHard + nEmission) - 2; } // -2: e+, e-
+
+ // Get Differential Cross Section
+ double GetDxs() const { return dxs; }
+
+ // Get Shower Params
+ double GetShowerT() const { return showerT; }
+ double GetShowerY() const { return showerY; }
+ double GetShowerZ() const { return showerZ; }
+ int GetShowerC() const { return showerC; }
+
+ // Get Winner Emission
+ int GetWinSF() const { return winSF; }
+ int GetWinDipole(int i) const { return winDipole[i]; }
+ double GetWinParam(int i) const { return winParams[i]; }
+
+ // Get Analysis Variables
+ bool GetValidity() const { return validity; }
+
+ double GetY23() const { return y23; }
+ double GetY34() const { return y34; }
+ double GetY45() const { return y45; }
+ double GetY56() const { return y56; }
+ double GetThr() const { return thr; }
+ double GetHJM() const { return hjm; }
+ double GetLJM() const { return ljm; }
+ double GetWJB() const { return wjb; }
+ double GetNJB() const { return njb; }
+
+ Vec4 GetTAxis() const { return t_axis; }
+
+ double GetDalitz(int i) const { return dalitz[i]; }
+
+ // Setters -------------------------------------------------------------------
+
+ // Add / Replace Parton
+ void SetParton(int i, Parton parton) { partons[i] = parton; }
+
+ // Not used in ME [HOST]
+ void SetPartonPid(int i, int pid) { partons[i].SetPid(pid); }
+ void SetPartonMom(int i, Vec4 mom) { partons[i].SetMom(mom); }
+ void SetPartonCol(int i, int col) { partons[i].SetCol(col); }
+ void SetPartonAntiCol(int i, int anticol) { partons[i].SetAntiCol(anticol); }
+
+ // Set Differential Cross Section and nHard
+ void SetDxs(double dxs) { this->dxs = dxs; }
+ void SetHard(int nHard) { this->nHard = nHard; }
+
+ // Adjust and Increment Number of Emissions
+ void SetEmissions(int nEmission) { this->nEmission = nEmission; }
+ void IncrementEmissions() { nEmission++; }
+
+ // Set Shower Params
+ void SetShowerT(double showerT) { this->showerT = showerT; }
+ void SetShowerY(double showerY) { this->showerY = showerY; }
+ void SetShowerZ(double showerZ) { this->showerZ = showerZ; }
+
+ void SetShowerC(int showerC) { this->showerC = showerC; }
+ void IncrementShowerC() { showerC++; }
+
+ // Set Winner Emission
+ void SetWinSF(int winSF) { this->winSF = winSF; }
+ void SetWinDipole(int i, int winDipole) { this->winDipole[i] = winDipole; }
+ void SetWinParam(int i, double winParams) { this->winParams[i] = winParams; }
+
+ // Set Analysis Variables
+ void SetValidity(bool validity) { this->validity = validity; }
+
+ void SetY23(double y23) { this->y23 = y23; }
+ void SetY34(double y34) { this->y34 = y34; }
+ void SetY45(double y45) { this->y45 = y45; }
+ void SetY56(double y56) { this->y56 = y56; }
+ void SetThr(double thr) { this->thr = thr; }
+ void SetHJM(double hjm) { this->hjm = hjm; }
+ void SetLJM(double ljm) { this->ljm = ljm; }
+ void SetWJB(double wjb) { this->wjb = wjb; }
+ void SetNJB(double njb) { this->njb = njb; }
+
+ void SetTAxis(Vec4 t_axis) { this->t_axis = t_axis; }
+
+ void SetDalitz(double x1, double x2) {
+ dalitz[0] = x1;
+ dalitz[1] = x2;
+ }
+
+ // Member Functions ----------------------------------------------------------
+
+ // Validation of Result Data
+ bool Validate() {
+ Vec4 psum = Vec4();
+
+ std::vector<int> csum(100, 0);
+
+ for (int i = 0; i < GetSize(); i++) {
+ Parton p = GetParton(i);
+
+ Vec4 pmom = p.GetMom();
+ int pcol = p.GetCol();
+ int pAntiCol = p.GetAntiCol();
+
+ psum = psum + pmom;
+
+ if (pcol > 0) {
+ csum[pcol] += 1;
+ }
+
+ if (pAntiCol > 0) {
+ csum[pAntiCol] -= 1;
+ }
+ }
+
+ bool pcheck = (psum[0] < 1e-12 && psum[1] < 1e-12 && psum[2] < 1e-12 &&
+ psum[3] < 1e-12);
+ if (!pcheck) {
+ std::cout << psum << std::endl;
+ }
+
+ bool ccheck = true;
+ for (int i = 0; i < 100; i++) {
+ if (csum[i] != 0) {
+ std::cout << "Colour " << i << " is not conserved." << std::endl;
+ ccheck = false;
+ break;
+ }
+ }
+
+ return pcheck && ccheck;
+ }
+
+ void print_info() const {
+ std::cout << "Event Information:\n";
+ std::cout << "Dxs: " << GetDxs() << "\n";
+ std::cout << "Number of Emissions: " << GetEmissions() << "\n";
+ std::cout << "Shower T: " << GetShowerT() << "\n";
+ std::cout << "Shower Y: " << GetShowerY() << "\n";
+ std::cout << "Shower Z: " << GetShowerZ() << "\n";
+ std::cout << "Shower C: " << GetShowerC() << "\n";
+ std::cout << "Winner SF: " << GetWinSF() << "\n";
+ std::cout << "Winner Dipole 1: " << GetWinDipole(0) << "\n";
+ std::cout << "Winner Dipole 2: " << GetWinDipole(1) << "\n";
+ std::cout << "Winner Params 1: " << GetWinParam(0) << "\n";
+ std::cout << "Winner Params 2: " << GetWinParam(1) << "\n";
+ std::cout << "Partons:\n";
+ for (int i = 0; i < GetSize(); i++) {
+ Parton parton = GetParton(i);
+ std::cout << " Parton " << i << ":\n";
+ std::cout << " Pid: " << parton.GetPid() << "\n";
+ std::cout << " Mom: " << parton.GetMom() << "\n";
+ std::cout << " Col: " << parton.GetCol() << "\n";
+ std::cout << " AntiCol: " << parton.GetAntiCol() << "\n";
+ }
+ }
+};
+
+#endif // EVENT_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/include/histogram.h b/gaps-1.1/cpp-shower/base/include/histogram.h
new file mode 100644
index 0000000..82163b6
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/histogram.h
@@ -0,0 +1,331 @@
+#ifndef HISTOGRAM_H_
+#define HISTOGRAM_H_
+
+#include <fstream>
+#include <iomanip>
+#include <sstream>
+#include <string>
+
+#include "base.h"
+
+// Bin1D class
+class Bin1D {
+ public:
+ double xmin, xmax, w, w2, wx, wx2, n;
+
+ public:
+ Bin1D(double xmin, double xmax)
+ : xmin(xmin), xmax(xmax), w(0.), w2(0.), wx(0.), wx2(0.), n(0.) {}
+
+ std::string Format(const std::string& tag) const {
+ std::stringstream ss;
+ ss << std::scientific << std::setprecision(6);
+ ss << tag << "\t" << tag << "\t" << w << "\t" << w2 << "\t" << wx << "\t"
+ << wx2 << "\t" << static_cast<int>(n);
+ return ss.str();
+ }
+
+ std::string ToString() const {
+ std::stringstream ss;
+ ss << std::scientific << std::setprecision(6);
+ ss << xmin << "\t" << xmax << "\t" << w << "\t" << w2 << "\t" << wx << "\t"
+ << wx2 << "\t" << static_cast<int>(n);
+ return ss.str();
+ }
+
+ double Width() const { return xmax - xmin; }
+
+ void Fill(double x, double weight) {
+ this->w += weight;
+ w2 += weight * weight;
+ wx += weight * x;
+ wx2 += weight * weight * x;
+ n += 1.;
+ }
+
+ void ScaleW(double scale) {
+ w *= scale;
+ w2 *= scale * scale;
+ wx *= scale;
+ wx2 *= scale * scale;
+ }
+};
+
+class Bin2D {
+ public:
+ double xmin, xmax, ymin, ymax, w, w2, wx, wx2, wy, wy2, wxy, n;
+
+ public:
+ Bin2D(double xmin, double xmax, double ymin, double ymax)
+ : xmin(xmin),
+ xmax(xmax),
+ ymin(ymin),
+ ymax(ymax),
+ w(0.),
+ w2(0.),
+ wx(0.),
+ wx2(0.),
+ wy(0.),
+ wy2(0.),
+ wxy(0.),
+ n(0.) {}
+
+ std::string Format(const std::string& tag) const {
+ std::stringstream ss;
+ ss << std::scientific << std::setprecision(6);
+ ss << tag << "\t" << tag << "\t" << w << "\t" << w2 << "\t" << wx << "\t"
+ << wx2 << "\t" << wy << "\t" << wy2 << "\t" << static_cast<int>(n);
+ return ss.str();
+ }
+
+ std::string ToString() const {
+ std::stringstream ss;
+ ss << std::scientific << std::setprecision(6);
+ ss << xmin << "\t" << xmax << "\t" << ymin << "\t" << ymax << "\t" << w
+ << "\t" << w2 << "\t" << wx << "\t" << wx2 << "\t" << wy << "\t" << wy2
+ << "\t" << wxy << "\t" << static_cast<int>(n);
+ return ss.str();
+ }
+
+ double WidthX() const { return xmax - xmin; }
+ double WidthY() const { return ymax - ymin; }
+
+ void Fill(double x, double y, double weight) {
+ this->w += weight;
+ w2 += weight * weight;
+ wx += weight * x;
+ wx2 += weight * weight * x;
+ wy += weight * y;
+ wy2 += weight * weight * y;
+ wxy += weight * x * y;
+ n += 1.;
+ }
+
+ void ScaleW(double scale) {
+ w *= scale;
+ w2 *= scale * scale;
+ wx *= scale;
+ wx2 *= scale * scale;
+ wy *= scale;
+ wy2 *= scale * scale;
+ wxy *= scale * scale;
+ }
+};
+
+// Histo1D class
+class Histo1D {
+ public:
+ std::string name;
+ std::vector<Bin1D> bins;
+ Bin1D uflow;
+ Bin1D oflow;
+ Bin1D total;
+ double scale;
+
+ public:
+ // Constructor for Histo1D
+ Histo1D(double xmin = 0., double xmax = 1., const std::string& name = "hst")
+ : name(name),
+ uflow(xmin - 100., xmin),
+ oflow(xmax, xmax + 100.),
+ total(xmin - 100., xmax + 100.),
+ scale(1.) {
+ double width = (xmax - xmin) / nBins;
+ for (int i = 0; i < nBins; ++i) {
+ double xlow = xmin + i * width;
+ double xhigh = xlow + width;
+ bins.push_back(Bin1D(xlow, xhigh));
+ }
+ }
+
+ std::string ToString() const {
+ std::stringstream ss;
+ ss << "BEGIN YODA_HISTO1D " << name << "\n\n";
+ ss << "Path=" << name << "\n\n";
+ ss << "ScaledBy=" << scale << "\n";
+ ss << "Title=\nType=Histo1D\n";
+ ss << "# ID\tID\tsumw\tsumw2\tsumwx\tsumwx2\tnumEntries\n";
+ ss << total.Format("Total") << "\n";
+ ss << uflow.Format("Underflow") << "\n";
+ ss << oflow.Format("Overflow") << "\n";
+ ss << "# xlow\txhigh\tsumw\tsumw2\tsumwx\tsumwx2\tnumEntries\n";
+ for (const auto& bin : bins) {
+ ss << bin.ToString() << "\n";
+ }
+ ss << "END YODA_HISTO1D\n\n";
+ return ss.str();
+ }
+
+ void Fill(double x, double w) {
+ int l = 0;
+ int r = bins.size() - 1;
+ int c = (l + r) / 2;
+ double a = bins[c].xmin;
+
+ while (r - l > 1) {
+ if (x < a) {
+ r = c;
+ } else {
+ l = c;
+ }
+ c = (l + r) / 2;
+ a = bins[c].xmin;
+ }
+
+ if (x > bins[r].xmin) {
+ if (x > bins[r].xmax) {
+ oflow.Fill(x, w);
+ } else {
+ bins[r].Fill(x, w);
+ }
+ } else if (x < bins[l].xmin) {
+ uflow.Fill(x, w);
+ } else {
+ bins[l].Fill(x, w);
+ }
+
+ total.Fill(x, w);
+ }
+
+ void ScaleW(double scale) {
+ for (auto& bin : bins) {
+ bin.ScaleW(scale);
+ }
+ uflow.ScaleW(scale);
+ oflow.ScaleW(scale);
+ total.ScaleW(scale);
+ this->scale *= scale;
+ }
+
+ void Write(const std::string& filename) const {
+ std::ofstream file;
+ file.open(filename, std::ios::out | std::ios::app);
+ file << ToString();
+ file.close();
+ }
+};
+
+// Histo2D class
+class Histo2D {
+ public:
+ std::string name;
+ std::vector<std::vector<Bin2D>> bins;
+ Bin2D uflow;
+ Bin2D oflow;
+ Bin2D total;
+ double scale;
+
+ public:
+ // Constructor for Histo2D
+ Histo2D(double xmin = 0., double xmax = 1., double ymin = 0.,
+ double ymax = 1., const std::string& name = "hst")
+ : name(name),
+ uflow(xmin - 100., xmin, ymin - 100., ymin),
+ oflow(xmax, xmax + 100., ymax, ymax + 100.),
+ total(xmin - 100., xmax + 100., ymin - 100., ymax + 100.),
+ scale(1.) {
+ double xwidth = (xmax - xmin) / nBins2D;
+ double ywidth = (ymax - ymin) / nBins2D;
+ for (int i = 0; i < nBins2D; ++i) {
+ double xlow = xmin + i * xwidth;
+ double xhigh = xlow + xwidth;
+ std::vector<Bin2D> binRow;
+ for (int j = 0; j < nBins2D; ++j) {
+ double ylow = ymin + j * ywidth;
+ double yhigh = ylow + ywidth;
+ binRow.push_back(Bin2D(xlow, xhigh, ylow, yhigh));
+ }
+ bins.push_back(binRow);
+ }
+ }
+
+ std::string ToString() const {
+ std::stringstream ss;
+ ss << "BEGIN YODA_HISTO2D " << name << "\n\n";
+ ss << "Path=" << name << "\n\n";
+ ss << "ScaledBy=" << scale << "\n";
+ ss << "Title=\nType=Histo2D\n";
+ ss << "# ID\tID\tsumw\tsumw2\tsumwx\tsumwx2\tsumwy\tsumwy2\tnumEntries\n";
+ ss << total.Format("Total") << "\n";
+ ss << "# "
+ "xlow\txhigh\tylow\tyhigh\tsumw\tsumw2\tsumwx\tsumwx2\tsumwy\tsumwy2"
+ "\tnumEntries\n";
+ for (const auto& binRow : bins) {
+ for (const auto& bin : binRow) {
+ ss << bin.ToString() << "\n";
+ }
+ }
+ ss << "END YODA_HISTO2D\n\n";
+ return ss.str();
+ }
+
+ void Fill(double x, double y, double w) {
+ // Find the bin for the x-coordinate
+ int lx = 0;
+ int rx = bins.size() - 1;
+ int cx = (lx + rx) / 2;
+ double ax = bins[cx][0].xmin;
+
+ while (rx - lx > 1) {
+ if (x < ax) {
+ rx = cx;
+ } else {
+ lx = cx;
+ }
+ cx = (lx + rx) / 2;
+ ax = bins[cx][0].xmin;
+ }
+
+ // Find the bin for the y-coordinate
+ int ly = 0;
+ int ry = bins[0].size() - 1;
+ int cy = (ly + ry) / 2;
+ double ay = bins[0][cy].ymin;
+
+ while (ry - ly > 1) {
+ if (y < ay) {
+ ry = cy;
+ } else {
+ ly = cy;
+ }
+ cy = (ly + ry) / 2;
+ ay = bins[0][cy].ymin;
+ }
+
+ // Fill the appropriate bin
+ if (x > bins[rx][0].xmin && y > bins[0][ry].ymin) {
+ if (x > bins[rx][0].xmax || y > bins[0][ry].ymax) {
+ oflow.Fill(x, y, w);
+ } else {
+ bins[rx][ry].Fill(x, y, w);
+ }
+ } else if (x < bins[lx][0].xmin || y < bins[0][ly].ymin) {
+ uflow.Fill(x, y, w);
+ } else {
+ bins[lx][ly].Fill(x, y, w);
+ }
+
+ total.Fill(x, y, w);
+ }
+
+ void ScaleW(double scale) {
+ for (auto& binRow : bins) {
+ for (auto& bin : binRow) {
+ bin.ScaleW(scale);
+ }
+ }
+ uflow.ScaleW(scale);
+ oflow.ScaleW(scale);
+ total.ScaleW(scale);
+ this->scale *= scale;
+ }
+
+ void Write(const std::string& filename) const {
+ std::ofstream file;
+ file.open(filename, std::ios::out | std::ios::app);
+ file << ToString();
+ file.close();
+ }
+};
+
+#endif // HISTOGRAM_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/include/parton.h b/gaps-1.1/cpp-shower/base/include/parton.h
new file mode 100644
index 0000000..35f292d
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/parton.h
@@ -0,0 +1,36 @@
+#ifndef PARTON_H_
+#define PARTON_H_
+
+// Partons have Vec4 Momentum, Vec4 #includes Base
+#include "vec4.h"
+
+class Parton {
+ public:
+ // Constructor
+ Parton(int pid = 0, Vec4 momentum = Vec4(), int col = 0, int anticol = 0)
+ : pid(pid), mom(momentum), col(col), anticol(anticol) {}
+
+ // Getters and Setters
+ int GetPid() const { return pid; }
+ Vec4 GetMom() const { return mom; }
+ int GetCol() const { return col; }
+ int GetAntiCol() const { return anticol; }
+
+ void SetPid(int pid) { this->pid = pid; }
+ void SetMom(Vec4 mom) { this->mom = mom; }
+ void SetCol(int col) { this->col = col; }
+ void SetAntiCol(int anticol) { this->anticol = anticol; }
+
+ // Boolean - If two partons are in a Colour Connected Dipole
+ bool IsColorConnected(Parton p) {
+ return (col > 0 && col == p.anticol) || (anticol > 0 && anticol == p.col);
+ }
+
+ private:
+ int pid;
+ Vec4 mom;
+ int col;
+ int anticol;
+};
+
+#endif // PARTON_H_
diff --git a/gaps-1.1/cpp-shower/base/include/qcd.h b/gaps-1.1/cpp-shower/base/include/qcd.h
new file mode 100644
index 0000000..3ac5682
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/qcd.h
@@ -0,0 +1,87 @@
+#ifndef QCD_H_
+#define QCD_H_
+
+// Base Class, with all the important definitions
+#include "base.h"
+
+const double kNC = 3.;
+const double kTR = 0.5;
+const double kCA = kNC;
+const double kCF = (kNC * kNC - 1.) / (2. * kNC);
+
+class AlphaS {
+ private:
+ int order;
+ double mc2, mb2, mz2, asmz, asmb, asmc;
+
+ public:
+ // Constructor
+ AlphaS(double mz, double asmz, int order = 1, double mb = 4.75,
+ double mc = 1.27)
+ : order(order),
+ mc2(mc * mc),
+ mb2(mb * mb),
+ mz2(mz * mz),
+ asmz(asmz),
+ asmb((*this)(mb2)),
+ asmc((*this)(mc2)) {}
+
+ // Beta functions
+ double Beta0(int nf) const { return (11. / 6. * kCA) - (2. / 3. * kTR * nf); }
+
+ double Beta1(int nf) const {
+ return (17. / 6. * kCA * kCA) - ((5. / 3. * kCA + kCF) * kTR * nf);
+ }
+
+ // Alpha_s at order 0 and 1 (One-Loop and Two-Loop)
+ double As0(double t) const {
+ double tref, asref, b0;
+ if (t >= mb2) {
+ tref = mz2;
+ asref = asmz;
+ b0 = Beta0(5) / (2. * M_PI);
+ } else if (t >= mc2) {
+ tref = mb2;
+ asref = asmb;
+ b0 = Beta0(4) / (2. * M_PI);
+ } else {
+ tref = mc2;
+ asref = asmc;
+ b0 = Beta0(3) / (2. * M_PI);
+ }
+ return 1. / (1. / asref + b0 * log(t / tref));
+ }
+
+ double As1(double t) const {
+ double tref, asref, b0, b1, w;
+ if (t >= mb2) {
+ tref = mz2;
+ asref = asmz;
+ b0 = Beta0(5) / (2. * M_PI);
+ b1 = Beta1(5) / pow(2. * M_PI, 2);
+ } else if (t >= mc2) {
+ tref = mb2;
+ asref = asmb;
+ b0 = Beta0(4) / (2. * M_PI);
+ b1 = Beta1(4) / pow(2. * M_PI, 2);
+ } else {
+ tref = mc2;
+ asref = asmc;
+ b0 = Beta0(3) / (2. * M_PI);
+ b1 = Beta1(3) / pow(2. * M_PI, 2);
+ }
+ w = 1. + b0 * asref * log(t / tref);
+ return asref / w * (1. - b1 / b0 * asref * log(w) / w);
+ }
+
+ // Call operator to calculate alpha_s
+ double operator()(double t) {
+ if (order == 0) {
+ return As0(t);
+ } else {
+ return As1(t);
+ }
+ }
+};
+
+#endif // QCD_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/base/include/vec4.h b/gaps-1.1/cpp-shower/base/include/vec4.h
new file mode 100644
index 0000000..d4b032e
--- /dev/null
+++ b/gaps-1.1/cpp-shower/base/include/vec4.h
@@ -0,0 +1,131 @@
+#ifndef VEC4_H_
+#define VEC4_H_
+
+// Base Class, with all the important definitions
+#include "base.h"
+
+class Vec4 {
+ private:
+ double E, px, py, pz;
+
+ public:
+ // Constructor - Define key attributes Energy and Momentum
+ Vec4(double E = 0., double px = 0., double py = 0., double pz = 0.)
+ : E(E), px(px), py(py), pz(pz) {}
+
+ // Get Method to Obtain Attribute Value
+ double operator[](int i) const {
+ switch (i) {
+ case 0:
+ return E;
+ case 1:
+ return px;
+ case 2:
+ return py;
+ case 3:
+ return pz;
+ default:
+ return 0;
+ }
+ }
+
+ // Print a Column Vector with the attributes
+ friend std::ostream& operator<<(std::ostream& os, const Vec4& v) {
+ os << "(" << v.E << "," << v.px << "," << v.py << "," << v.pz << ")";
+ return os;
+ }
+
+ // Simple Mathematics with Four vectors
+ Vec4 operator+(const Vec4& v) const {
+ return Vec4(E + v.E, px + v.px, py + v.py, pz + v.pz);
+ }
+
+ Vec4 operator-() const { return Vec4(-E, -px, -py, -pz); }
+
+ Vec4 operator-(const Vec4& v) const {
+ return Vec4(E - v.E, px - v.px, py - v.py, pz - v.pz);
+ }
+
+ // Multiplication (and Dot Product)
+ double operator*(const Vec4& v) const {
+ return E * v.E - px * v.px - py * v.py - pz * v.pz;
+ }
+
+ Vec4 operator*(double v) const { return Vec4(E * v, px * v, py * v, pz * v); }
+
+ // Division
+ Vec4 operator/(double v) const { return Vec4(E / v, px / v, py / v, pz / v); }
+
+ // Magnitude of the Vector
+ double M2() const { return (*this) * (*this); }
+
+ double M() const {
+ double m2 = M2();
+ return m2 > 0 ? sqrt(m2) : 0;
+ }
+
+ // 3 Momenta
+ double P2() const { return px * px + py * py + pz * pz; }
+
+ double P() const {
+ double p2 = P2();
+ return p2 > 0 ? sqrt(p2) : 0;
+ }
+
+ // Transverse Momenta
+ double PT2() const { return px * px + py * py; }
+
+ double PT() const {
+ double pt2 = PT2();
+ return pt2 > 0 ? sqrt(pt2) : 0;
+ }
+
+ // Angles
+ double Theta() const {
+ double p = P();
+ return p != 0 ? acos(pz / p) : 0;
+ }
+
+ double Phi() const {
+ if (px == 0 && py == 0) {
+ return 0.;
+ } else {
+ return atan2(py, px);
+ }
+ }
+
+ double Rapidity() const {
+ double denominator = (E - pz);
+ return denominator != 0 ? 0.5 * log((E + pz) / denominator) : 0;
+ }
+
+ double Eta() const {
+ double theta = Theta();
+ return -log(tan(theta / 2.));
+ }
+
+ // Three Momenta Dot and Cross Product
+ double Dot(const Vec4& v) const { return px * v.px + py * v.py + pz * v.pz; }
+
+ Vec4 Cross(const Vec4& v) const {
+ return Vec4(0., py * v.pz - pz * v.py, pz * v.px - px * v.pz,
+ px * v.py - py * v.px);
+ }
+
+ // Boosts
+ Vec4 Boost(const Vec4& v) const {
+ double rsq = M();
+ double v0 = (E * v.E - px * v.px - py * v.py - pz * v.pz) / rsq;
+ double c1 = (v.E + v0) / (rsq + E);
+ return Vec4(v0, v.px - c1 * px, v.py - c1 * py, v.pz - c1 * pz);
+ }
+
+ Vec4 BoostBack(const Vec4& v) const {
+ double rsq = M();
+ double v0 = (E * v.E + px * v.px + py * v.py + pz * v.pz) / rsq;
+ double c1 = (v.E + v0) / (rsq + E);
+ return Vec4(v0, v.px + c1 * px, v.py + c1 * py, v.pz + c1 * pz);
+ }
+};
+
+#endif // VEC4_H_
diff --git a/gaps-1.1/cpp-shower/main.cpp b/gaps-1.1/cpp-shower/main.cpp
new file mode 100644
index 0000000..17b7c11
--- /dev/null
+++ b/gaps-1.1/cpp-shower/main.cpp
@@ -0,0 +1,174 @@
+// To Measure Wall Clock Time and Write to File
+#include <chrono>
+#include <fstream>
+
+// Base Components
+#include "base.h"
+
+// ME
+#include "matrix.h"
+
+// Shower
+#include "shower.h"
+
+// Analysis
+#include "observables.h"
+
+/**
+ * GAPS: C++ Shower for Comparison
+ * ------------------------------------
+ *
+ * This program is a translation of S. Höche's "Introduction to Parton Showers"
+ * Python tutorial[1], with added functionality for parallelisation, a Event
+ * class and event shape analyses.
+ *
+ * The purpose of this program is to compare the performance of the C++ and
+ * CUDA versions of the shower, and to compare the performance of the C++ with
+ * parallelisation and CUDA.
+ *
+ * [1] https://arxiv.org/abs/1411.4085 and MCNET-CTEQ 2021 Tutorial
+ */
+
+// -----------------------------------------------------------------------------
+
+void runGenerator(const int& N, const double& E, const std::string& filename) {
+ // ---------------------------------------------------------------------------
+ // Give some information about the simulation
+
+ std::cout << "-------------------------------------------------" << std::endl;
+ std::cout << "| GAPS: C++ Shower for Comparison |" << std::endl;
+ std::cout << "-------------------------------------------------" << std::endl;
+ std::cout << "Process: e+ e- --> q qbar" << std::endl;
+ std::cout << "Number of Events: " << N << std::endl;
+ std::cout << "Centre of Mass Energy: " << E << " GeV" << std::endl;
+ std::cout << "" << std::endl;
+
+ // ---------------------------------------------------------------------------
+ // Inititalisation
+
+ std::cout << "Initialising..." << std::endl;
+ std::vector<Event> events(N);
+
+ // ---------------------------------------------------------------------------
+ // Matrix Element Generation
+
+ std::cout << "Generating Matrix Elements (C++)..." << std::endl;
+ auto start = std::chrono::high_resolution_clock::now();
+
+ Matrix xs(asmz, E);
+
+ for (int i = 0; i < N; i++) {
+ xs.GenerateLOPoint(events[i]); // Random Seed
+ // (same seed option is off in matrix.cpp!)
+ }
+
+ auto end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_me = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Showering
+
+ std::cout << "Showering Partons (C++)..." << std::endl;
+ start = std::chrono::high_resolution_clock::now();
+
+ Shower sh;
+
+ for (int i = 0; i < N; i++) {
+ sh.Run(events[i]); // Random Seed
+ // (same seed option is off in shower.cpp!)
+ }
+
+ end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_sh = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Analysis
+
+ std::cout << "Analysing Events (C++)..." << std::endl;
+ start = std::chrono::high_resolution_clock::now();
+
+ // Remove existing file
+ std::remove(filename.c_str());
+
+ Analysis an;
+
+ // Analyze events (Including Validation of Colour and Momentum Conservation)
+ for (int i = 0; i < N; i++) {
+ an.Analyze(events[i]);
+ }
+
+ // Storage
+ an.Finalize(filename);
+
+ end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_an = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Results
+
+ double diff = diff_me.count() + diff_sh.count() + diff_an.count();
+
+ std::cout << "" << std::endl;
+ std::cout << "EVENT GENERATION COMPLETE" << std::endl;
+ std::cout << "" << std::endl;
+ std::cout << "ME Time: " << diff_me.count() << " s" << std::endl;
+ std::cout << "Sh Time: " << diff_sh.count() << " s" << std::endl;
+ std::cout << "An Time: " << diff_an.count() << " s" << std::endl;
+ std::cout << "" << std::endl;
+ std::cout << "Total Time: " << diff << " s" << std::endl;
+ std::cout << "" << std::endl;
+
+ // Open the file in append mode. This will create the file if it doesn't
+ // exist.
+ std::ofstream outfile("cpp-time.dat", std::ios_base::app);
+
+ // Write diff_sh.count() to the file.
+ outfile << diff_me.count() << ", " << diff_sh.count() << ", "
+ << diff_an.count() << ", " << diff << std::endl;
+
+ // Close the file.
+ outfile.close();
+
+ std::cout << "Histograms written to " << filename << std::endl;
+ std::cout << "Timing data written to cpp-time.dat" << std::endl;
+ std::cout << "------------------------------------------------" << std::endl;
+}
+// -----------------------------------------------------------------------------
+
+int main(int argc, char* argv[]) {
+ // Import Settings
+ int N = argc > 1 ? atoi(argv[1]) : 10000;
+ double E = argc > 2 ? atof(argv[2]) : 91.2;
+
+ // If more than maxEvents, run in batches
+ if (N > maxEvents) {
+ std::cout << "-------------------------------------------------"
+ << std::endl;
+ std::cout << "More Events than GPU Can Handle at Once!" << std::endl;
+ std::cout << "Running in batches..." << std::endl;
+ std::cout << "Please use rivet-merge to combine runs" << std::endl;
+
+ // Split into batches
+ int nBatches = N / maxEvents;
+ int nRemainder = N % maxEvents;
+ std::cout << "Number of Batches: " << nBatches << std::endl;
+ std::cout << "Size of Remainder: " << nRemainder << std::endl;
+
+ // Run in batches
+ for (int i = 0; i < nBatches; i++) {
+ std::string filename = "cpp-" + std::to_string(i) + ".yoda";
+ runGenerator(maxEvents, E, filename);
+ }
+
+ // Run remainder
+ if (nRemainder > 0) {
+ std::string filename = "cpp-" + std::to_string(nBatches) + ".yoda";
+ runGenerator(nRemainder, E, filename);
+ }
+ } else {
+ runGenerator(N, E, "cpp.yoda");
+ }
+
+ return 0;
+}
+// -----------------------------------------------------------------------------
diff --git a/gaps-1.1/cpp-shower/matrix/CMakeLists.txt b/gaps-1.1/cpp-shower/matrix/CMakeLists.txt
new file mode 100644
index 0000000..fa77830
--- /dev/null
+++ b/gaps-1.1/cpp-shower/matrix/CMakeLists.txt
@@ -0,0 +1,9 @@
+cmake_minimum_required(VERSION 3.10)
+project(matrix)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cpp")
+
+add_library(matrix ${SOURCES})
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/matrix/include/matrix.h b/gaps-1.1/cpp-shower/matrix/include/matrix.h
new file mode 100644
index 0000000..ab27db2
--- /dev/null
+++ b/gaps-1.1/cpp-shower/matrix/include/matrix.h
@@ -0,0 +1,23 @@
+#ifndef MATRIX_H_
+#define MATRIX_H_
+
+// Parton includes Base, which has the CUDA libraries
+#include "event.h"
+
+// Matrix class
+class Matrix {
+ private:
+ double alphas, ecms, MZ2, GZ2, alpha, sin2tw, amin, ye, ze, ws;
+
+ public:
+ // Constructor
+ Matrix(double alphas = asmz, double ecms = 91.2);
+
+ // Leading Order Matrix Element Generation
+ double ME2(int fl, double s, double t);
+
+ // Generate a leading order point
+ void GenerateLOPoint(Event &ev);
+};
+
+#endif // MATRIX_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/matrix/src/matrix.cpp b/gaps-1.1/cpp-shower/matrix/src/matrix.cpp
new file mode 100644
index 0000000..1ce1720
--- /dev/null
+++ b/gaps-1.1/cpp-shower/matrix/src/matrix.cpp
@@ -0,0 +1,80 @@
+#include "matrix.h"
+
+// Constructor
+Matrix::Matrix(double alphas, double ecms)
+ : alphas(alphas),
+ ecms(ecms),
+ MZ2(pow(91.1876, 2.)),
+ GZ2(pow(2.4952, 2.)),
+ alpha(1. / 128.802),
+ sin2tw(0.22293),
+ amin(1.e-10),
+ ye(0.5),
+ ze(0.01),
+ ws(0.25) {}
+
+// Leading Order Matrix Element Generation
+double Matrix::ME2(int fl, double s, double t) {
+ double qe = -1.;
+ double ae = -0.5;
+ double ve = ae - 2. * qe * sin2tw;
+ double qf = (fl == 2 || fl == 4) ? 2. / 3. : -1. / 3.;
+ double af = (fl == 2 || fl == 4) ? 0.5 : -0.5;
+ double vf = af - 2. * qf * sin2tw;
+ double kappa = 1. / (4. * sin2tw * (1. - sin2tw));
+ double chi1 = kappa * s * (s - MZ2) / (pow(s - MZ2, 2.) + GZ2 * MZ2);
+ double chi2 = pow(kappa * s, 2.) / (pow(s - MZ2, 2.) + GZ2 * MZ2);
+ double term1 = (1. + pow(1. + 2. * t / s, 2.)) *
+ (pow(qf * qe, 2.) + 2. * (qf * qe * vf * ve) * chi1 +
+ (ae * ae + ve * ve) * (af * af + vf * vf) * chi2);
+ double term2 = (1. + 2. * t / s) * (4. * qe * qf * ae * af * chi1 +
+ 8. * ae * ve * af * vf * chi2);
+ return pow(4. * M_PI * alpha, 2.) * 3. * (term1 + term2);
+}
+
+// Generate a point
+void Matrix::GenerateLOPoint(Event &ev) {
+ thread_local std::random_device rd;
+ thread_local std::mt19937 gen(rd());
+
+ // Same seed option. Turn off by commenting when not in use!
+ // Having an if statement if no seed is given would not be a fair comparison
+ // to the GPU, so commented out is better for now. Maybe in the future.
+ // thread_local std::mt19937 gen(seed);
+
+ std::uniform_real_distribution<> dis(0., 1.); // Uniform distribution
+
+ double ct = 2. * dis(gen) - 1.;
+ double st = std::sqrt(1. - ct * ct);
+ double phi = 2. * M_PI * dis(gen);
+
+ int fl = std::rand() % 5 + 1; // Faster than using dis(gen)
+ double p0 = 0.5 * ecms;
+
+ Vec4 pa(p0, 0., 0., p0);
+ Vec4 pb(p0, 0., 0., -p0);
+ Vec4 p1(p0, p0 * st * cos(phi), p0 * st * sin(phi), p0 * ct);
+ Vec4 p2(p0, -p0 * st * cos(phi), -p0 * st * sin(phi), -p0 * ct);
+
+ double lome = ME2(fl, (pa + pb).M2(), (pa - p1).M2());
+
+ // Calculate the differential cross section
+ // 5 = 5 flavours (?)
+ // 3.89379656e8 = Convert from GeV^-2 to pb
+ // 8 pi = Standard Phase Space Factor
+ // pow(matrix->GetECMS(), 2.) = center of mass energy squared, s
+ double dxs =
+ 5. * lome * 3.89379656e8 / (8. * M_PI) / (2. * std::pow(ecms, 2.));
+
+ Parton p[4] = {Parton(-11, -pa, 0, 0), Parton(11, -pb, 0, 0),
+ Parton(fl, p1, 1, 0), Parton(-fl, p2, 0, 1)};
+
+ // Set the Partons
+ for (int i = 0; i < 4; i++) {
+ ev.SetParton(i, p[i]);
+ }
+
+ // Set the ME Params
+ ev.SetDxs(dxs);
+ ev.SetHard(4);
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/CMakeLists.txt b/gaps-1.1/cpp-shower/observables/CMakeLists.txt
new file mode 100644
index 0000000..b085393
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/CMakeLists.txt
@@ -0,0 +1,9 @@
+cmake_minimum_required(VERSION 3.10)
+project(observables)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cpp")
+
+add_library(observables ${SOURCES})
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/include/dalitz.h b/gaps-1.1/cpp-shower/observables/include/dalitz.h
new file mode 100644
index 0000000..e3eb325
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/include/dalitz.h
@@ -0,0 +1,9 @@
+#ifndef DALITZ_H_
+#define DALITZ_H_
+
+#include "event.h"
+
+// Dalitz Plot
+void CalculateDalitz(Event& ev);
+
+#endif // DALITZ_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/include/eventshapes.h b/gaps-1.1/cpp-shower/observables/include/eventshapes.h
new file mode 100644
index 0000000..0e82a72
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/include/eventshapes.h
@@ -0,0 +1,11 @@
+#ifndef EVENTSHAPES_H_
+#define EVENTSHAPES_H_
+
+#include "event.h"
+
+// Event Shapes
+void bubbleSort(Vec4* moms, int n);
+void CalculateThrust(Event& ev);
+void CalculateJetMBr(Event& ev);
+
+#endif // EVENTSHAPES_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/include/jetrates.h b/gaps-1.1/cpp-shower/observables/include/jetrates.h
new file mode 100644
index 0000000..ff34834
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/include/jetrates.h
@@ -0,0 +1,10 @@
+#ifndef JETRATES_H_
+#define JETRATES_H_
+
+#include "event.h"
+
+// Jet Rates using the Durham Algorithm
+double Yij(const Vec4& p, const Vec4& q);
+void Cluster(Event& ev);
+
+#endif // JETRATES_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/include/observables.h b/gaps-1.1/cpp-shower/observables/include/observables.h
new file mode 100644
index 0000000..d202855
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/include/observables.h
@@ -0,0 +1,47 @@
+#ifndef DURHAM_H_
+#define DURHAM_H_
+
+#include "dalitz.h"
+#include "event.h"
+#include "eventshapes.h"
+#include "histogram.h"
+#include "jetrates.h"
+
+/**
+ * Slight Difference between C++ and CUDA codes
+ * --------------------------------------------
+ *
+ * Here, we don't need Analyse and Finalize functions to be outside the class.
+ * So we can just include them in the class definition. Also we have to use the
+ * same class for all events!
+ */
+class Analysis {
+ public:
+ Histo1D hists[10];
+ Histo2D dalitz;
+
+ double wtot; // Scale by Weight for 1/sigma d(sigma)/d Observable
+ double ntot; // Scale by Number for d(sigma)/d Observable
+
+ public:
+ Analysis() : wtot(0.), ntot(0.) {
+ hists[0] = Histo1D(-4.3, -0.3, "/gaps/log10y23\n");
+ hists[1] = Histo1D(-4.3, -0.3, "/gaps/log10y34\n");
+ hists[2] = Histo1D(-4.3, -0.3, "/gaps/log10y45\n");
+ hists[3] = Histo1D(-4.3, -0.3, "/gaps/log10y56\n");
+ hists[4] = Histo1D(0., 0.5, "/gaps/tvalue\n");
+ hists[5] = Histo1D(0., 0.5, "/gaps/tzoomd\n");
+ hists[6] = Histo1D(0., 1., "/gaps/hjm\n");
+ hists[7] = Histo1D(0., 0.5, "/gaps/ljm\n");
+ hists[8] = Histo1D(0., 0.5, "/gaps/wjb\n");
+ hists[9] = Histo1D(0., 0.2, "/gaps/njb\n");
+
+ dalitz = Histo2D(0., 1., 0., 1., "/gaps/dalitz\n");
+ }
+
+ // Member Functions Here, but not in CUDA
+ void Analyze(Event& ev);
+ void Finalize(const std::string& filename);
+};
+
+#endif // DURHAM_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/src/dalitz.cpp b/gaps-1.1/cpp-shower/observables/src/dalitz.cpp
new file mode 100644
index 0000000..978e65b
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/src/dalitz.cpp
@@ -0,0 +1,23 @@
+#include "dalitz.h"
+
+// Dalitz Plot
+
+void CalculateDalitz(Event& ev) {
+ if (!ev.GetValidity() || ev.GetPartonSize() != 3) {
+ return;
+ }
+
+ // Obtain Energy from incoming partons
+ double E = abs(ev.GetParton(0).GetMom()[0] + ev.GetParton(1).GetMom()[0]);
+
+ // By default, element 2 is quark and 3 is antiquark
+ // i.e. emission will be element 4
+ Vec4 p1 = ev.GetParton(2).GetMom();
+ Vec4 p2 = ev.GetParton(3).GetMom();
+
+ // Calculate x1 and x2
+ double x1 = 2 * p1.P() / E;
+ double x2 = 2 * p2.P() / E;
+
+ ev.SetDalitz(x1, x2);
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/src/eventshapes.cpp b/gaps-1.1/cpp-shower/observables/src/eventshapes.cpp
new file mode 100644
index 0000000..59566c6
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/src/eventshapes.cpp
@@ -0,0 +1,156 @@
+#include "eventshapes.h"
+
+// Event Shapes
+
+void bubbleSort(Vec4* moms, int n) {
+ for (int i = 0; i < n - 1; i++) {
+ for (int j = 0; j < n - i - 1; j++) {
+ if (moms[j].P() < moms[j + 1].P()) {
+ Vec4 temp = moms[j];
+ moms[j] = moms[j + 1];
+ moms[j + 1] = temp;
+ }
+ }
+ }
+}
+
+void CalculateThrust(Event& ev) {
+ if (!ev.GetValidity() || ev.GetPartonSize() < 3) {
+ return;
+ }
+
+ Vec4 moms[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ moms[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ bubbleSort(moms, maxPartons);
+
+ double momsum = 0.;
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ momsum += moms[i].P();
+ }
+
+ double thr = 0.;
+ Vec4 t_axis = Vec4();
+
+ for (int k = 1; k < ev.GetPartonSize(); ++k) {
+ for (int j = 0; j < k; ++j) {
+ Vec4 tmp_axis = moms[j].Cross(moms[k]);
+ Vec4 p_thrust = Vec4();
+ Vec4 p_combin[4];
+
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ if (i != j && i != k) {
+ if (moms[i].Dot(tmp_axis) >= 0) {
+ p_thrust = p_thrust + moms[i];
+ } else {
+ p_thrust = p_thrust - moms[i];
+ }
+ }
+ }
+
+ p_combin[0] = (p_thrust + moms[j] + moms[k]);
+ p_combin[1] = (p_thrust + moms[j] - moms[k]);
+ p_combin[2] = (p_thrust - moms[j] + moms[k]);
+ p_combin[3] = (p_thrust - moms[j] - moms[k]);
+
+ for (int i = 0; i < 4; ++i) {
+ double temp = p_combin[i].P();
+ if (temp > thr) {
+ thr = temp;
+ t_axis = p_combin[i];
+ }
+ }
+ }
+ }
+
+ thr /= momsum;
+ thr = 1. - thr;
+
+ t_axis = t_axis / (t_axis).P();
+ if (t_axis[3] < 0) {
+ t_axis = t_axis * -1.;
+ }
+
+ if (thr < 1e-12) {
+ thr = -5.;
+ }
+
+ ev.SetThr(thr);
+ ev.SetTAxis(t_axis);
+}
+
+void CalculateJetMBr(Event& ev) {
+ if (!ev.GetValidity() || ev.GetPartonSize() < 3) {
+ return;
+ }
+
+ Vec4 moms[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ moms[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ double momsum = 0.;
+ for (int i = 0; i < ev.GetSize(); ++i) {
+ momsum += moms[i].P();
+ }
+
+ Vec4 p_with, p_against;
+ int n_with = 0, n_against = 0;
+ double e_vis = 0., broad_with = 0., broad_against = 0.,
+ broad_denominator = 0.;
+
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ double mo_para = moms[i].Dot(ev.GetTAxis());
+ double mo_perp = (moms[i] - (ev.GetTAxis() * mo_para)).P();
+ double enrg = moms[i].P();
+
+ e_vis += enrg;
+ broad_denominator += 2. * enrg;
+
+ if (mo_para > 0.) {
+ p_with = p_with + moms[i];
+ broad_with += mo_perp;
+ n_with++;
+ } else if (mo_para < 0.) {
+ p_against = p_against + moms[i];
+ broad_against += mo_perp;
+ n_against++;
+ } else {
+ p_with = p_with + (moms[i] * 0.5);
+ p_against = p_against + (moms[i] * 0.5);
+ broad_with += 0.5 * mo_perp;
+ broad_against += 0.5 * mo_perp;
+ n_with++;
+ n_against++;
+ }
+ }
+
+ double e2_vis = e_vis * e_vis;
+
+ double mass2_with = fabs(p_with.M2() / e2_vis);
+ double mass2_against = fabs(p_against.M2() / e2_vis);
+
+ double mass_with = sqrt(mass2_with);
+ double mass_against = sqrt(mass2_against);
+
+ broad_with /= broad_denominator;
+ broad_against /= broad_denominator;
+
+ double mH = fmax(mass_with, mass_against);
+ double mL = fmin(mass_with, mass_against);
+
+ double bW = fmax(broad_with, broad_against);
+ double bN = fmin(broad_with, broad_against);
+
+ if (n_with == 1 || n_against == 1) {
+ ev.SetHJM(mH);
+ ev.SetWJB(bW);
+ } else {
+ ev.SetHJM(mH);
+ ev.SetLJM(mL);
+ ev.SetWJB(bW);
+ ev.SetNJB(bN);
+ }
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/observables/src/jetrates.cpp b/gaps-1.1/cpp-shower/observables/src/jetrates.cpp
new file mode 100644
index 0000000..840fec6
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/src/jetrates.cpp
@@ -0,0 +1,95 @@
+#include "jetrates.h"
+
+// Jet Rates
+
+// Yij function Used for the Durham analysis
+double Yij(const Vec4& p, const Vec4& q, double ecm2) {
+ double pq = p[1] * q[1] + p[2] * q[2] + p[3] * q[3];
+ double min_pq = std::min(p[0], q[0]);
+ double max_pq = std::max(pq / std::sqrt(p.P2() * q.P2()), -1.);
+ return 2. * std::pow(min_pq, 2) * (1. - std::min(max_pq, 1.)) / ecm2;
+}
+
+// Durham Clustering Algorithm
+void Cluster(Event& ev) {
+ if (!ev.GetValidity()) {
+ return;
+ }
+ // For C++, one can use the std::vector class to store the parton 4-momenta.
+ // Howver, this would be inefficient for CUDA, so we use a pre-set array size
+ // To make the comparison fair, we make this class use the same array size
+ // as well.
+
+ // Get the center of mass energy squared
+ double ecm2 = (ev.GetParton(0).GetMom() + ev.GetParton(1).GetMom()).M2();
+
+ // Extract the 4-momenta of the partons
+ Vec4 p[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ p[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ // kt2 will store the kt2 values for each clustering step
+ // If not changed, set to -1 so we can ignore when histogramming
+ double kt2[maxPartons] = {-1.};
+ int counter = 0;
+
+ // Number of partons (which will change when clustered), lower case to avoid N
+ int n = ev.GetPartonSize();
+
+ // imap will store the indices of the partons
+ int imap[maxPartons];
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ imap[i] = i;
+ }
+
+ // kt2ij will store the kt2 values for each pair of partons
+ double kt2ij[maxPartons][maxPartons] = {0.};
+ double dmin = 1.;
+ int ii = 0, jj = 0;
+ for (int i = 0; i < n; ++i) {
+ for (int j = 0; j < i; ++j) {
+ double dij = kt2ij[i][j] = Yij(p[i], p[j], ecm2);
+ if (dij < dmin) {
+ dmin = dij;
+ ii = i;
+ jj = j;
+ }
+ }
+ }
+
+ // Cluster the partons
+ while (n > 2) {
+ --n;
+ kt2[counter] = dmin;
+ counter++;
+ int jjx = imap[jj];
+ p[jjx] = p[jjx] + p[imap[ii]];
+ for (int i = ii; i < n; ++i) {
+ imap[i] = imap[i + 1];
+ }
+ for (int j = 0; j < jj; ++j) {
+ kt2ij[jjx][imap[j]] = Yij(p[jjx], p[imap[j]], ecm2);
+ }
+ for (int i = jj + 1; i < n; ++i) {
+ kt2ij[imap[i]][jjx] = Yij(p[jjx], p[imap[i]], ecm2);
+ }
+ dmin = 1.;
+ for (int i = 0; i < n; ++i) {
+ for (int j = 0; j < i; ++j) {
+ double dij = kt2ij[imap[i]][imap[j]];
+ if (dij < dmin) {
+ dmin = dij;
+ ii = i;
+ jj = j;
+ }
+ }
+ }
+ }
+
+ // Store the kt2 values in the output arrays
+ ev.SetY23(counter > 0 ? log10(kt2[counter - 1 - 0]) : -50.);
+ ev.SetY34(counter > 1 ? log10(kt2[counter - 1 - 1]) : -50.);
+ ev.SetY45(counter > 2 ? log10(kt2[counter - 1 - 2]) : -50.);
+ ev.SetY56(counter > 3 ? log10(kt2[counter - 1 - 3]) : -50.);
+}
diff --git a/gaps-1.1/cpp-shower/observables/src/observables.cpp b/gaps-1.1/cpp-shower/observables/src/observables.cpp
new file mode 100644
index 0000000..8a1621e
--- /dev/null
+++ b/gaps-1.1/cpp-shower/observables/src/observables.cpp
@@ -0,0 +1,69 @@
+#include "observables.h"
+
+// Observable Analysis
+
+void Analysis::Analyze(Event& ev) {
+ // Validate Event
+ ev.SetValidity(ev.Validate());
+
+ if (!ev.GetValidity()) {
+ printf("Invalid Event\n");
+ return;
+ }
+
+ // Cluster
+ Cluster(ev);
+
+ // Calculate Thrust
+ CalculateThrust(ev);
+
+ // Calculate JetMBr
+ CalculateJetMBr(ev);
+
+ /**
+ * Why is the Dalitz Plot off?
+ * ---------------------------
+ *
+ * While the Dalitz analysis also benefits from the GPU parallelisation, the
+ * writing of the data to file severely limits the performance, as instead of
+ * the usual 100 bins, we have 100^2 = 1000 bins. This takes around 0.04s,
+ * which is minute in the C++ case, but is in fact 40% of the total analysis
+ * time! So for our tests, we keep this off, to keep our comparisons fair,
+ * and relvant to the actual GPU effect.
+ *
+ * If you want to turn it on, uncomment the lines in this file, and it's
+ * equivalent in the 'observables.cpp' file.
+ */
+ // Calculate Dalitz
+ // CalculateDalitz(ev);
+
+ // Fill Histograms
+ hists[0].Fill(ev.GetY23(), ev.GetDxs());
+ hists[1].Fill(ev.GetY34(), ev.GetDxs());
+ hists[2].Fill(ev.GetY45(), ev.GetDxs());
+ hists[3].Fill(ev.GetY56(), ev.GetDxs());
+ hists[4].Fill(ev.GetThr(), ev.GetDxs());
+ hists[5].Fill(ev.GetThr(), ev.GetDxs());
+ hists[6].Fill(ev.GetHJM(), ev.GetDxs());
+ hists[7].Fill(ev.GetLJM(), ev.GetDxs());
+ hists[8].Fill(ev.GetWJB(), ev.GetDxs());
+ hists[9].Fill(ev.GetNJB(), ev.GetDxs());
+
+ // Dalitz Plot is OFF
+ // dalitz.Fill(ev.GetDalitz(0), ev.GetDalitz(1), ev.GetDxs());
+
+ // Weighted Total
+ wtot += ev.GetDxs();
+ ntot += 1.;
+}
+
+void Analysis::Finalize(const std::string& filename) {
+ for (auto& hist : hists) {
+ hist.ScaleW(1. / ntot);
+ hist.Write(filename);
+ }
+
+ // Dalitz Plot is OFF
+ // dalitz.ScaleW(1. / ntot);
+ // dalitz.Write(filename);
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/shower/CMakeLists.txt b/gaps-1.1/cpp-shower/shower/CMakeLists.txt
new file mode 100644
index 0000000..eaeab58
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/CMakeLists.txt
@@ -0,0 +1,9 @@
+cmake_minimum_required(VERSION 3.10)
+project(shower)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cpp")
+
+add_library(shower ${SOURCES})
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/shower/include/shower.h b/gaps-1.1/cpp-shower/shower/include/shower.h
new file mode 100644
index 0000000..39e1a7d
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/include/shower.h
@@ -0,0 +1,51 @@
+#ifndef SHOWER_H_
+#define SHOWER_H_
+
+#include "event.h"
+#include "qcd.h"
+
+// Splitting Function Codes - Only FF for now (Removed Zeroes)
+// ------------------------------------------
+const int sfCodes[] = {1, 2, 3, 4, 5, 11, 12, 13,
+ 14, 15, 200, 301, 302, 303, 304, 305};
+
+// Shower Class - NOT IN GPU as kernels cannot be member functions
+class Shower {
+ private:
+ AlphaS as = AlphaS(mz, asmz);
+
+ public:
+ Shower(); // tC and asmax are preset in base
+
+ // In CUDA, we cannot point by reference, so we use
+ // pointers (*) instead of references (&).
+
+ // Splitting Functions
+ double sfValue(double z, double y, int sf);
+ double sfEstimate(double z, int sf);
+ double sfIntegral(double zm, double zp, int sf);
+ double sfGenerateZ(double zm, double zp, double rand, int sf);
+
+ // Utilities
+ bool validateSplitting(int ij, const int sf);
+ void sfToFlavs(int sf, int* flavs);
+
+ // Select the Winner Emission
+ void SelectWinner(Event& ev, std::mt19937& gen);
+
+ // Kinematics
+ void MakeKinematics(Vec4* kinematics, const double z, const double y,
+ const double phi, const Vec4 pijt, const Vec4 pkt);
+
+ // Colours
+ void MakeColours(Event& ev, int* coli, int* colj, const int flavs[3],
+ const int colij[2], const int colk[2], const double r);
+
+ // Veto Algorithm + Perform the Splitting
+ void GenerateSplitting(Event& ev, std::mt19937& gen);
+
+ // Run the Shower
+ void Run(Event& ev);
+};
+
+#endif // SHOWER_H_
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/shower/src/colours.cpp b/gaps-1.1/cpp-shower/shower/src/colours.cpp
new file mode 100644
index 0000000..54648c8
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/src/colours.cpp
@@ -0,0 +1,55 @@
+#include "shower.h"
+
+void Shower::MakeColours(Event& ev, int* coli, int* colj, const int flavs[3],
+ const int colij[2], const int colk[2],
+ const double r) {
+ // Increase variable ev.GetShowerC() by 1
+ ev.IncrementShowerC();
+
+ if (flavs[0] != 21) {
+ if (flavs[0] > 0) {
+ coli[0] = ev.GetShowerC();
+ coli[1] = 0;
+ colj[0] = colij[0];
+ colj[1] = ev.GetShowerC();
+ } else {
+ coli[0] = 0;
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ }
+ } else {
+ if (flavs[1] == 21) {
+ if (colij[0] == colk[1]) {
+ if (colij[1] == colk[0] && r > 0.5) {
+ coli[0] = colij[0];
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ } else {
+ coli[0] = ev.GetShowerC();
+ coli[1] = colij[1];
+ colj[0] = colij[0];
+ colj[1] = ev.GetShowerC();
+ }
+ } else {
+ coli[0] = colij[0];
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ }
+ } else {
+ if (flavs[1] > 0) {
+ coli[0] = colij[0];
+ coli[1] = 0;
+ colj[0] = 0;
+ colj[1] = colij[1];
+ } else {
+ coli[0] = 0;
+ coli[1] = colij[1];
+ colj[0] = colij[0];
+ colj[1] = 0;
+ }
+ }
+ }
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/shower/src/kinematics.cpp b/gaps-1.1/cpp-shower/shower/src/kinematics.cpp
new file mode 100644
index 0000000..597c6a1
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/src/kinematics.cpp
@@ -0,0 +1,31 @@
+#include "shower.h"
+
+void Shower::MakeKinematics(Vec4* kinematics, const double z, const double y,
+ const double phi, const Vec4 pijt, const Vec4 pkt) {
+ Vec4 Q = pijt + pkt;
+
+ // Generating the Momentum (0, kt1, kt2, 0)
+ double rkt = sqrt(Q.M2() * y * z * (1. - z));
+
+ Vec4 kt1 = pijt.Cross(pkt);
+ if (kt1.P() < 1.e-6) {
+ Vec4 xaxis(0., 1., 0., 0.);
+ kt1 = pijt.Cross(xaxis);
+ }
+ kt1 = kt1 * (rkt * cos(phi) / kt1.P());
+
+ Vec4 kt2cms = Q.Boost(pijt);
+ kt2cms = kt2cms.Cross(kt1);
+ kt2cms = kt2cms * (rkt * sin(phi) / kt2cms.P());
+ Vec4 kt2 = Q.BoostBack(kt2cms);
+
+ // Conversion to {i, j, k} basis
+ Vec4 pi = pijt * z + pkt * ((1. - z) * y) + kt1 + kt2;
+ Vec4 pj = pijt * (1. - z) + pkt * (z * y) - kt1 - kt2;
+ Vec4 pk = pkt * (1. - y);
+
+ // No need to do *kinematics[0], for arrays the elements are already pointers
+ kinematics[0] = pi;
+ kinematics[1] = pj;
+ kinematics[2] = pk;
+}
\ No newline at end of file
diff --git a/gaps-1.1/cpp-shower/shower/src/shower.cpp b/gaps-1.1/cpp-shower/shower/src/shower.cpp
new file mode 100644
index 0000000..50eee11
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/src/shower.cpp
@@ -0,0 +1,187 @@
+#include "shower.h"
+
+Shower::Shower() {}
+
+/**
+ * This Function is Different from S.H's Tutorial, we keep it the same as the
+ * GPU version for a fair test
+ */
+void Shower::SelectWinner(Event& ev, std::mt19937& gen) {
+ std::uniform_real_distribution<> dis(0., 1.);
+
+ // Default Values
+ double win_tt = tC; // Lowest possible value is Cutoff Scale (in base.cuh)
+ int win_sf = 0; // 0 = No Splitting
+ int win_ij = 0;
+ int win_k = 0;
+ double win_zp = 0.;
+ double win_m2 = 0.;
+
+ // We start at 2 because elements 0 and 1 are electrons - To change with ISR
+ for (int ij = 2; ij < ev.GetSize(); ij++) {
+ for (int k = 2; k < ev.GetSize(); k++) {
+ // Sanity Check to ensure ij != k
+ if (ij == k) {
+ continue;
+ }
+
+ // Need to check if ij and k are colour connected
+ if (!ev.GetParton(ij).IsColorConnected(ev.GetParton(k))) {
+ continue;
+ }
+
+ // Params Identical to all splitting functions
+ double m2 = (ev.GetParton(ij).GetMom() + ev.GetParton(k).GetMom()).M2();
+ if (m2 < 4. * tC) {
+ continue;
+ }
+
+ double zp = 0.5 * (1. + sqrt(1. - 4. * tC / m2));
+
+ // Codes instead of Object Oriented Approach!
+ for (int sf : sfCodes) {
+ // Check if the Splitting Function is valid for the current partons
+ if (!validateSplitting(ev.GetParton(ij).GetPid(), sf)) {
+ continue;
+ }
+
+ // Calculate the Evolution Variable
+ double g = asmax / (2. * M_PI) * sfIntegral(1 - zp, zp, sf);
+ double tt = ev.GetShowerT() * pow(dis(gen), 1. / g);
+
+ // Check if tt is greater than the current winner
+ if (tt > win_tt) {
+ win_tt = tt;
+ win_sf = sf;
+ win_ij = ij;
+ win_k = k;
+ win_zp = zp;
+ win_m2 = m2;
+ }
+ }
+ }
+ }
+
+ // Store the results
+ ev.SetShowerT(win_tt);
+ ev.SetWinSF(win_sf);
+ ev.SetWinDipole(0, win_ij);
+ ev.SetWinDipole(1, win_k);
+ ev.SetWinParam(0, win_zp);
+ ev.SetWinParam(1, win_m2);
+}
+
+/**
+ * In the GPU version, this would be split into multiple CUDA Kernels
+ */
+void Shower::GenerateSplitting(Event& ev, std::mt19937& gen) {
+ std::uniform_real_distribution<> dis(0., 1.);
+
+ while (ev.GetShowerT() > tC) {
+ SelectWinner(ev, gen);
+
+ if (ev.GetShowerT() > tC) {
+ // Get the Splitting Function
+ int sf = ev.GetWinSF();
+
+ double rand = dis(gen);
+
+ // Generate z
+ double zp = ev.GetWinParam(0);
+ double z = sfGenerateZ(1 - zp, zp, rand, sf);
+
+ double y = ev.GetShowerT() / ev.GetWinParam(1) / z / (1. - z);
+
+ double f = 0.;
+ double g = 0.;
+ double value = 0.;
+ double estimate = 0.;
+
+ // CS Kernel: y can't be 1
+ if (y < 1.) {
+ value = sfValue(z, y, sf);
+ estimate = sfEstimate(z, sf);
+
+ f = (1. - y) * as(ev.GetShowerT()) * value;
+ g = asmax * estimate;
+
+ if (dis(gen) < f / g) {
+ ev.SetShowerZ(z);
+ ev.SetShowerY(y);
+
+ double phi = 2. * M_PI * dis(gen);
+
+ int win_ij = ev.GetWinDipole(0);
+ int win_k = ev.GetWinDipole(1);
+
+ Vec4 moms[3] = {Vec4(), Vec4(), Vec4()};
+ MakeKinematics(moms, z, y, phi, ev.GetParton(win_ij).GetMom(),
+ ev.GetParton(win_k).GetMom());
+
+ int flavs[3];
+ sfToFlavs(sf, flavs);
+
+ int colij[2] = {ev.GetParton(win_ij).GetCol(),
+ ev.GetParton(win_ij).GetAntiCol()};
+
+ int colk[2] = {ev.GetParton(win_k).GetCol(),
+ ev.GetParton(win_k).GetAntiCol()};
+
+ int coli[2] = {0, 0};
+ int colj[2] = {0, 0};
+ MakeColours(ev, coli, colj, flavs, colij, colk, dis(gen));
+
+ // Modify Splitter
+ ev.SetPartonPid(win_ij, flavs[1]);
+ ev.SetPartonMom(win_ij, moms[0]);
+ ev.SetPartonCol(win_ij, coli[0]);
+ ev.SetPartonAntiCol(win_ij, coli[1]);
+
+ // Modify Recoiled Spectator
+ ev.SetPartonMom(win_k, moms[2]);
+
+ // Add Emitted Parton
+ Parton em = Parton(flavs[2], moms[1], colj[0], colj[1]);
+ ev.SetParton(ev.GetSize(), em);
+
+ // Increment Emissions (IMPORTANT)
+ ev.IncrementEmissions();
+
+ return;
+ }
+ }
+ }
+ }
+}
+
+void Shower::Run(Event& ev) {
+ /**
+ * Thread Local
+ * ------------
+ *
+ * We observed significant slowdown due to the rng - this is because the
+ * code was re initialising the RNG. Using thread_local means that it is
+ * initialised once and then reused, giving a massive speed-up!
+ */
+ thread_local std::random_device rd;
+ thread_local std::mt19937 gen(rd());
+
+ // Same seed option. Turn off by commenting when not in use!
+ // Having an if statement if no seed is given would not be a fair comparison
+ // to the GPU, so commented out is better for now. Maybe in the future.
+ // thread_local std::mt19937 gen(seed);
+
+ // Set the starting shower scale
+ double t_max = (ev.GetParton(0).GetMom() + ev.GetParton(1).GetMom()).M2();
+ ev.SetShowerT(t_max);
+
+ // Set the initial number of emissions
+ ev.SetEmissions(0);
+
+ // Set the Colour Counter to 1 (q and qbar)
+ ev.SetShowerC(1);
+
+ while (ev.GetShowerT() > tC) {
+ GenerateSplitting(ev, gen);
+ }
+}
diff --git a/gaps-1.1/cpp-shower/shower/src/splittings.cpp b/gaps-1.1/cpp-shower/shower/src/splittings.cpp
new file mode 100644
index 0000000..83efd48
--- /dev/null
+++ b/gaps-1.1/cpp-shower/shower/src/splittings.cpp
@@ -0,0 +1,240 @@
+#include "shower.h"
+
+/**
+ * Splitting Functions as a function - safer but less sophisticated
+ * ----------------------------------------------------------------
+ *
+ * This is a safer and more straightforward way to implement the splitting
+ * functions for the shower. Although the class-based approach is good for
+ * C++, in CUDA many issues arise that mean that OOP might not always be the
+ * best strategy in coding. As a simpler approach, we will use switch-case
+ * statements to select the correct splitting function.
+ *
+ * We have a LOT of splitting functions:
+ * - Four types (FF, FI, IF, II)
+ * - Three or Four Possible DGLAP Splittings (q->qg, q->gq, g->gg, g->qq)
+ * - Five Flavours of Quarks (d, u, s, c, b) and each of their antiquarks
+ * - At most, In total: 4 * (10 + 10 + 1 + 5) = 104 splitting functions
+ *
+ * So we need to organise ourselves with some kind of structure. As a first
+ * attempt lets use four digit codes to identify the splitting functions:
+ *
+ * - 1st digit: Type of Split-Spect (FF, FI, IF, II) - 0, 1, 2, 3
+ * - 2nd digit: Type of DGLAP (q->qg, q->gq, g->gg, g->qq) - 0, 1, 2, 3
+ * - 3rd digit: Emitter is a Particle or Antiparticle - 0, 1 (gluon is 0)
+ * - 4th digit: Flavor of the Emitter - 1, 2, 3, 4, 5; 0 for gluon
+ *
+ * Examples:
+ * - FF u -> ug = 0 0 0 2
+ * - FF ubar -> ubar g = 0 0 1 2
+ * - FF g -> gg = 0 2 0 0
+ * - FF g -> ccbar = 0 3 0 4
+ *
+ * - FI u -> ug = 1 0 0 2
+ * - FI g -> ccbar = 1 3 0 4
+ *
+ * - IF d -> dg = 2 0 0 1
+ * - IF d -> gd = 2 1 0 1
+ * - IF sbar -> sbar g = 2 0 1 3
+ * - IF g -> uubar = 2 3 0 2
+ *
+ * - II g -> gg = 3 2 0 0
+ * - II g -> bbbar = 3 3 0 5
+ *
+ * This way we can easily identify the splitting functions and select the
+ * correct one using a switch-case statement. This can be used for value,
+ * estimate, integral and generateZ functions.
+ */
+
+double Shower::sfValue(double z, double y, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * (2. / (1. - z * (1. - y)) - (1. + z));
+ break;
+
+ // FF g -> gg
+ case 200:
+ return kCA / 2. * (2. / (1. - z * (1. - y)) - 2. + z * (1. - z));
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return kTR / 2. * (1. - 2. * z * (1. - z));
+ break;
+ }
+ return 0.;
+}
+
+double Shower::sfEstimate(double z, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * 2. / (1. - z);
+ break;
+
+ // FF g -> gg
+ case 200:
+ return kCA / (1. - z);
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return kTR / 2.;
+ break;
+ }
+ return 0.;
+}
+
+double Shower::sfIntegral(double zm, double zp, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * 2. * log((1. - zm) / (1. - zp));
+ break;
+
+ // FF g -> gg
+ case 200:
+ return kCA * log((1. - zm) / (1. - zp));
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return kTR / 2. * (zp - zm);
+ break;
+ }
+ return 0.;
+}
+
+double Shower::sfGenerateZ(double zm, double zp, double rand, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return 1. + (zp - 1.) * pow((1. - zm) / (1. - zp), rand);
+ break;
+
+ // FF g -> gg
+ case 200:
+ return 1. + (zp - 1.) * pow((1. - zm) / (1. - zp), rand);
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return zm + (zp - zm) * rand;
+ break;
+ }
+ return 0.;
+}
+
+bool Shower::validateSplitting(int ij, int sf) {
+ // Obtain the splitting function code
+ // int firstDigit = sf / 1000;
+ int secondDigit = (sf / 100) % 10;
+ int thirdDigit = (sf / 10) % 10;
+ int fourthDigit = sf % 10;
+
+ // Insert FF, FI, IF, II checks here
+ // ---------------------------------
+
+ // Skip if ij is a quark and the sf is not a quark sf (2nd digit), or
+ // if ij is a gluon and the sf is not a gluon sf (2nd digit)
+ if ((ij != 21 && secondDigit >= 2) || (ij == 21 && secondDigit < 2)) {
+ return false;
+ }
+
+ // Skip if ij is a particle and sf is an antiparticle sf (3rd digit), or
+ // if ij is an antiparticle and sf is a particle sf (3rd digit)
+ if ((ij < 0 && thirdDigit == 0) || (ij > 0 && thirdDigit == 1)) {
+ return false;
+ }
+
+ // q->qg case: Skip if the flavor of ij is different from the flavor of the sf
+ // g->gg and g->qq case: No need to check the flavor
+ if ((ij != 21 && abs(ij) != fourthDigit)) {
+ return false;
+ }
+
+ return true;
+}
+
+void Shower::sfToFlavs(int sf, int* flavs) {
+ if (sf < 16) {
+ if (sf < 6) {
+ flavs[0] = sf;
+ flavs[1] = sf;
+ flavs[2] = 21;
+ } else {
+ flavs[0] = -1 * (sf - 10);
+ flavs[1] = -1 * (sf - 10);
+ flavs[2] = 21;
+ }
+ } else if (sf == 200) {
+ flavs[0] = 21;
+ flavs[1] = 21;
+ flavs[2] = 21;
+ } else if (sf < 306) {
+ flavs[0] = 21;
+ flavs[1] = sf - 300;
+ flavs[2] = -1 * (sf - 300);
+ }
+}
diff --git a/gaps-1.1/doc/README.md b/gaps-1.1/doc/README.md
new file mode 100644
index 0000000..7d0d95c
--- /dev/null
+++ b/gaps-1.1/doc/README.md
@@ -0,0 +1,15 @@
+# GAPS - Documentation Home
+
+Welcome to the GAPS Documentation! Here, we go into the computational depths of the GPU algorithm, explaining what everything means and how it all works.
+
+We'll divide the documentation into a few sections:
+
+- [Getting Started](sections/getting-started.md): Similar to [README.md](../README.md), this page covers the setting up and basic usage
+- [Code Structure](sections/code-structure.md): This contains details of where all params and settings are defined
+- [Matrix](sections/matrix-element.md), [Shower](sections/parton-shower.md) and [Observables](sections/observables.md): This contains the descriptions of the different GPU components
+
+Additionally, the 'tutorials' folder contains introductory CUDA codes available online, which we have commented on. (Links to the Original codes are also provided!)
+
+For more information/help, feel free to contact [siddharth.sule@manchester.ac.uk](mailto:siddharth.sule@manchester.ac.uk)
+
+Happy Simulating!
diff --git a/gaps-1.1/doc/extra/acceptveto.csv b/gaps-1.1/doc/extra/acceptveto.csv
new file mode 100644
index 0000000..724d941
--- /dev/null
+++ b/gaps-1.1/doc/extra/acceptveto.csv
@@ -0,0 +1,116 @@
+1, 1000000, 999985, 15
+2, 1000000, 999856, 144
+3, 1000000, 999561, 439
+4, 1000000, 998749, 1251
+5, 1000000, 997321, 2679
+6, 1000000, 994948, 5052
+7, 1000000, 991838, 8162
+8, 1000000, 987655, 12345
+9, 999999, 983085, 16914
+10, 999998, 977434, 22564
+11, 999987, 971937, 28050
+12, 999974, 965649, 34325
+13, 999932, 959482, 40450
+14, 999845, 952889, 46956
+15, 999678, 946216, 53462
+16, 999353, 939089, 60264
+17, 998692, 931821, 66871
+18, 997563, 924423, 73140
+19, 995659, 916316, 79343
+20, 992718, 907665, 85053
+21, 988307, 897644, 90663
+22, 981971, 886133, 95838
+23, 973220, 873161, 100059
+24, 961687, 857094, 104593
+25, 946832, 838767, 108065
+26, 928216, 818203, 110013
+27, 906379, 795303, 111076
+28, 880536, 768942, 111594
+29, 851298, 740511, 110787
+30, 818801, 709177, 109624
+31, 783677, 676693, 106984
+32, 746218, 642369, 103849
+33, 707289, 607062, 100227
+34, 667263, 571330, 95933
+35, 626727, 535600, 91127
+36, 586427, 499773, 86654
+37, 546688, 464755, 81933
+38, 507944, 431426, 76518
+39, 470231, 398306, 71925
+40, 434309, 367053, 67256
+41, 399704, 337120, 62584
+42, 366947, 309257, 57690
+43, 336330, 283062, 53268
+44, 307838, 258481, 49357
+45, 280984, 235541, 45443
+46, 255876, 214290, 41586
+47, 232433, 193874, 38559
+48, 210830, 175847, 34983
+49, 190589, 158917, 31672
+50, 172071, 143034, 29037
+51, 155009, 128631, 26378
+52, 139260, 115518, 23742
+53, 124920, 103625, 21295
+54, 112128, 92998, 19130
+55, 100202, 82590, 17612
+56, 89330, 73908, 15422
+57, 79464, 65601, 13863
+58, 70386, 57856, 12530
+59, 62336, 51247, 11089
+60, 55098, 45301, 9797
+61, 48524, 39831, 8693
+62, 42601, 34924, 7677
+63, 37297, 30527, 6770
+64, 32703, 26773, 5930
+65, 28502, 23266, 5236
+66, 24881, 20268, 4613
+67, 21538, 17617, 3921
+68, 18780, 15283, 3497
+69, 16219, 13168, 3051
+70, 14019, 11381, 2638
+71, 12070, 9853, 2217
+72, 10430, 8525, 1905
+73, 8972, 7303, 1669
+74, 7718, 6289, 1429
+75, 6630, 5392, 1238
+76, 5663, 4567, 1096
+77, 4834, 3977, 857
+78, 4083, 3285, 798
+79, 3463, 2813, 650
+80, 2908, 2331, 577
+81, 2432, 2006, 426
+82, 2025, 1636, 389
+83, 1709, 1386, 323
+84, 1425, 1142, 283
+85, 1214, 988, 226
+86, 1003, 800, 203
+87, 841, 653, 188
+88, 701, 565, 136
+89, 591, 475, 116
+90, 489, 402, 87
+91, 413, 349, 64
+92, 348, 288, 60
+93, 293, 240, 53
+94, 243, 188, 55
+95, 199, 155, 44
+96, 162, 127, 35
+97, 133, 115, 18
+98, 108, 89, 19
+99, 93, 72, 21
+100, 67, 54, 13
+101, 58, 48, 10
+102, 47, 36, 11
+103, 36, 27, 9
+104, 28, 26, 2
+105, 19, 14, 5
+106, 17, 14, 3
+107, 16, 13, 3
+108, 14, 10, 4
+109, 10, 6, 4
+110, 9, 6, 3
+111, 7, 6, 1
+112, 4, 3, 1
+113, 2, 2, 0
+114, 1, 0, 1
+115, 1, 1, 0
+116, 0, 0, 0
\ No newline at end of file
diff --git a/gaps-1.1/doc/extra/acceptveto.py b/gaps-1.1/doc/extra/acceptveto.py
new file mode 100644
index 0000000..8261104
--- /dev/null
+++ b/gaps-1.1/doc/extra/acceptveto.py
@@ -0,0 +1,35 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import matplotlib as mpl
+
+mpl.rc_file("../../test/mplstyleerc")
+
+data = np.genfromtxt('acceptveto.csv', delimiter=',')
+
+data = data[data[:,1] > 0]
+
+x = data[:,0]
+n = data[:,1]
+y1 = data[:,2]
+y2 = data[:,3]
+
+fig, ax = plt.subplots(1, 2, figsize=(9, 3.75))
+
+ax[0].plot(x, y1, label='Vetoed Emissions', color='C3')
+ax[0].plot(x, y2, label='Accepted Emissions', color='C2')
+
+ax[1].plot(x, y1/n, label='Vetoed Emissions', color='C3')
+ax[1].plot(x, y2/n, label='Accepted Emissions', color='C2')
+
+for i in range(2):
+ ax[i].set_xlabel('Number of Events')
+ ax[i].set_ylabel('Emissions')
+ ax[i].legend()
+ ax[i].grid(True)
+
+ax[0].set_title('Accepted and Vetoed Emissions')
+ax[1].set_title('Accepted and Vetoed Emissions, (Rescaled by $N_{Active Events}$)')
+
+fig.tight_layout()
+fig.savefig('acceptveto.pdf')
+fig.savefig('acceptveto.png')
\ No newline at end of file
diff --git a/gaps-1.1/doc/extra/gaps.sh b/gaps-1.1/doc/extra/gaps.sh
new file mode 100755
index 0000000..8ea1629
--- /dev/null
+++ b/gaps-1.1/doc/extra/gaps.sh
@@ -0,0 +1,123 @@
+#------------------------------------------------------------------------------
+#!/bin/bash
+# ------------------------------------------------------------------------------
+
+# GAPS - Run Script
+# -----------------
+# This script is used to compile and run the GAPS and C++ Shower codes. It
+# provides a number of options to control the number of events, the number of
+# cores to use, and the type of run to perform. The run types are:
+# - gaps: Run the GAPS simulation
+# - cpp: Run the C++ Shower simulation
+# - compare: Run both the GAPS and C++ Shower and compare the results
+# - full: Run both the GAPS and C++ Shower for a range of event numbers
+
+
+# ------------------------------------------------------------------------------
+# Default Parameters
+
+events=10000
+energy=91.2
+ncores=1
+
+# Defaults to just the CUDA simulation
+runtype="gaps"
+
+# ------------------------------------------------------------------------------
+# Use optargs to adjust default values and define run
+
+while getopts "n:e:c:r:h" opt; do
+ case $opt in
+ n) events=$OPTARG ;;
+ e) energy=$OPTARG ;;
+ c) ncores=$OPTARG ;;
+ r) runtype=$OPTARG ;;
+ h) echo "Usage: $0 [-n nevents] [-e energy] [-c cores] [-r runtype] [-h help]"
+ echo " -n: set the number of events (default: 10000)"
+ echo " -e: set the CoM energy of the system (default: 91.2)"
+ echo " -c: set the number of cores (default: 1)"
+ echo " -r: set the run type (default: gaps, options: gaps, cpp, compare, full)"
+ echo " -h: display this help message"
+ exit 0
+ ;;
+ esac
+done
+
+# ------------------------------------------------------------------------------
+# Compile Code
+
+compile() {
+ dir=$1
+ echo "Compiling $dir"
+ (cd $dir && mkdir -p build && cd build && cmake .. && make -j $ncores)
+}
+
+if [ "$runtype" = "gaps" ] || [ "$runtype" = "compare" ] || [ "$runtype" = "full" ]; then
+ compile "gaps"
+fi
+
+if [ "$runtype" = "cpp" ] || [ "$runtype" = "compare" ] || [ "$runtype" = "full" ]; then
+ compile "cpp-shower"
+fi
+
+# ------------------------------------------------------------------------------
+# Default: Just run GAPS
+
+if [ "$runtype" = "gaps" ]; then
+ echo "Running GAPS"
+ ./gaps/bin/gaps $events $energy
+fi
+
+# ------------------------------------------------------------------------------
+# Run C++ Shower
+
+if [ "$runtype" = "cpp" ]; then
+ echo "Running C++ Shower"
+ ./cpp-shower/bin/cpp-shower $events $energy
+fi
+
+# ------------------------------------------------------------------------------
+# Compare GAPS and C++ Shower
+
+if [ "$runtype" = "compare" ]; then
+ echo "Running GAPS"
+ ./gaps/bin/gaps $events $energy
+ echo "Running C++ Shower"
+ ./cpp-shower/bin/cpp-shower $events $energy
+fi
+
+# ------------------------------------------------------------------------------
+# Do a full analysis, comparing GAPS and C++ Shower at many values of N
+
+if [ "$runtype" = "full" ]; then
+
+ # Remove previous results and make folder
+ rm -rf results
+ mkdir -p results
+
+ # Clear previous log files
+ rm cpp-time.dat
+ rm gaps-time.dat
+
+ # Run the comparison 100 times, for different number of events
+ neventsarray=(1 2 5 10 20 50 100 200 500 1000 2000 5000 10000 20000 50000 100000 200000 500000 1000000)
+ for n in "${neventsarray[@]}"
+ do
+ # Run and store the output in a log file
+ for i in {1..100}
+ do
+ echo "Running GAPS with $n events"
+ ./gaps/bin/gaps $n $energy
+ echo "Running C++ Shower with $n events"
+ ./cpp-shower/bin/cpp-shower $n $energy
+ done
+ done
+
+ # Move the log files to the results directory
+ mv cpp-time.dat results/
+ mv gaps-time.dat results/
+ mv cpp.yoda results/
+ mv gaps.yoda results/
+
+fi
+
diff --git a/gaps-1.1/doc/extra/results-in-paper.tar.gz b/gaps-1.1/doc/extra/results-in-paper.tar.gz
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diff --git a/gaps-1.1/doc/extra/splittings-test.cuh b/gaps-1.1/doc/extra/splittings-test.cuh
new file mode 100644
index 0000000..c40cd44
--- /dev/null
+++ b/gaps-1.1/doc/extra/splittings-test.cuh
@@ -0,0 +1,100 @@
+#ifndef SPLITTINGS_CUH_
+#define SPLITTINGS_CUH_
+
+// #include "qcd.cuh"
+
+// Splitting functions as a class - Here be dragons!
+
+class Kernel {
+ public:
+ int flavs[3];
+ __device__ virtual double Value(double z, double y) = 0;
+ virtual ~Kernel() {}
+};
+
+class Pqq : public Kernel {
+ public:
+ __device__ double Value(double z, double y) override {
+ return CF * (2. / (1. - z * (1. - y)) - (1. + z));
+ }
+ __device__ static Pqq* getInstance() {
+ __shared__ Pqq instance;
+ return &instance;
+ }
+};
+
+__global__ void initKernels(Kernel** Kernels) {
+ if (threadIdx.x == 0 && blockIdx.x == 0) {
+ // Quarks
+ for (int i = 0; i < 5; i++) {
+ Kernels[i] = Pqq::getInstance();
+ Kernels[i]->flavs[0] = i + 1; // id = i + 1
+ Kernels[i]->flavs[1] = i + 1;
+ Kernels[i]->flavs[2] = 21;
+ }
+
+ // Anti-quarks
+ for (int i = 5; i < 10; i++) {
+ Kernels[i] = Pqq::getInstance();
+ Kernels[i]->flavs[0] = i - 11; // id = i - 11
+ Kernels[i]->flavs[1] = i - 11;
+ Kernels[i]->flavs[2] = 21;
+ }
+ }
+}
+
+// Kernel to perform computations
+__global__ void computeValues(Kernel** Kernels, double* input, double* output,
+ int n) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+ if (idx < n) {
+ double temp = 0;
+ double max = 0;
+ for (int i = 0; i < 10; i++) {
+ temp = Kernels[i]->Value(input[idx], input[idx + 1]);
+ if (temp > max) {
+ max = temp;
+ }
+ }
+ output[idx] = max;
+ }
+}
+
+int main() {
+ Kernel** deviceKernels;
+ cudaMalloc(&deviceKernels, 10 * sizeof(Kernel*));
+
+ // Initialize Kernels on device
+ initKernels<<<1, 1>>>(deviceKernels);
+ cudaDeviceSynchronize(); // Ensure initialization is completed
+
+ // Input data
+ double input[2] = {0.1, 0.2};
+ double* deviceInput;
+ cudaMalloc(&deviceInput, 2 * sizeof(double));
+ cudaMemcpy(deviceInput, input, 2 * sizeof(double), cudaMemcpyHostToDevice);
+
+ // Output data
+ double output[1];
+ double* deviceOutput;
+ cudaMalloc(&deviceOutput, 1 * sizeof(double));
+
+ // Compute values
+ computeValues<<<1, 1>>>(deviceKernels, deviceInput, deviceOutput, 1);
+ cudaDeviceSynchronize();
+
+ // Copy output back to host
+ cudaMemcpy(output, deviceOutput, 1 * sizeof(double), cudaMemcpyDeviceToHost);
+
+ // Print output
+ printf("Output: %f\n", output[0]);
+
+ // Free memory
+ cudaFree(deviceKernels);
+ cudaFree(deviceInput);
+ cudaFree(deviceOutput);
+
+ return 0;
+}
+
+#endif // SPLITTINGS_CUH_
diff --git a/gaps-1.1/doc/extra/versioncontrol.py b/gaps-1.1/doc/extra/versioncontrol.py
new file mode 100644
index 0000000..d04688e
--- /dev/null
+++ b/gaps-1.1/doc/extra/versioncontrol.py
@@ -0,0 +1,36 @@
+import numpy as np
+import pandas as pd
+import matplotlib.pyplot as plt
+# from scipy.stats import iqr
+
+# Load the data
+cpp0 = pd.read_csv('cpp-time-0.dat')
+cud0 = pd.read_csv('gaps-time-0.dat')
+cpp1 = pd.read_csv('cpp-time-1.dat')
+cud1 = pd.read_csv('gaps-time-1.dat')
+
+# Name the Columns Matrix, Shower, Observables, and Total
+cpp0.columns = ['Matrix', 'Shower', 'Observables', 'Total']
+cud0.columns = ['Matrix', 'Shower', 'Observables', 'Total']
+cpp1.columns = ['Matrix', 'Shower', 'Observables', 'Total']
+cud1.columns = ['Matrix', 'Shower', 'Observables', 'Total']
+
+# Get the median speedup between cpp and cud for the two versions
+speedup0 = cpp0.median() / cud0.median()
+speedup1 = cpp1.median() / cud1.median()
+
+# Get the median speedup between the two versions for cpp and cud
+speedup_cpp = cpp0.median() / cpp1.median() * 100
+speedup_cud = cud0.median() / cud1.median() * 100
+
+# Concatenate all results
+speedup0 = pd.concat([speedup0, speedup1], axis=1)
+speedup1 = pd.concat([speedup_cpp, speedup_cud], axis=1)
+speedup = pd.concat([speedup0, speedup1], axis=1)
+
+# Name the columns
+speedup.columns = ['Old Speedup', 'New Speedup',
+ 'Cpp Old/New (%)', 'CUDA Old/New (%)']
+
+# Print the results to 3 decimal places
+print(speedup.round(3))
diff --git a/gaps-1.1/doc/sections/code-structure.md b/gaps-1.1/doc/sections/code-structure.md
new file mode 100644
index 0000000..8ceac22
--- /dev/null
+++ b/gaps-1.1/doc/sections/code-structure.md
@@ -0,0 +1,24 @@
+# Code Structure
+
+> **Version 1.0.0**: All code in `include` and `src` to be split by component later
+
+While the focus of the paper is the parton shower, there are several necessary components that are exciting in their own right. Below is a figure showing the structure of the classes.
+
+**Note**: The code structure is identical for the C++ and CUDA generators. We want to demonstrate that one can get a speedup without altering the code much.
+
+
+
+Let's go through the Classes:
+
+- Base: All the necessary definitions and settings are provided here. For now, you can adjust the Centre of Mass Energy and Cutoff and the physical contents here.
+
+- Vec4 contains the definition of the four vectors—the primary tool for all our kinematics. This is one of many header-only files! This is because the code inside a .cu file might not be accessible to another .cu file (weird, I know; it could be me struggling to do things the C++ way, though!).
+
+- Parton and Event: This is the backbone of the Generator. Unlike the original tutorial, we choose to store all and any properties of the code in these objects. The parton class holds the ID, momentum and colour of the parton. The event class stores an array of partons (it has to be static because CUDA won't allow dynamic arrays/unsuitable for speed). It also stores several parameters like the differential cross section and observable values and acts as a temporary store for shower parameters. It's good to have everything in there rather than in separate arrays!
+
+- Histogram: This has a class for Bins and Histograms. Fun feature: CUDA allows you to do Atomic operations, i.e., I can bin all my events at the same time! It makes things unbelievably fast!
+
+- Physics Classes
+ - Matrix: Computes the matrix element for $ee \to qq$
+ - Shower: Runs the final state shower
+ - Observable: Calculates the observable and bins the Histogram
diff --git a/gaps-1.1/doc/sections/getting-started.md b/gaps-1.1/doc/sections/getting-started.md
new file mode 100644
index 0000000..01fd128
--- /dev/null
+++ b/gaps-1.1/doc/sections/getting-started.md
@@ -0,0 +1,65 @@
+# Getting Started
+
+The code simulates just one experiment, so this should take a little time.
+
+The file `rungaps` can be used to build and operate both the C++ and CUDA generators. It has been coded with all the routines (including the one for paper results).
+
+To run GAPS, you will need the following:
+
+- An NVIDIA V100, A100 or above: These are the only GPUs with the required features
+- CMake: To create the makefile
+- NVCC and GCC: to build the two generators
+- Python: To make plots of the results
+
+Simply execute the command:
+
+```bash
+./rungaps
+```
+
+NB: If you get a permission denied error, please run ```chmod +x rungaps```.
+
+This should build the program and generate 10000 events on the GPU. The output should look something like this:
+
+```bash
+-------------------------------------------------
+| GAPS: a GPU-Amplified Parton Shower |
+-------------------------------------------------
+Process: e+ e- --> q qbar
+Number of Events: 10000
+
+Initialising...
+Generating Matrix Elements...
+Showering Partons...
+Analysing Events...
+
+EVENT GENERATION COMPLETE
+
+ME Time: 0.000666688 s
+Sh Time: 0.0235208 s
+An Time: 0.00896093 s
+
+Total Time: 0.0331484 s
+
+Histograms written to gaps.yoda
+Timing data written to gaps-time.dat
+------------------------------------------------
+```
+
+Then you have free reign over what you need. Like [README.md](../../README.md), here are all the possible ways you can run gaps:
+
+```bash
+# Simulate different numbers of events and build the code using multiple CPU cores
+./rungaps -n nevents -c ncores
+
+# Run C++ Simulation
+./rungaps -n nevents -c ncores -r cpp
+
+# Run the same number of events on C++ and CUDA and compare times
+./rungaps -n nevents -c ncores -r compare
+
+# Run a multitude of number of events 100 times, as seen in the paper
+./rungaps -c ncores -r full
+```
+
+And that's all there is to it! In upcoming versions, we'll add features like increasing the number of events, different centres of mass energies, new analyses, and potentially some matching!
diff --git a/gaps-1.1/doc/sections/matrix-element.md b/gaps-1.1/doc/sections/matrix-element.md
new file mode 100644
index 0000000..78fad3e
--- /dev/null
+++ b/gaps-1.1/doc/sections/matrix-element.md
@@ -0,0 +1,13 @@
+# Matrix Element Calculation
+
+This part of the code resembles the classic example of axpy (a*x + p = y). The matrix element is in charge of doing some calculations of pre-computed matrix elements and applying random numbers to create authentic events.
+
+Here are the steps involved:
+
+- The code generates a random number for the flavour of the quark-antiquark pair and for the angles theta and Phi.
+
+- Then it does an analytical calculation, which might be complicated for us but is simple for the device as it is designed for this. This calculation gives the matrix element and the differential cross-section.
+
+- It generates the momenta of the e+e- pair and the quark-antiquark pair and adds all of this information to the event variable
+
+And that's all! The shower and observables sections are a lot more complicated. For more sophisticated calculations, look at the PEPPER [2311.06198](https://arxiv.org/abs/2311.06198.pdf) and MG4GPU [2303.18244](https://arxiv.org/abs/2303.18244) projects!
diff --git a/gaps-1.1/doc/sections/observables.md b/gaps-1.1/doc/sections/observables.md
new file mode 100644
index 0000000..7548685
--- /dev/null
+++ b/gaps-1.1/doc/sections/observables.md
@@ -0,0 +1,15 @@
+# Calculating Observables and Histogramming
+
+After the parton shower stage, we are left with multiple events of different sizes (meaning different numbers of partons in the final state). Like the shower, we write our code to treat each event independently and use the as-prescribed algorithm to calculate the observables.
+
+The observables that are currently available are:
+
+- Durham Jet Rates: These are the 2->3, 3->4, 4->5 and 5->6 Jet rates on a log scale. These tell us how many jets a particular event possibly has, along with intricate details like the transverse momentum spectra [Phys. Lett. B 269 (1991)](https://inspirehep.net/literature/317695)
+
+- Thrust: This tells us how pencil-like or spherical a final state is [Phys. Rev. Lett. 39 (1977)](https://link.aps.org/doi/10.1103/PhysRevLett.39.1587). There are two possible algorithms for calculating thrust: one that is more time-consuming but consistent for all event shapes and a simplified, faster algorithm that incorrectly calculates thrust for highly spherical events [(Reported in Pythia)](https://pythia.org/latest-manual/EventAnalysis.html). We used the more time-consuming algorithm, first seen in [Z. Physik C 1, 61 (1979)](https://link.springer.com/article/10.1007/BF01450381)
+
+- Jet Masses and Broadenings: These split the momenta of the partons with and against the thrust direction and yield properties of each hemisphere. [Phys. Lett. B 272 (1991)](https://www.sciencedirect.com/science/article/pii/037026939191845M) [Phys. Lett. B. 295 (1992](https://www.sciencedirect.com/science/article/pii/037026939291565Q)
+
+- **New** Dalitz Plot: This studies the emitter and spectator momentum in a single emission event [Phil. Mag. 44 (1953)](https://www.tandfonline.com/doi/abs/10.1080/14786441008520365) (OFF by default though, as the writing time dominates the GPU analysis time!)
+
+One exciting thing that happens during the stage is binning. CUDA has a feature called atomic operations, where a variable can be operated on simultaneously. In our case, this means that once an observable is calculated for all events, every value of that observable is binned at once! (Pretty cool, right?)
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diff --git a/gaps-1.1/doc/sections/parton-shower.md b/gaps-1.1/doc/sections/parton-shower.md
new file mode 100644
index 0000000..a5fc8c4
--- /dev/null
+++ b/gaps-1.1/doc/sections/parton-shower.md
@@ -0,0 +1,21 @@
+# Parton Shower
+
+Now I won't really go too much in depth with this page, there's a whole paper on it... you're most likely here after reading it, too...
+
+Either way, here is a breakdown: Due to Independent Thread Scheduling [1](https://developer.nvidia.com/blog/inside-volta/), we have access to for and while loops. This means that we can adapt our original veto algorithm:
+
+
+
+Into something like this:
+
+
+
+The GPU handles each event independently and works regardless of its size. As a security measure, the "Sync GPU and Check Everything" function is run after each step so that there are no spills. Furthermore, when a thread encounters a veto event, it can skip it.
+
+Just a few things to point out that may not have made it to the paper:
+
+- Max number of Partons: It is much faster to have a static event size than a dynamic size, as most of the time is used to manage memory. So we set the maximum number of partons to about 30 (we usually see at most 17-18 partons from the shower). While we are in the LEP phase, we shouldn't have a problem, but once we soon come to LHC, we'll have to be careful of this
+
+- Splitting Kernels as a "shared" object: I have had a LOT of trouble making the splitting kernel an object that can be shared across the device without making a copy. So, instead, as a first solution, we manually sample through all kernels and have the relevant functions written into the Cuda kernel. One possible improvement to this could be a code system where the code determines the splitting, the case (FF, FI, IF, and II) and the relevant partons (see v1.1.0)
+
+Besides that, the code is thoroughly commented on so a potential developer can find it helpful.
diff --git a/gaps-1.1/doc/sections/structure.png b/gaps-1.1/doc/sections/structure.png
new file mode 100644
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diff --git a/gaps-1.1/doc/tutorials/basicExample.cu b/gaps-1.1/doc/tutorials/basicExample.cu
new file mode 100644
index 0000000..8187262
--- /dev/null
+++ b/gaps-1.1/doc/tutorials/basicExample.cu
@@ -0,0 +1,32 @@
+int main(void) {
+ // DOES NOT RUN - JUST TO SHOW THE STRUCTURE OF A BASIC CUDA PROGRAM
+
+ // Declare Variables
+ // h_ = on host, d_ = on device
+ int *h_c, d_c;
+
+ // Allocate memory on the device
+ // cudaMalloc( Location of the Memory, Size of the Memory )
+ cudaMalloc((void **)&d_c, sizeof(int));
+
+ // If h_c initialised, copy info from h_c to d_c
+ // cudaMemcpy( destination, host, numBytes, Direction )
+ cudaMemcpy(d_c, h_c, sizeof(int) cudaMemcpyHostToDevice);
+
+ // Kernel Configuration Parameters
+ dim3 grid_size(1);
+ dim3 block_size(1);
+
+ // Launch the Kernel
+ kernel<<<grid_size, block_size>>>(...);
+
+ // Copy data back to host
+ // cudaMemcpy( destination, device, numBytes, Direction )
+ cudaMemcpy(h_c, d_c, sizeof(int), cudaMemcpyDeviceToHost);
+
+ // Deallocate Memory
+ cudaFree(d_c);
+ free(h_c);
+
+ return 0;
+}
diff --git a/gaps-1.1/doc/tutorials/parallelFor.cu b/gaps-1.1/doc/tutorials/parallelFor.cu
new file mode 100644
index 0000000..f29a3a3
--- /dev/null
+++ b/gaps-1.1/doc/tutorials/parallelFor.cu
@@ -0,0 +1,106 @@
+// Adapted from https://github.com/olcf-tutorials/vector_addition_cuda
+#include <stdio.h>
+
+// Large array, 2^20
+#define N 1048576
+
+// Kernel that adds the element
+// Global = Called on Host, Ran on Device
+__global__ void add_vectors(double *a, double *b, double *out) {
+ /*
+ Indexing within Grids
+ ---------------------
+
+ Can use dim3 variables to get the index of a block/thread,
+ as well as the size of a grid/block
+
+ dim3 blockIdx - unique
+ dim3 threadIdx - unique in own block
+ dim3 gridDim - size of grid
+ dim3 blockDim - size of block
+
+ A useful indexing command is
+ blockDim.x * blockIdx.x + threadIdx.x
+ - blockDim.x * blockIdx.x allows going from 0 to block_size one at a time
+ - + ThreadIdx.x allows acces to threads in a block
+ */
+
+ // Shared Memory Example
+ /*
+ __shared__ int shared_array[N];
+ shared_array[i] = in[i] // Each Thread writes to one element of s_a
+ */
+
+ int id = blockDim.x * blockIdx.x + threadIdx.x;
+ if (id < N) out[id] = a[id] + b[id];
+}
+
+// Main Program
+int main() {
+ // Time the execution
+ cudaEvent_t start, stop;
+ float time;
+ cudaEventCreate(&start);
+ cudaEventCreate(&stop);
+
+ // Number of bytes to allocate for N Doubles
+ size_t bytes = N * sizeof(double);
+
+ // Allocate memory for arrays A, B and Out on host
+ // malloc casts to void*, use (double*) to match the pointers
+ double *h_a = (double *)malloc(bytes);
+ double *h_b = (double *)malloc(bytes);
+ double *h_out = (double *)malloc(bytes);
+
+ // Allocate memory for arrays A, B and Out on Device
+ double *d_a, *d_b, *d_out;
+ cudaMalloc(&d_a, bytes);
+ cudaMalloc(&d_b, bytes);
+ cudaMalloc(&d_out, bytes);
+
+ // Fill A and B
+ for (int i = 0; i < N; i++) {
+ h_a[i] = 1.;
+ h_b[i] = 2.;
+ }
+
+ // Copy data from host to device
+ cudaMemcpy(d_a, h_a, bytes, cudaMemcpyHostToDevice);
+ cudaMemcpy(d_b, h_b, bytes, cudaMemcpyHostToDevice);
+
+ // Grid and Block Size
+ int block_size = 256;
+ int grid_size = ceil(float(N) / block_size);
+
+ // Start Timer
+ cudaEventRecord(start, 0);
+
+ // Launch kernel
+ add_vectors<<<grid_size, block_size>>>(d_a, d_b, d_out);
+
+ // End Timer
+ cudaEventRecord(stop, 0);
+ cudaEventSynchronize(stop);
+
+ // Get Elapsed Time
+ cudaEventElapsedTime(&time, start, stop);
+ cudaEventDestroy(start);
+ cudaEventDestroy(stop);
+
+ // Copy data from device to host
+ cudaMemcpy(h_out, d_out, bytes, cudaMemcpyDeviceToHost);
+
+ // Free Memory
+ free(h_a);
+ free(h_b);
+ free(h_out);
+ cudaFree(d_a);
+ cudaFree(d_b);
+ cudaFree(d_out);
+
+ // Print if everything works
+ printf("\n---------------------------\n");
+ printf("SUCCESS\n");
+ printf("%d\n", time);
+ printf("---------------------------\n");
+}
diff --git a/gaps-1.1/doc/tutorials/saxpy.cu b/gaps-1.1/doc/tutorials/saxpy.cu
new file mode 100644
index 0000000..1aa2fba
--- /dev/null
+++ b/gaps-1.1/doc/tutorials/saxpy.cu
@@ -0,0 +1,45 @@
+// Adapted From
+// https://developer.nvidia.com/blog/easy-introduction-cuda-c-and-c/
+#include <stdio.h>
+
+// Large array, 2^20
+#define N 1048576
+
+// Kernel function to add the elements of two arrays
+__global__ void saxpy(int n, float a, float *x, float *y) {
+ int i = blockIdx.x * blockDim.x + threadIdx.x;
+ if (i < n) y[i] = a * x[i] + y[i];
+}
+
+int main(void) {
+ // Host input vectors
+ float *h_x, *h_y, *d_x, *d_y;
+ h_x = (float *)malloc(N * sizeof(float));
+ h_y = (float *)malloc(N * sizeof(float));
+
+ // Device input vectors
+ cudaMalloc(&d_x, N * sizeof(float));
+ cudaMalloc(&d_y, N * sizeof(float));
+
+ // Initialize x and y arrays on the host
+ for (int i = 0; i < N; i++) {
+ h_x[i] = 1.0f;
+ h_y[i] = 2.0f;
+ }
+
+ // Copy data from host to device
+ cudaMemcpy(d_x, x, N * sizeof(float), cudaMemcpyHostToDevice);
+ cudaMemcpy(d_y, y, N * sizeof(float), cudaMemcpyHostToDevice);
+
+ // Perform SAXPY on 1M elements
+ saxpy<<<(N + 255) / 256, 256>>>(N, 2.0f, d_x, d_y);
+
+ // Copy data from device to host
+ cudaMemcpy(y, d_y, N * sizeof(float), cudaMemcpyDeviceToHost);
+
+ // Cleanup
+ cudaFree(d_x);
+ cudaFree(d_y);
+ free(h_x);
+ free(h_y);
+}
diff --git a/gaps-1.1/gaps/.vscode/settings.json b/gaps-1.1/gaps/.vscode/settings.json
new file mode 100644
index 0000000..23fd35f
--- /dev/null
+++ b/gaps-1.1/gaps/.vscode/settings.json
@@ -0,0 +1,3 @@
+{
+ "editor.formatOnSave": true
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/CMakeLists.txt b/gaps-1.1/gaps/CMakeLists.txt
new file mode 100644
index 0000000..0a70137
--- /dev/null
+++ b/gaps-1.1/gaps/CMakeLists.txt
@@ -0,0 +1,43 @@
+# Minimum required version of CMake
+cmake_minimum_required(VERSION 3.10)
+
+# Enable CUDA
+enable_language(CUDA)
+
+# Project name and languages used
+project(gaps LANGUAGES CXX CUDA)
+
+# Set C++ standard
+set(CMAKE_CXX_STANDARD 17)
+set(CMAKE_CXX_STANDARD_REQUIRED ON)
+
+# Add the --expt-extended-lambda flag to the CUDA flags
+set(CMAKE_CUDA_FLAGS "${CMAKE_CUDA_FLAGS} --expt-extended-lambda")
+
+# List of subdirectories
+set(SUBDIRS base matrix shower observables)
+
+# Include the directories for the headers
+foreach(subdir ${SUBDIRS})
+ include_directories(${subdir}/include)
+ add_subdirectory(${subdir})
+endforeach()
+
+# Set the directory for the executable
+set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_SOURCE_DIR}/bin)
+
+# Add executable
+add_executable(gaps main.cu)
+
+# Link the libraries from the subdirectories
+target_link_libraries(gaps base matrix shower observables)
+
+# Set CUDA architecture to 7.0 for Tesla V100
+set_property(TARGET gaps PROPERTY CUDA_ARCHITECTURES 70)
+
+# Set CUDA properties
+set_target_properties(
+ gaps
+ PROPERTIES
+ CUDA_SEPARABLE_COMPILATION ON
+)
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/CMakeLists.txt b/gaps-1.1/gaps/base/CMakeLists.txt
new file mode 100644
index 0000000..8f87bb3
--- /dev/null
+++ b/gaps-1.1/gaps/base/CMakeLists.txt
@@ -0,0 +1,18 @@
+cmake_minimum_required(VERSION 3.10)
+project(base)
+
+# Enable CUDA
+enable_language(CUDA)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include)
+file(GLOB SOURCES "src/*.cu")
+
+# Set all source files to compile with CUDA
+set_source_files_properties(${SOURCES} PROPERTIES LANGUAGE CUDA)
+
+add_library(base ${SOURCES})
+
+# Set CUDA architecture to 7.0 for Tesla V100
+set_property(TARGET base PROPERTY CUDA_ARCHITECTURES 70)
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/base.cuh b/gaps-1.1/gaps/base/include/base.cuh
new file mode 100644
index 0000000..cdee987
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/base.cuh
@@ -0,0 +1,69 @@
+#ifndef BASE_CUH_
+#define BASE_CUH_
+
+/**
+ * The Base Class
+ * --------------
+ *
+ * This file contains the neccessary includes and definitions that are used
+ * throughout the program. This includes CUDA Libraries, Thrust Libraries,
+ * C++ Libraries, and some global variables. Make changes here if you want to
+ * change the global settings of the program!
+ *
+ * (but also be careful with what you change, as it may break the program...)
+ */
+
+// -----------------------------------------------------------------------------
+// Import Libraries
+
+// CUDA Libraries
+#include <cuda_runtime.h> // CUDA Runtime
+#include <curand_kernel.h> // CURAND Library
+
+// Thrust Libraries
+#include <thrust/device_vector.h> // ALL EVENTS ON DEVICE
+
+// C++ Libraries (Genreally Used)
+#include <cmath> // Math Functions
+#include <cstdlib> // SYS EXIT Command
+#include <fstream> // File I/O
+#include <iostream> // Standard I/O
+
+// -----------------------------------------------------------------------------
+// Program Settings - CAREFUL WITH CHANGES
+
+// Debugging - only debug levels 0 and 1 (true or false)
+const bool debug = false;
+
+// Max Number of Partons, set to save memory
+// at 10^6 Events:
+// 50 works for all, but observables calc is slow
+// 100 works for ME + PS, but not for Observables
+// 30 is more than enough to do e+e- at 91.2 GeV
+const int maxPartons = 30;
+
+// LEP 91.2 settings
+const double mz = 91.1876;
+const double asmz = 0.118;
+
+// Cutoff and its value of alpha_s (pre-calculated)
+const double tC = 1.;
+const double asmax = 0.440886;
+
+// Number of Histogram Bins: Common for all Plots (for now...)
+const int nBins = 100;
+const int nBins2D = 100; // NxN Grid
+
+// Maximum Number of Events, beyond which program will be done in batches
+const int maxEvents = 1000000;
+
+// -----------------------------------------------------------------------------
+// Common Functions
+
+// Sync Device and Check for CUDA Errors
+void syncGPUAndCheck(const char *operation);
+
+// Debugging Function - Available in Kernels too!
+__host__ __device__ void DEBUG_MSG(const char *msg);
+
+#endif // BASE_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/event.cuh b/gaps-1.1/gaps/base/include/event.cuh
new file mode 100644
index 0000000..6c4d398
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/event.cuh
@@ -0,0 +1,242 @@
+#ifndef EVENT_CUH_
+#define EVENT_CUH_
+
+#include "parton.cuh"
+
+/**
+ * The Event Class
+ * ---------------
+ *
+ * This is the backbone of the program. An event contains the differential cross
+ * section calculated from the ME, the hard partons and the showered partons.
+ * It also contains the shower parameters which are constantly updated during
+ * the showering process. The event also contains the analysis variables, which
+ * are calculated after the showering process is complete.
+ */
+
+class Event {
+ private:
+ // Temporary Solution - Allows a limited number of partons
+ // Better Solution would be to use a dynamic array, but not GPU friendly
+ Parton partons[maxPartons];
+
+ // ME Params -----------------------------------------------------------------
+
+ double dxs = 0.; // Differential Cross Section
+ int nHard = 0; // Number of Hard Partons
+ // int nInitial = 0; // Number of Initial Partons (Prep for ISR)
+ // int nNonParton = 0; // Number of Non-Parton Partons (Prep for ISR)
+
+ // Shower Params -------------------------------------------------------------
+
+ int nEmission = 0; // Number of Emissions
+ double showerT = 0.; // Evolution and Splitting Variables
+ double showerZ = 0.;
+ double showerY = 0.;
+ int showerC = 0; // Colour Counter
+
+ // Selecting Winner Emission - Defaults Values which represent no winner
+ int winSF = 16;
+ int winDipole[2] = {-1, -1};
+ double winParams[2] = {0., 0.};
+
+ // End Shower Flag
+ bool endShower = false; // Shower End Flag - used if T < 1 GeV
+
+ // Analysis Variables --------------------------------------------------------
+
+ // Event Validity - Momentum and Colour Conservation
+ bool validity = true;
+
+ // Jet Rates using the Durham Algorithm
+ double y23 = -50., y34 = -50., y45 = -50., y56 = -50.;
+
+ // Event Shape Variables - Thrust, Jet Masses and Broadenings
+ double thr = -50., hjm = -50., ljm = -50., wjb = -50., njb = -50.;
+ Vec4 t_axis = Vec4();
+
+ // Dalitz Plot
+ double dalitz[2] = {-50., -50.};
+
+ public:
+ // Constructor ---------------------------------------------------------------
+
+ // Empty, so that we can build our ME, PS onto it
+ __device__ Event() {}
+
+ // Getters -------------------------------------------------------------------
+
+ // Access Partons in the Event
+ __device__ Parton GetParton(int i) const { return partons[i]; }
+ __device__ int GetSize() const { return nHard + nEmission; }
+ __device__ int GetHard() const { return nHard; }
+ __device__ int GetEmissions() const { return nEmission; }
+ __device__ int GetPartonSize() const {
+ // -2: e+, e-
+ return (nHard + nEmission) - 2;
+ }
+
+ // Get Differential Cross Section
+ __device__ double GetDxs() const { return dxs; }
+
+ // Get Shower Params
+ __device__ double GetShowerT() const { return showerT; }
+ __device__ double GetShowerZ() const { return showerZ; }
+ __device__ double GetShowerY() const { return showerY; }
+ __device__ int GetShowerC() const { return showerC; }
+
+ __device__ int GetWinSF() const { return winSF; }
+ __device__ int GetWinDipole(int i) const { return winDipole[i]; }
+ __device__ double GetWinParam(int i) const { return winParams[i]; }
+
+ __device__ bool GetEndShower() const { return endShower; }
+
+ // Analysis Getters
+ __device__ bool GetValidity() const { return validity; }
+
+ __device__ double GetY23() const { return y23; }
+ __device__ double GetY34() const { return y34; }
+ __device__ double GetY45() const { return y45; }
+ __device__ double GetY56() const { return y56; }
+ __device__ double GetThr() const { return thr; }
+ __device__ double GetHJM() const { return hjm; }
+ __device__ double GetLJM() const { return ljm; }
+ __device__ double GetWJB() const { return wjb; }
+ __device__ double GetNJB() const { return njb; }
+
+ __device__ Vec4 GetTAxis() const { return t_axis; }
+
+ __device__ double GetDalitz(int i) const { return dalitz[i]; }
+
+ // Setters -------------------------------------------------------------------
+
+ // Add / Replace Parton
+ __device__ void SetParton(int i, Parton parton) { partons[i] = parton; }
+
+ // Set Parton Data
+ __device__ void SetPartonPid(int i, int pid) { partons[i].SetPid(pid); }
+ __device__ void SetPartonMom(int i, Vec4 mom) { partons[i].SetMom(mom); }
+ __device__ void SetPartonCol(int i, int col) { partons[i].SetCol(col); }
+ __device__ void SetPartonAntiCol(int i, int anticol) {
+ partons[i].SetAntiCol(anticol);
+ }
+
+ // Set Differential Cross Section and nHard
+ __device__ void SetDxs(double dxs) { this->dxs = dxs; }
+ __device__ void SetHard(int nHard) { this->nHard = nHard; }
+
+ // Adjust and Increment Number of Emissions
+ __device__ void SetEmissions(int nEmission) { this->nEmission = nEmission; }
+ __device__ void IncrementEmissions() { nEmission++; }
+
+ // Set Shower Params
+ __device__ void SetShowerT(double showerT) { this->showerT = showerT; }
+ __device__ void SetShowerZ(double showerZ) { this->showerZ = showerZ; }
+ __device__ void SetShowerY(double showerY) { this->showerY = showerY; }
+
+ __device__ void SetShowerC(int showerC) { this->showerC = showerC; }
+ __device__ void IncrementShowerC() { showerC++; }
+
+ __device__ void SetWinSF(int winSF) { this->winSF = winSF; }
+ __device__ void SetWinDipole(int i, int winParton) {
+ this->winDipole[i] = winParton;
+ }
+ __device__ void SetWinParam(int i, double winParam) {
+ this->winParams[i] = winParam;
+ }
+
+ __device__ void SetEndShower(bool endShower) { this->endShower = endShower; }
+
+ // Set Analysis Variables
+ __device__ void SetValidity(bool validity) { this->validity = validity; }
+
+ __device__ void SetY23(double y23) { this->y23 = y23; }
+ __device__ void SetY34(double y34) { this->y34 = y34; }
+ __device__ void SetY45(double y45) { this->y45 = y45; }
+ __device__ void SetY56(double y56) { this->y56 = y56; }
+ __device__ void SetThr(double thr) { this->thr = thr; }
+ __device__ void SetHJM(double hjm) { this->hjm = hjm; }
+ __device__ void SetLJM(double ljm) { this->ljm = ljm; }
+ __device__ void SetWJB(double wjb) { this->wjb = wjb; }
+ __device__ void SetNJB(double njb) { this->njb = njb; }
+
+ __device__ void SetTAxis(Vec4 t_axis) { this->t_axis = t_axis; }
+
+ __device__ void SetDalitz(double x1, double x2) {
+ dalitz[0] = x1;
+ dalitz[1] = x2;
+ }
+
+ // Member Functions ----------------------------------------------------------
+
+ // Validate the Event - Check Momentum and Colour Conservation
+ __device__ bool Validate() {
+ Vec4 psum = Vec4();
+
+ int csum[100] = {0};
+
+ for (int i = 0; i < GetSize(); i++) {
+ Parton p = GetParton(i);
+
+ Vec4 pmom = p.GetMom();
+ int pcol = p.GetCol();
+ int pAntiCol = p.GetAntiCol();
+
+ psum = psum + pmom;
+
+ if (pcol > 0) {
+ csum[pcol] += 1;
+ }
+
+ if (pAntiCol > 0) {
+ csum[pAntiCol] -= 1;
+ }
+ }
+
+ bool pcheck = (psum[0] < 1e-12 && psum[1] < 1e-12 && psum[2] < 1e-12 &&
+ psum[3] < 1e-12);
+
+ /* // No need to print for GPU, it counts number of invalid events
+ if (!pcheck) {
+ printf("%f %f %f %f\n", psum[0], psum[1], psum[2], psum[3]);
+ }
+ */
+
+ bool ccheck = true;
+ for (int i = 0; i < maxPartons - 1; i++) {
+ if (csum[i] != 0) {
+ // printf("Colour %d is not conserved.\n", i);
+ ccheck = false;
+ break;
+ }
+ }
+
+ return pcheck && ccheck;
+ }
+
+ __device__ void print_info() const {
+ printf("Event Information:\n");
+ printf("Dxs: %f\n", GetDxs());
+ printf("Number of Emissions: %d\n", GetEmissions());
+ printf("Shower Parameters:\n");
+ printf(" T: %f\n", GetShowerT());
+ printf(" Y: %f\n", GetShowerY());
+ printf(" Z: %f\n", GetShowerZ());
+ printf(" C: %d\n", GetShowerC());
+ printf("Shower Winner:\n");
+ printf(" Kernel Number: %d\n", GetWinSF());
+ printf(" Partons: [%d, %d]\n", GetWinDipole(0), GetWinDipole(1));
+ printf(" Params: [%f, %f]\n", GetWinParam(0), GetWinParam(1));
+ printf("Partons:\n");
+ for (int i = 0; i < GetSize(); i++) {
+ Parton parton = GetParton(i);
+ printf(" Parton %d:\n", i);
+ printf(" Pid: %d\n", parton.GetPid());
+ printf(" Mom: %f\n", parton.GetMom().P());
+ printf(" Col: %d\n", parton.GetCol());
+ printf(" AntiCol: %d\n", parton.GetAntiCol());
+ }
+ }
+};
+
+#endif // EVENT_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/histogram.cuh b/gaps-1.1/gaps/base/include/histogram.cuh
new file mode 100644
index 0000000..2fe9540
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/histogram.cuh
@@ -0,0 +1,259 @@
+#ifndef HISTOGRAM_CUH_
+#define HISTOGRAM_CUH_
+
+#include "base.cuh"
+
+/**
+ * Binning and Histogramming
+ * -------------------------
+ *
+ * This file contains tools needed for binning and histogramming data. The data
+ * is binned and then stored as a Yoda file[1]
+ *
+ * Yoda: https://yoda.hepforge.org/
+ */
+
+class Bin1D {
+ public:
+ double xmin, xmax, w, w2, wx, wx2, n;
+
+ __host__ __device__ Bin1D(double xmin = 0., double xmax = 0.)
+ : xmin(xmin), xmax(xmax), w(0.), w2(0.), wx(0.), wx2(0.), n(0.) {}
+
+ __host__ __device__ double Width() const { return xmax - xmin; }
+
+ __device__ void AtomicFill(double x, double weight) {
+ atomicAdd(&w, weight);
+ atomicAdd(&w2, weight * weight);
+ atomicAdd(&wx, weight * x);
+ atomicAdd(&wx2, weight * weight * x);
+ atomicAdd(&n, 1.);
+ }
+
+ __host__ __device__ void ScaleW(double scale) {
+ w *= scale;
+ w2 *= scale * scale;
+ wx *= scale;
+ wx2 *= scale * scale;
+ }
+};
+
+class Bin2D {
+ public:
+ double xmin, xmax, ymin, ymax, w, w2, wx, wx2, wy, wy2, wxy, n;
+
+ public:
+ __host__ __device__ Bin2D(double xmin = 0., double xmax = 0.,
+ double ymin = 0., double ymax = 0.)
+ : xmin(xmin),
+ xmax(xmax),
+ ymin(ymin),
+ ymax(ymax),
+ w(0.),
+ w2(0.),
+ wx(0.),
+ wx2(0.),
+ wy(0.),
+ wy2(0.),
+ wxy(0.),
+ n(0.) {}
+
+ __host__ __device__ double WidthX() const { return xmax - xmin; }
+ __host__ __device__ double WidthY() const { return ymax - ymin; }
+
+ __device__ void AtomicFill(double x, double y, double weight) {
+ atomicAdd(&w, weight);
+ atomicAdd(&w2, weight * weight);
+ atomicAdd(&wx, weight * x);
+ atomicAdd(&wx2, weight * weight * x);
+ atomicAdd(&wy, weight * y);
+ atomicAdd(&wy2, weight * weight * y);
+ atomicAdd(&wxy, weight * x * y);
+ atomicAdd(&n, 1.);
+ }
+
+ __host__ __device__ void ScaleW(double scale) {
+ w *= scale;
+ w2 *= scale * scale;
+ wx *= scale;
+ wx2 *= scale * scale;
+ wy *= scale;
+ wy2 *= scale * scale;
+ wxy *= scale * scale;
+ }
+};
+
+/**
+ * Name component of Histo1D
+ * -------------------------
+ *
+ * Unfortunately, std::string is not a feature in CUDA, so we have to provide
+ * the name additinally whern writing to file. This is the only difference
+ * between the CUDA and C++ versions of the code.
+ */
+// Histo1D class
+class Histo1D {
+ public:
+ Bin1D bins[nBins]; // Array of Bin1D objects on the device
+ Bin1D uflow;
+ Bin1D oflow;
+ Bin1D total;
+ double scale;
+ // static constexpr int nbin = nBins; // SET IN BASE.CUH
+
+ public:
+ __host__ __device__ Histo1D(double xmin = 0., double xmax = 1.)
+ : uflow(xmin - 100., xmin),
+ oflow(xmax, xmax + 100.),
+ total(xmin - 100., xmax + 100.),
+ scale(1.) {
+ double width = (xmax - xmin) / nBins;
+ for (int i = 0; i < nBins; ++i) {
+ double xlow = xmin + i * width;
+ double xhigh = xlow + width;
+ bins[i] = Bin1D(xlow, xhigh); // Initialize Bin1D object on the device
+ }
+ }
+
+ // Atomic Binning! Each event is binned simultaneously here
+ __device__ void Fill(double x, double w) {
+ int l = 0;
+ int r = nBins - 1;
+ int c = (l + r) / 2;
+ double a = bins[c].xmin;
+
+ while (r - l > 1) {
+ if (x < a) {
+ r = c;
+ } else {
+ l = c;
+ }
+ c = (l + r) / 2;
+ a = bins[c].xmin;
+ }
+
+ if (x > bins[r].xmin) {
+ if (x > bins[r].xmax) {
+ oflow.AtomicFill(x, w);
+ } else {
+ bins[r].AtomicFill(x, w);
+ }
+ } else if (x < bins[l].xmin) {
+ uflow.AtomicFill(x, w);
+ } else {
+ bins[l].AtomicFill(x, w);
+ }
+
+ total.AtomicFill(x, w);
+ }
+
+ __host__ __device__ void ScaleW(double scale) {
+ for (int i = 0; i < nBins; ++i) {
+ bins[i].ScaleW(scale);
+ }
+ uflow.ScaleW(scale);
+ oflow.ScaleW(scale);
+ total.ScaleW(scale);
+ this->scale *= scale;
+ }
+};
+
+class Histo2D {
+ public:
+ Bin2D bins[nBins2D][nBins2D];
+ Bin2D uflow;
+ Bin2D oflow;
+ Bin2D total;
+ double scale;
+
+ public:
+ __host__ __device__ Histo2D(double xmin = 0., double xmax = 1.,
+ double ymin = 0., double ymax = 1.)
+ : uflow(xmin - 100., xmin, ymin - 100., ymin),
+ oflow(xmax, xmax + 100., ymax, ymax + 100.),
+ total(xmin - 100., xmax + 100., ymin - 100., ymax + 100.),
+ scale(1.) {
+ double widthX = (xmax - xmin) / nBins2D;
+ double widthY = (ymax - ymin) / nBins2D;
+ for (int i = 0; i < nBins2D; ++i) {
+ for (int j = 0; j < nBins2D; ++j) {
+ double xlow = xmin + i * widthX;
+ double xhigh = xlow + widthX;
+ double ylow = ymin + j * widthY;
+ double yhigh = ylow + widthY;
+ bins[i][j] = Bin2D(xlow, xhigh, ylow, yhigh);
+ }
+ }
+ }
+
+ __device__ void Fill(double x, double y, double w) {
+ // Find the bin for the x-coordinate
+ int lx = 0;
+ int rx = nBins2D - 1;
+ int cx = (lx + rx) / 2;
+ double ax = bins[cx][0].xmin;
+
+ while (rx - lx > 1) {
+ if (x < ax) {
+ rx = cx;
+ } else {
+ lx = cx;
+ }
+ cx = (lx + rx) / 2;
+ ax = bins[cx][0].xmin;
+ }
+
+ // Find the bin for the y-coordinate
+ int ly = 0;
+ int ry = nBins2D - 1;
+ int cy = (ly + ry) / 2;
+ double ay = bins[0][cy].ymin;
+
+ while (ry - ly > 1) {
+ if (y < ay) {
+ ry = cy;
+ } else {
+ ly = cy;
+ }
+ cy = (ly + ry) / 2;
+ ay = bins[0][cy].ymin;
+ }
+
+ // Fill the appropriate bin
+ if (x > bins[rx][0].xmin && y > bins[0][ry].ymin) {
+ if (x > bins[rx][0].xmax || y > bins[0][ry].ymax) {
+ oflow.AtomicFill(x, y, w);
+ } else {
+ bins[rx][ry].AtomicFill(x, y, w);
+ }
+ } else if (x < bins[lx][0].xmin || y < bins[0][ly].ymin) {
+ uflow.AtomicFill(x, y, w);
+ } else {
+ bins[lx][ly].AtomicFill(x, y, w);
+ }
+
+ total.AtomicFill(x, y, w);
+ }
+
+ void ScaleW(double scale) {
+ for (auto& binRow : bins) {
+ for (auto& bin : binRow) {
+ bin.ScaleW(scale);
+ }
+ }
+ uflow.ScaleW(scale);
+ oflow.ScaleW(scale);
+ total.ScaleW(scale);
+ this->scale *= scale;
+ }
+};
+
+// Writing is done outside of the class in CUDA implementation
+std::string ToString(Histo1D h, std::string name);
+void Write(Histo1D h, std::string name, const std::string& filename);
+
+// Overload for Histo2D
+std::string ToString(Histo2D h, std::string name);
+void Write(Histo2D h, std::string name, const std::string& filename);
+
+#endif // HISTOGRAM_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/parton.cuh b/gaps-1.1/gaps/base/include/parton.cuh
new file mode 100644
index 0000000..f251911
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/parton.cuh
@@ -0,0 +1,45 @@
+#ifndef PARTON_CUH_
+#define PARTON_CUH_
+
+// Partons have Vec4 Momentum, Vec4 #includes Base
+#include "vec4.cuh"
+
+/**
+ * The Parton Class
+ * ----------------
+
+ * This file contains the Parton Object, which has attributes ID, momentum and
+ * colour. For now we use it for Electrons too.
+ */
+
+class Parton {
+ public:
+ // Constructor
+ __device__ Parton(int pid = 0, Vec4 momentum = Vec4(), int col = 0,
+ int anticol = 0)
+ : pid(pid), mom(momentum), col(col), anticol(anticol) {}
+
+ // Getters and Setters
+ __device__ int GetPid() const { return pid; }
+ __device__ Vec4 GetMom() const { return mom; }
+ __device__ int GetCol() const { return col; }
+ __device__ int GetAntiCol() const { return anticol; }
+
+ __device__ void SetPid(int pid) { this->pid = pid; }
+ __device__ void SetMom(Vec4 mom) { this->mom = mom; }
+ __device__ void SetCol(int col) { this->col = col; }
+ __device__ void SetAntiCol(int anticol) { this->anticol = anticol; }
+
+ // If two partons are in a Colour Connected Dipole
+ __device__ bool IsColorConnected(Parton p) {
+ return (col > 0 && col == p.anticol) || (anticol > 0 && anticol == p.col);
+ }
+
+ private:
+ int pid;
+ Vec4 mom;
+ int col;
+ int anticol;
+};
+
+#endif // PARTON_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/qcd.cuh b/gaps-1.1/gaps/base/include/qcd.cuh
new file mode 100644
index 0000000..416c75f
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/qcd.cuh
@@ -0,0 +1,55 @@
+#ifndef QCD_CUH_
+#define QCD_CUH_
+
+// Parton includes Base, which has the CUDA libraries
+#include "event.cuh"
+
+/**
+ * The Strong Coupling Constant
+ * ----------------------------
+ *
+ * This file contains the QCD constants and the alpha_s class. The alpha_s class
+ * is a simple class that calculates the strong coupling constant at a given
+ * scale. The class is designed to be used in a CUDA kernel, so it is a simple
+ * class with no dynamic memory allocation.
+ */
+
+// QCD Constants, maybe you can use for SU(Not 3) ?
+const double kNC = 3.;
+const double kTR = 0.5;
+const double kCA = kNC;
+const double kCF = (kNC * kNC - 1.) / (2. * kNC);
+
+// A lot of the member functions can be defined here, but we need a .cu file to
+// define the kernels, so might as well define everything in the .cu file!
+class AlphaS {
+ private:
+ int order;
+ double mc2, mb2, mz2, asmz, asmb, asmc;
+
+ public:
+ // Constructor
+ __device__ AlphaS(double mz, double asmz, int order = 1, double mb = 4.75,
+ double mc = 1.27);
+
+ // Setup function for device code
+ __device__ void setup(double mz, double asmz, int order = 1, double mb = 4.75,
+ double mc = 1.27);
+
+ // All the required functions to calculate the strong coupling constant
+ __device__ double Beta0(int nf);
+ __device__ double Beta1(int nf);
+ __device__ double As0(double t);
+ __device__ double As1(double t);
+ __device__ double operator()(double t);
+};
+
+// Setup the alpha_s class
+__global__ void asSetupKernel(AlphaS *as, double mz, double asmz, int order = 1,
+ double mb = 4.75, double mc = 1.27);
+
+// Calculate the strong coupling constant
+__global__ void asValue(AlphaS *as, double *asval, double t);
+__global__ void asShowerKernel(AlphaS *as, Event *events, double *asval, int N);
+
+#endif // QCD_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/include/vec4.cuh b/gaps-1.1/gaps/base/include/vec4.cuh
new file mode 100644
index 0000000..43f05a4
--- /dev/null
+++ b/gaps-1.1/gaps/base/include/vec4.cuh
@@ -0,0 +1,160 @@
+#ifndef VEC4_CUH_
+#define VEC4_CUH_
+
+// Base Class, with all the important definitions
+#include "base.cuh"
+
+/**
+ * Four Momenta
+ * ------------
+ *
+ * This file contains the definition of the Four Momenta class, which is used to
+ * represent the four-momentum of particles in the event. It is a simple class
+ * with the four attributes (E, px, py, pz) and some basic operations that can
+ * be performed with them.
+ *
+ *
+ * Why is this Header Only?
+ * ------------------------
+ *
+ * When you declare a __device__ function in a .cuh (header) file and define it
+ * in a .cu file, that function's definition is only available to the .cu file
+ * in which it is defined. This is because __device__ functions are compiled by
+ * nvcc into the device code, and unlike host functions, they do not have
+ * external linkage that allows them to be seen or linked across different .cu
+ * files after individual compilation.
+ */
+
+class Vec4 {
+ private:
+ double E, px, py, pz;
+
+ public:
+ // Constructor - Define key attributes Energy and Momentum
+ // Used in ME and out [HOST + DEVICE]
+ __device__ Vec4(double E = 0., double px = 0., double py = 0., double pz = 0.)
+ : E(E), px(px), py(py), pz(pz) {}
+
+ // Get Method to Obtain Attribute Value
+ __device__ double operator[](int i) const {
+ switch (i) {
+ case 0:
+ return E;
+ case 1:
+ return px;
+ case 2:
+ return py;
+ case 3:
+ return pz;
+ default:
+ // CUDA does not support exceptions, so we just return 0
+ return 0;
+ }
+ }
+
+ // Print a Column Vector with the attributes
+ friend std::ostream& operator<<(std::ostream& os, const Vec4& v) {
+ os << "(" << v.E << "," << v.px << "," << v.py << "," << v.pz << ")";
+ return os;
+ }
+
+ // Simple Mathematics with Four vectors
+ __device__ Vec4 operator+(const Vec4& v) const {
+ return Vec4(E + v.E, px + v.px, py + v.py, pz + v.pz);
+ }
+
+ __device__ Vec4 operator-() const { return Vec4(-E, -px, -py, -pz); }
+
+ __device__ Vec4 operator-(const Vec4& v) const {
+ return Vec4(E - v.E, px - v.px, py - v.py, pz - v.pz);
+ }
+
+ // Multiplication (and Dot Product)
+ __device__ double operator*(const Vec4& v) const {
+ return E * v.E - px * v.px - py * v.py - pz * v.pz;
+ }
+
+ __device__ Vec4 operator*(double v) const {
+ return Vec4(E * v, px * v, py * v, pz * v);
+ }
+
+ // Division
+ __device__ Vec4 operator/(double v) const {
+ return Vec4(E / v, px / v, py / v, pz / v);
+ }
+
+ // Magnitude of the Vector
+ __device__ double M2() const { return (*this) * (*this); }
+
+ __device__ double M() const {
+ double m2 = M2();
+ return m2 > 0 ? sqrt(m2) : 0;
+ }
+
+ // 3 Momenta
+ __device__ double P2() const { return px * px + py * py + pz * pz; }
+
+ __device__ double P() const {
+ double p2 = P2();
+ return p2 > 0 ? sqrt(p2) : 0;
+ }
+
+ // Transverse Momenta
+ __device__ double PT2() const { return px * px + py * py; }
+
+ __device__ double PT() const {
+ double pt2 = PT2();
+ return pt2 > 0 ? sqrt(pt2) : 0;
+ }
+
+ // Angles
+ __device__ double Theta() const {
+ double p = P();
+ return p != 0 ? acos(pz / p) : 0;
+ }
+
+ __device__ double Phi() const {
+ if (px == 0 && py == 0) {
+ return 0.;
+ } else {
+ return atan2(py, px);
+ }
+ }
+
+ __device__ double Rapidity() const {
+ double denominator = (E - pz);
+ return denominator != 0 ? 0.5 * log((E + pz) / denominator) : 0;
+ }
+
+ __device__ double Eta() const {
+ double theta = Theta();
+ return -log(tan(theta / 2.));
+ }
+
+ // Three Momenta Dot and Cross Product
+ __device__ double Dot(const Vec4& v) const {
+ return px * v.px + py * v.py + pz * v.pz;
+ }
+
+ __device__ Vec4 Cross(const Vec4& v) const {
+ return Vec4(0., py * v.pz - pz * v.py, pz * v.px - px * v.pz,
+ px * v.py - py * v.px);
+ }
+
+ // Boosts
+ __device__ Vec4 Boost(const Vec4& v) const {
+ double rsq = M();
+ double v0 = (E * v.E - px * v.px - py * v.py - pz * v.pz) / rsq;
+ double c1 = (v.E + v0) / (rsq + E);
+ return Vec4(v0, v.px - c1 * px, v.py - c1 * py, v.pz - c1 * pz);
+ }
+
+ __device__ Vec4 BoostBack(const Vec4& v) const {
+ double rsq = M();
+ double v0 = (E * v.E + px * v.px + py * v.py + pz * v.pz) / rsq;
+ double c1 = (v.E + v0) / (rsq + E);
+ return Vec4(v0, v.px + c1 * px, v.py + c1 * py, v.pz + c1 * pz);
+ }
+};
+
+#endif // VEC4_CUH_
diff --git a/gaps-1.1/gaps/base/src/base.cu b/gaps-1.1/gaps/base/src/base.cu
new file mode 100644
index 0000000..256dbb8
--- /dev/null
+++ b/gaps-1.1/gaps/base/src/base.cu
@@ -0,0 +1,25 @@
+#include "base.cuh"
+
+// Sync Device and Check for Errors
+void syncGPUAndCheck(const char *operation) {
+ // synchronize with the device
+ cudaDeviceSynchronize();
+
+ // check for an error
+ cudaError_t error = cudaGetLastError();
+ if (error != cudaSuccess) {
+ // print the CUDA error message
+ std::cerr << "CUDA error @" << operation << ": "
+ << cudaGetErrorString(error) << std::endl;
+
+ // abort the program
+ std::exit(EXIT_FAILURE);
+ }
+}
+
+// Debug messages
+__host__ __device__ void DEBUG_MSG(const char *message) {
+ if (debug) {
+ printf("DEBUG: %s\n", message);
+ }
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/src/histogram.cu b/gaps-1.1/gaps/base/src/histogram.cu
new file mode 100644
index 0000000..5c6deab
--- /dev/null
+++ b/gaps-1.1/gaps/base/src/histogram.cu
@@ -0,0 +1,83 @@
+#include "histogram.cuh"
+
+// Libraries needed for file writing
+#include <fstream>
+#include <iomanip>
+#include <sstream>
+#include <string>
+
+// Text for the Yoda File
+std::string ToString(Histo1D h, std::string name) {
+ std::stringstream ss;
+ ss << "BEGIN YODA_HISTO1D " << name << "\n\n";
+ ss << "Path=" << name << "\n\n";
+ ss << "ScaledBy=" << h.scale << "\n";
+ ss << "Title=\nType=Histo1D\n";
+ ss << "# ID\tID\tsumw\tsumw2\tsumwx\tsumwx2\tnumEntries\n";
+ ss << std::scientific << std::setprecision(6);
+ ss << "Total"
+ << "\t" << h.total.w << "\t" << h.total.w2 << "\t" << h.total.wx << "\t"
+ << h.total.wx2 << "\t" << static_cast<int>(h.total.n) << "\n";
+ ss << "Underflow"
+ << "\t" << h.uflow.w << "\t" << h.uflow.w2 << "\t" << h.uflow.wx << "\t"
+ << h.uflow.wx2 << "\t" << static_cast<int>(h.uflow.n) << "\n";
+ ss << "Overflow"
+ << "\t" << h.oflow.w << "\t" << h.oflow.w2 << "\t" << h.oflow.wx << "\t"
+ << h.oflow.wx2 << "\t" << static_cast<int>(h.oflow.n) << "\n";
+ ss << "# xlow\txhigh\tsumw\tsumw2\tsumwx\tsumwx2\tnumEntries\n";
+ for (size_t i = 0; i < nBins; ++i) {
+ ss << std::scientific << std::setprecision(6);
+ ss << h.bins[i].xmin << "\t" << h.bins[i].xmax << "\t" << h.bins[i].w
+ << "\t" << h.bins[i].w2 << "\t" << h.bins[i].wx << "\t" << h.bins[i].wx2
+ << "\t" << static_cast<int>(h.bins[i].n) << "\n";
+ }
+ ss << "END YODA_HISTO1D\n\n";
+ return ss.str();
+}
+
+// Write the Yoda File
+void Write(Histo1D h, std::string name, const std::string& filename) {
+ std::ofstream file;
+ file.open(filename, std::ios::out | std::ios::app);
+ file << ToString(h, name);
+ file.close();
+}
+
+std::string ToString(Histo2D h, std::string name) {
+ std::stringstream ss;
+ ss << "BEGIN YODA_HISTO2D " << name << "\n\n";
+ ss << "Path=" << name << "\n\n";
+ ss << "ScaledBy=" << h.scale << "\n";
+ ss << "Title=\nType=Histo2D\n";
+ ss << "# "
+ "ID\tID\tsumw\tsumw2\tsumwx\tsumwx2\tsumwy\tsumwy2\tsumwxy\tnumEntries"
+ "\n";
+ ss << std::scientific << std::setprecision(6);
+ ss << "Total"
+ << "\t" << h.total.w << "\t" << h.total.w2 << "\t" << h.total.wx << "\t"
+ << h.total.wx2 << "\t" << h.total.wy << "\t" << h.total.wy2 << "\t"
+ << h.total.wxy << "\t" << static_cast<int>(h.total.n) << "\n";
+ ss << "# "
+ "xlow\txhigh\tylow\tyhigh\tsumw\tsumw2\tsumwx\tsumwx2\tsumwy\tsumwy2\ts"
+ "umwxy\tnumEntries\n";
+ for (size_t i = 0; i < nBins2D; ++i) {
+ for (size_t j = 0; j < nBins2D; ++j) {
+ ss << std::scientific << std::setprecision(6);
+ ss << h.bins[i][j].xmin << "\t" << h.bins[i][j].xmax << "\t"
+ << h.bins[i][j].ymin << "\t" << h.bins[i][j].ymax << "\t"
+ << h.bins[i][j].w << "\t" << h.bins[i][j].w2 << "\t" << h.bins[i][j].wx
+ << "\t" << h.bins[i][j].wx2 << "\t" << h.bins[i][j].wy << "\t"
+ << h.bins[i][j].wy2 << "\t" << h.bins[i][j].wxy << "\t"
+ << static_cast<int>(h.bins[i][j].n) << "\n";
+ }
+ }
+ ss << "END YODA_HISTO2D\n\n";
+ return ss.str();
+}
+
+void Write(Histo2D h, std::string name, const std::string& filename) {
+ std::ofstream file;
+ file.open(filename, std::ios::out | std::ios::app);
+ file << ToString(h, name);
+ file.close();
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/base/src/qcd.cu b/gaps-1.1/gaps/base/src/qcd.cu
new file mode 100644
index 0000000..5739ea6
--- /dev/null
+++ b/gaps-1.1/gaps/base/src/qcd.cu
@@ -0,0 +1,110 @@
+#include "qcd.cuh"
+
+// Constructor
+__device__ AlphaS::AlphaS(double mz, double asmz, int order, double mb,
+ double mc)
+ : order(order),
+ mc2(mc * mc),
+ mb2(mb * mb),
+ mz2(mz * mz),
+ asmz(asmz),
+ asmb((*this)(mb2)),
+ asmc((*this)(mc2)) {}
+
+// Setup
+__device__ void AlphaS::setup(double mz, double asmz, int order, double mb,
+ double mc) {
+ this->order = order;
+ this->mc2 = mc * mc;
+ this->mb2 = mb * mb;
+ this->mz2 = mz * mz;
+ this->asmz = asmz;
+ this->asmb = (*this)(mb2);
+ this->asmc = (*this)(mc2);
+}
+
+// Beta and Alpha S functions
+__device__ double AlphaS::Beta0(int nf) {
+ return (11. / 6. * kCA) - (2. / 3. * kTR * nf);
+}
+
+__device__ double AlphaS::Beta1(int nf) {
+ return (17. / 6. * kCA * kCA) - ((5. / 3. * kCA + kCF) * kTR * nf);
+}
+
+// Alpha_s at order 0 and 1 (One-Loop and Two-Loop)
+__device__ double AlphaS::As0(double t) {
+ double tref, asref, b0;
+ if (t >= mb2) {
+ tref = mz2;
+ asref = asmz;
+ b0 = Beta0(5) / (2. * M_PI);
+ } else if (t >= mc2) {
+ tref = mb2;
+ asref = asmb;
+ b0 = Beta0(4) / (2. * M_PI);
+ } else {
+ tref = mc2;
+ asref = asmc;
+ b0 = Beta0(3) / (2. * M_PI);
+ }
+ return 1. / (1. / asref + b0 * log(t / tref));
+}
+
+__device__ double AlphaS::As1(double t) {
+ double tref, asref, b0, b1, w;
+ if (t >= mb2) {
+ tref = mz2;
+ asref = asmz;
+ b0 = Beta0(5) / (2. * M_PI);
+ b1 = Beta1(5) / pow(2. * M_PI, 2);
+ } else if (t >= mc2) {
+ tref = mb2;
+ asref = asmb;
+ b0 = Beta0(4) / (2. * M_PI);
+ b1 = Beta1(4) / pow(2. * M_PI, 2);
+ } else {
+ tref = mc2;
+ asref = asmc;
+ b0 = Beta0(3) / (2. * M_PI);
+ b1 = Beta1(3) / pow(2. * M_PI, 2);
+ }
+ w = 1. + b0 * asref * log(t / tref);
+ return asref / w * (1. - b1 / b0 * asref * log(w) / w);
+}
+
+__device__ double AlphaS::operator()(double t) {
+ if (order == 0) {
+ return As0(t);
+ } else {
+ return As1(t);
+ }
+}
+
+// Set up Kernel on the Device
+__global__ void asSetupKernel(AlphaS *as, double mz, double asmz, int order,
+ double mb, double mc) {
+ as->setup(mz, asmz, order, mb, mc);
+}
+
+// Calculate AlphaS on the Device for ONE input
+__global__ void asValue(AlphaS *as, double *asval, double t) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= 1) return;
+
+ asval[idx] = (*as)(t);
+ printf("asVal: %f\n", (*as)(t));
+}
+
+// Calculate AlphaS on the Device for MANY inputs
+// Exclusively used for Parton Shower Veto Algorithm
+__global__ void asShowerKernel(AlphaS *as, Event *events, double *asval,
+ int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) return;
+ Event &ev = events[idx];
+
+ asval[idx] = (*as)(ev.GetShowerT());
+}
diff --git a/gaps-1.1/gaps/main.cu b/gaps-1.1/gaps/main.cu
new file mode 100644
index 0000000..b63570e
--- /dev/null
+++ b/gaps-1.1/gaps/main.cu
@@ -0,0 +1,166 @@
+// To Measure Wall Clock Time and Write to File
+#include <chrono>
+#include <fstream>
+
+// Base Components
+#include "base.cuh"
+
+// Matrix Element
+#include "matrix.cuh"
+
+// Parton Shower
+#include "shower.cuh"
+
+// Jet and Event Shape Analysis
+#include "observables.cuh"
+
+/**
+ * GAPS: a GPU-Amplified Parton Shower
+ * -----------------------------------
+ *
+ * This program is a simple event generator for e+e- -> partons. It is designed
+ * to be a simple example of how to use the GPU to calculate matrix elements and
+ * perform parton showering. The program is designed to be a proof of concept as
+ * well as a intuitive example of how to use the GPU for event generation.
+ *
+ * This program is based on S. Höche's "Introduction to Parton Showers" Python
+ * tutorial[1]. This program calculates ee -> qq and then showers the partons.
+ *
+ * [1] https://arxiv.org/abs/1411.4085 and MCNET-CTEQ 2021 Tutorial
+ */
+
+// -----------------------------------------------------------------------------
+
+void runGenerator(const int& N, const double& E, const std::string& filename) {
+ // ---------------------------------------------------------------------------
+ // Give some information about the simulation
+
+ std::cout << "-------------------------------------------------" << std::endl;
+ std::cout << "| GAPS: a GPU-Amplified Parton Shower |" << std::endl;
+ std::cout << "-------------------------------------------------" << std::endl;
+ std::cout << "Process: e+ e- --> q qbar" << std::endl;
+ std::cout << "Number of Events: " << N << std::endl;
+ std::cout << "Center of Mass Energy: " << E << " GeV" << std::endl;
+ std::cout << "" << std::endl;
+
+ // ---------------------------------------------------------------------------
+ // Initialisation
+
+ std::cout << "Initialising..." << std::endl;
+ thrust::device_vector<Event> d_events(N);
+
+ // ---------------------------------------------------------------------------
+ // ME Generation
+
+ std::cout << "Generating Matrix Elements..." << std::endl;
+ auto start = std::chrono::high_resolution_clock::now();
+
+ calcLOME(d_events, E);
+
+ auto end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_me = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Do the Showering
+
+ std::cout << "Showering Partons..." << std::endl;
+ start = std::chrono::high_resolution_clock::now();
+
+ runShower(d_events);
+
+ end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_sh = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Analyze Events
+
+ std::cout << "Analysing Events..." << std::endl;
+ start = std::chrono::high_resolution_clock::now();
+
+ // Analysis
+ doAnalysis(d_events, filename);
+
+ end = std::chrono::high_resolution_clock::now();
+ std::chrono::duration<double> diff_an = end - start;
+
+ // ---------------------------------------------------------------------------
+ // Empty the device vector (Not neccessary, but good practice)
+
+ d_events.clear();
+ d_events.shrink_to_fit();
+
+ /**
+ * Maybe in the future, to allow > 10^6 events, we can split the large number
+ * into smaller batches. Right now, we write events to file directly from the
+ * do... functions, so the code is not ready for this.
+ */
+
+ // ---------------------------------------------------------------------------
+ // Results
+
+ double diff = diff_me.count() + diff_sh.count() + diff_an.count();
+
+ std::cout << "" << std::endl;
+ std::cout << "EVENT GENERATION COMPLETE" << std::endl;
+ std::cout << "" << std::endl;
+ std::cout << "ME Time: " << diff_me.count() << " s" << std::endl;
+ std::cout << "Sh Time: " << diff_sh.count() << " s" << std::endl;
+ std::cout << "An Time: " << diff_an.count() << " s" << std::endl;
+ std::cout << "" << std::endl;
+ std::cout << "Total Time: " << diff << " s" << std::endl;
+ std::cout << "" << std::endl;
+
+ // Open the file in append mode. This will create the file if it doesn't
+ // exist.
+ std::ofstream outfile("gaps-time.dat", std::ios_base::app);
+
+ // Write diff_sh.count() to the file.
+ outfile << diff_me.count() << ", " << diff_sh.count() << ", "
+ << diff_an.count() << ", " << diff << std::endl;
+
+ // Close the file.
+ outfile.close();
+
+ std::cout << "Histograms written to " << filename << std::endl;
+ std::cout << "Timing data written to gaps-time.dat" << std::endl;
+ std::cout << "------------------------------------------------" << std::endl;
+}
+// -----------------------------------------------------------------------------
+
+int main(int argc, char* argv[]) {
+ // Import Settings
+ int N = argc > 1 ? atoi(argv[1]) : 10000;
+ double E = argc > 2 ? atof(argv[2]) : 91.2;
+
+ // If more than maxEvents, run in batches
+ if (N > maxEvents) {
+ std::cout << "-------------------------------------------------"
+ << std::endl;
+ std::cout << "More Events than GPU Can Handle at Once!" << std::endl;
+ std::cout << "Running in batches..." << std::endl;
+ std::cout << "Please use rivet-merge to combine runs" << std::endl;
+
+ // Split into batches
+ int nBatches = N / maxEvents;
+ int nRemainder = N % maxEvents;
+ std::cout << "Number of Batches: " << nBatches << std::endl;
+ std::cout << "Size of Remainder: " << nRemainder << std::endl;
+
+ // Run in batches
+ for (int i = 0; i < nBatches; i++) {
+ std::string filename = "gaps-" + std::to_string(i) + ".yoda";
+ runGenerator(maxEvents, E, filename);
+ }
+
+ // Run remainder
+ if (nRemainder > 0) {
+ std::string filename = "gaps-" + std::to_string(nBatches) + ".yoda";
+ runGenerator(nRemainder, E, filename);
+ }
+ } else {
+ runGenerator(N, E, "gaps.yoda");
+ }
+
+ return 0;
+}
+// -----------------------------------------------------------------------------
diff --git a/gaps-1.1/gaps/matrix/CMakeLists.txt b/gaps-1.1/gaps/matrix/CMakeLists.txt
new file mode 100644
index 0000000..7b5722c
--- /dev/null
+++ b/gaps-1.1/gaps/matrix/CMakeLists.txt
@@ -0,0 +1,21 @@
+cmake_minimum_required(VERSION 3.10)
+project(matrix)
+
+# Enable CUDA
+enable_language(CUDA)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cu")
+
+# Set all source files to compile with CUDA
+set_source_files_properties(${SOURCES} PROPERTIES LANGUAGE CUDA)
+
+add_library(matrix ${SOURCES})
+
+# Set CUDA architecture to 7.0 for Tesla V100
+set_property(TARGET matrix PROPERTY CUDA_ARCHITECTURES 70)
+
+# Link to Base
+target_link_libraries(matrix base)
\ No newline at end of file
diff --git a/gaps-1.1/gaps/matrix/include/matrix.cuh b/gaps-1.1/gaps/matrix/include/matrix.cuh
new file mode 100644
index 0000000..eca6061
--- /dev/null
+++ b/gaps-1.1/gaps/matrix/include/matrix.cuh
@@ -0,0 +1,43 @@
+#ifndef MATRIX_CUH
+#define MATRIX_CUH
+
+// Parton includes Base, which has the CUDA libraries
+#include "event.cuh"
+
+/**
+ * Matrix Element Generation
+ * -------------------------
+ *
+ * This class is used to generate the leading order matrix element for the
+ * e+e- -> q qbar process. The ME^2 is calculated simulataneously for all
+ * events, but with a few random numbers for flavour and direction. This is a
+ * massless shower, so the system generates theoretical identical events for
+ * all flavours.
+ */
+class Matrix {
+ private:
+ double alphas, ecms, MZ2, GZ2, alpha, sin2tw, amin, ye, ze, ws;
+
+ public:
+ // Constructor
+ Matrix(double alphas = asmz, double ecms = 91.2);
+
+ // Setup function for device code
+ __device__ void setup(double alphas = asmz, double ecms = 91.2);
+
+ // Leading Order Matrix Element Generation
+ __device__ double ME2(int fl, double s, double t);
+
+ // Getters
+ __device__ double GetECMS() { return ecms; };
+};
+
+// CUDA Kernels to Setup Matrix and make LO Points
+// TIP: CUDA KERNELS CANNOT BE MEMBER FUNCTIONS
+__global__ void matrixSetupKernel(Matrix* matrix, double E);
+__global__ void loPointKernel(Matrix* matrix, Event* ev, int N);
+
+// All tasks wrapped in a function
+void calcLOME(thrust::device_vector<Event>& d_events, double E);
+
+#endif // MATRIX_CUH
\ No newline at end of file
diff --git a/gaps-1.1/gaps/matrix/src/matrix.cu b/gaps-1.1/gaps/matrix/src/matrix.cu
new file mode 100644
index 0000000..2babef4
--- /dev/null
+++ b/gaps-1.1/gaps/matrix/src/matrix.cu
@@ -0,0 +1,131 @@
+#include "matrix.cuh"
+
+// Host constructor
+Matrix::Matrix(double alphas, double ecms)
+ : alphas(alphas),
+ ecms(ecms),
+ MZ2(pow(91.1876, 2.)),
+ GZ2(pow(2.4952, 2.)),
+ alpha(1. / 128.802),
+ sin2tw(0.22293),
+ amin(1.e-10),
+ ye(0.5),
+ ze(0.01),
+ ws(0.25) {}
+
+// Device setup function - Default Values in matrix.cuh
+__device__ void Matrix::setup(double alphas, double ecms) {
+ this->alphas = alphas;
+ this->ecms = ecms;
+ this->MZ2 = pow(91.1876, 2.);
+ this->GZ2 = pow(2.4952, 2.);
+ this->alpha = 1. / 128.802;
+ this->sin2tw = 0.22293;
+ this->amin = 1.e-10;
+ this->ye = 0.5;
+ this->ze = 0.01;
+ this->ws = 0.25;
+}
+
+// ME^2 Formula
+__device__ double Matrix::ME2(int fl, double s, double t) {
+ double qe = -1.;
+ double ae = -0.5;
+ double ve = ae - 2. * qe * sin2tw;
+ double qf = (fl == 2 || fl == 4) ? 2. / 3. : -1. / 3.;
+ double af = (fl == 2 || fl == 4) ? 0.5 : -0.5;
+ double vf = af - 2. * qf * sin2tw;
+ double kappa = 1. / (4. * sin2tw * (1. - sin2tw));
+ double chi1 = kappa * s * (s - MZ2) / (pow(s - MZ2, 2.) + GZ2 * MZ2);
+ double chi2 = pow(kappa * s, 2.) / (pow(s - MZ2, 2.) + GZ2 * MZ2);
+ double term1 = (1. + pow(1. + 2. * t / s, 2.)) *
+ (pow(qf * qe, 2.) + 2. * (qf * qe * vf * ve) * chi1 +
+ (ae * ae + ve * ve) * (af * af + vf * vf) * chi2);
+ double term2 = (1. + 2. * t / s) * (4. * qe * qf * ae * af * chi1 +
+ 8. * ae * ve * af * vf * chi2);
+ return pow(4. * M_PI * alpha, 2.) * 3. * (term1 + term2);
+}
+
+// Kernel to set up the Matrix object on the device
+__global__ void matrixSetupKernel(Matrix *matrix, double E) {
+ matrix->setup(asmz, E);
+}
+
+// Kernel to generate the Event
+__global__ void loPointKernel(Matrix *matrix, Event *events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ curandState state;
+
+ // Every events[idx] has a seed idx
+ // curand_init(idx, 0, 0, &states[idx]);
+
+ // Every events[idx] has a seed idx and clok64() is used to get a seed
+ curand_init(clock64(), idx, 0, &state);
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+
+ double ct = 2. * curand_uniform(&state) - 1.;
+ double st = sqrt(1. - ct * ct);
+ double phi = 2. * M_PI * curand_uniform(&state);
+
+ int fl = curand(&state) % 5 + 1;
+ double p0 = matrix->GetECMS() / 2.; // Need to use Get because outside class
+
+ Vec4 pa(p0, 0., 0., p0);
+ Vec4 pb(p0, 0., 0., -p0);
+ Vec4 p1(p0, p0 * st * cos(phi), p0 * st * sin(phi), p0 * ct);
+ Vec4 p2(p0, -p0 * st * cos(phi), -p0 * st * sin(phi), -p0 * ct);
+
+ double lome = matrix->ME2(fl, (pa + pb).M2(), (pa - p1).M2());
+
+ // Calculate the differential cross section
+ // 5 = 5 flavours (?)
+ // 3.89379656e8 = Convert from GeV^-2 to pb
+ // 8 pi = Standard Phase Space Factor
+ // pow(matrix->GetECMS(), 2.) = center of mass energy squared, s
+ double dxs = 5. * lome * 3.89379656e8 / (8. * M_PI) /
+ (2. * pow(matrix->GetECMS(), 2.));
+
+ Parton p[4] = {Parton(-11, -pa, 0, 0), Parton(11, -pb, 0, 0),
+ Parton(fl, p1, 1, 0), Parton(-fl, p2, 0, 1)};
+
+ // Set the Partons
+ for (int i = 0; i < 4; i++) {
+ ev.SetParton(i, p[i]);
+ }
+
+ // Set the ME Params
+ ev.SetDxs(dxs);
+ ev.SetHard(4);
+}
+
+// Function to generate the LO Matrix Elements + Momenta
+void calcLOME(thrust::device_vector<Event> &d_events, double E) {
+ // Number of Events - Can get from d_events.size()
+ int N = d_events.size();
+
+ // Allocate memory for a Matrix object on the device
+ Matrix *d_matrix;
+ cudaMalloc(&d_matrix, sizeof(Matrix));
+
+ // Set up the device Matrix object
+ DEBUG_MSG("Running @matrixSetupKernel");
+ matrixSetupKernel<<<1, 1>>>(d_matrix, E);
+ syncGPUAndCheck("matrixSetupKernel");
+
+ // Generate the LO Matrix Elements
+ DEBUG_MSG("Running @loPointKernel");
+ loPointKernel<<<(N + 255) / 256, 256>>>(
+ d_matrix, thrust::raw_pointer_cast(d_events.data()), N);
+ syncGPUAndCheck("loPointKernel");
+
+ // Free Memory
+ cudaFree(d_matrix);
+
+ return;
+}
diff --git a/gaps-1.1/gaps/observables/CMakeLists.txt b/gaps-1.1/gaps/observables/CMakeLists.txt
new file mode 100644
index 0000000..2beb936
--- /dev/null
+++ b/gaps-1.1/gaps/observables/CMakeLists.txt
@@ -0,0 +1,21 @@
+cmake_minimum_required(VERSION 3.10)
+project(observables)
+
+# Enable CUDA
+enable_language(CUDA)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cu")
+
+# Set all source files to compile with CUDA
+set_source_files_properties(${SOURCES} PROPERTIES LANGUAGE CUDA)
+
+add_library(observables ${SOURCES})
+
+# Set CUDA architecture to 7.0 for Tesla V100
+set_property(TARGET observables PROPERTY CUDA_ARCHITECTURES 70)
+
+# Link to Base
+target_link_libraries(observables base)
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/include/dalitz.cuh b/gaps-1.1/gaps/observables/include/dalitz.cuh
new file mode 100644
index 0000000..ecb92cd
--- /dev/null
+++ b/gaps-1.1/gaps/observables/include/dalitz.cuh
@@ -0,0 +1,9 @@
+#ifndef DALITZ_CUH_
+#define DALITZ_CUH_
+
+#include "event.cuh"
+
+// Dalitz Plot
+__global__ void calculateDalitz(Event* events, int N);
+
+#endif // DALITZ_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/include/eventshapes.cuh b/gaps-1.1/gaps/observables/include/eventshapes.cuh
new file mode 100644
index 0000000..f1ef393
--- /dev/null
+++ b/gaps-1.1/gaps/observables/include/eventshapes.cuh
@@ -0,0 +1,11 @@
+#ifndef EVENTSHAPES_CUH_
+#define EVENTSHAPES_CUH_
+
+#include "event.cuh"
+
+// Event Shapes
+__device__ void bubbleSort(Vec4* moms, int n);
+__global__ void calculateThr(Event* events, int N);
+__global__ void calculateJetMBr(Event* events, int N);
+
+#endif // EVENTSHAPES_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/include/jetrates.cuh b/gaps-1.1/gaps/observables/include/jetrates.cuh
new file mode 100644
index 0000000..95f5566
--- /dev/null
+++ b/gaps-1.1/gaps/observables/include/jetrates.cuh
@@ -0,0 +1,10 @@
+#ifndef JETRATES_CUH_
+#define JETRATES_CUH_
+
+#include "event.cuh"
+
+// Jet rates using Durham algorithm
+__device__ double Yij(const Vec4& p, const Vec4& q, double ecm2);
+__global__ void doCluster(Event* events, int N);
+
+#endif // JETRATES_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/include/observables.cuh b/gaps-1.1/gaps/observables/include/observables.cuh
new file mode 100644
index 0000000..0db3d97
--- /dev/null
+++ b/gaps-1.1/gaps/observables/include/observables.cuh
@@ -0,0 +1,60 @@
+#ifndef DURHAM_CUH_
+#define DURHAM_CUH_
+
+// Histogram and Parton include relevant headers
+#include "event.cuh"
+#include "histogram.cuh"
+
+// Add Analyses Here
+#include "dalitz.cuh"
+#include "eventshapes.cuh"
+#include "jetrates.cuh"
+
+/**
+ * Observables and their Anaylsis
+ * -------------------------------
+ *
+ * This file contains the necessary classes and functions to perform a Durham
+ * algorithm analysis on a set of events, as well as thrust and Jet massses +
+ * broadenings. The observables are calculated here and then analysed using
+ * Rivet[1]
+ *
+ * [1] Rivet: https://rivet.hepforge.org/
+ */
+
+class Analysis {
+ public:
+ // Similar to Histo1D in C++/Rivet, just split into Host / Device Components
+ Histo1D hists[10];
+ Histo2D dalitz;
+
+ double wtot; // Scale by Weight for 1/sigma d(sigma)/d Observable
+ double ntot; // Scale by Number for d(sigma)/d Observable
+
+ // Can't have strings as device variables, in future could use char*
+ __host__ __device__ Analysis() : wtot(0.), ntot(0.) {
+ hists[0] = Histo1D(-4.3, -0.3); // /gaps/log10y23
+ hists[1] = Histo1D(-4.3, -0.3); // /gaps/log10y34
+ hists[2] = Histo1D(-4.3, -0.3); // /gaps/log10y45
+ hists[3] = Histo1D(-4.3, -0.3); // /gaps/log10y56
+ hists[4] = Histo1D(0., 0.5); // "/gaps/tvalue"
+ hists[5] = Histo1D(0., 0.5); // "/gaps/tzoomd"
+ hists[6] = Histo1D(0., 1.); // "/gaps/hjm"
+ hists[7] = Histo1D(0., 0.5); // "/gaps/ljm"
+ hists[8] = Histo1D(0., 0.5); // "/gaps/wjb"
+ hists[9] = Histo1D(0., 0.2); // "/gaps/njb"
+
+ dalitz = Histo2D(0., 1., 0., 1.); // '/gaps/dalitz"
+ }
+};
+
+// Validate Events - Colour and Momentum Conservation
+__global__ void validateEvents(Event* events, int* invalid, int N);
+
+// Fill Histograms simultaneously
+__global__ void fillHistos(Analysis* an, Event* events, int N);
+
+// Analysis wrapped in a function
+void doAnalysis(thrust::device_vector<Event>& d_events, std::string filename);
+
+#endif // DURHAM_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/src/dalitz.cu b/gaps-1.1/gaps/observables/src/dalitz.cu
new file mode 100644
index 0000000..639693d
--- /dev/null
+++ b/gaps-1.1/gaps/observables/src/dalitz.cu
@@ -0,0 +1,31 @@
+#include "dalitz.cuh"
+
+// Dalitz Plot
+
+__global__ void calculateDalitz(Event* events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+
+ if (!ev.GetValidity() || ev.GetPartonSize() != 3) {
+ return;
+ }
+
+ // Obtain Energy from incoming partons
+ double E = abs(ev.GetParton(0).GetMom()[0] + ev.GetParton(1).GetMom()[0]);
+
+ // By default, element 2 is quark and 3 is antiquark
+ // i.e. emission will be element 4
+ Vec4 p1 = ev.GetParton(2).GetMom();
+ Vec4 p2 = ev.GetParton(3).GetMom();
+
+ // Calculate x1 and x2
+ double x1 = 2 * p1.P() / E;
+ double x2 = 2 * p2.P() / E;
+
+ ev.SetDalitz(x1, x2);
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/src/eventshapes.cu b/gaps-1.1/gaps/observables/src/eventshapes.cu
new file mode 100644
index 0000000..4a9001b
--- /dev/null
+++ b/gaps-1.1/gaps/observables/src/eventshapes.cu
@@ -0,0 +1,175 @@
+#include "eventshapes.cuh"
+
+// Event Shapes
+
+// Bubble sort to sort the momenta in descending order of P()
+__device__ void bubbleSort(Vec4* moms, int n) {
+ for (int i = 0; i < n - 1; i++) {
+ for (int j = 0; j < n - i - 1; j++) {
+ if (moms[j].P() < moms[j + 1].P()) {
+ Vec4 temp = moms[j];
+ moms[j] = moms[j + 1];
+ moms[j + 1] = temp;
+ }
+ }
+ }
+}
+
+// Thrust calculation from TASSO
+__global__ void calculateThr(Event* events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+
+ if (!ev.GetValidity() || ev.GetPartonSize() < 3) {
+ return;
+ }
+
+ Vec4 moms[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ moms[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ bubbleSort(moms, maxPartons);
+
+ double momsum = 0.;
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ momsum += moms[i].P();
+ }
+
+ double thr = 0.;
+ Vec4 t_axis = Vec4();
+
+ for (int k = 1; k < ev.GetPartonSize(); ++k) {
+ for (int j = 0; j < k; ++j) {
+ Vec4 tmp_axis = moms[j].Cross(moms[k]);
+ Vec4 p_thrust = Vec4();
+ Vec4 p_combin[4];
+
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ if (i != j && i != k) {
+ if (moms[i].Dot(tmp_axis) >= 0) {
+ p_thrust = p_thrust + moms[i];
+ } else {
+ p_thrust = p_thrust - moms[i];
+ }
+ }
+ }
+
+ p_combin[0] = (p_thrust + moms[j] + moms[k]);
+ p_combin[1] = (p_thrust + moms[j] - moms[k]);
+ p_combin[2] = (p_thrust - moms[j] + moms[k]);
+ p_combin[3] = (p_thrust - moms[j] - moms[k]);
+
+ for (int i = 0; i < 4; ++i) {
+ double temp = p_combin[i].P();
+ if (temp > thr) {
+ thr = temp;
+ t_axis = p_combin[i];
+ }
+ }
+ }
+ }
+
+ thr /= momsum;
+ thr = 1. - thr;
+
+ t_axis = t_axis / (t_axis).P();
+ if (t_axis[3] < 0) {
+ t_axis = t_axis * -1.;
+ }
+
+ if (thr < 1e-12) {
+ thr = -5.;
+ }
+
+ ev.SetThr(thr);
+ ev.SetTAxis(t_axis);
+}
+
+// Jet Mass and Broadening
+__global__ void calculateJetMBr(Event* events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+
+ if (!ev.GetValidity() || ev.GetPartonSize() < 3) {
+ return;
+ }
+
+ Vec4 moms[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ moms[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ double momsum = 0.;
+ for (int i = 0; i < ev.GetSize(); ++i) {
+ momsum += moms[i].P();
+ }
+
+ Vec4 p_with, p_against;
+ int n_with = 0, n_against = 0;
+ double e_vis = 0., broad_with = 0., broad_against = 0.,
+ broad_denominator = 0.;
+
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ double mo_para = moms[i].Dot(ev.GetTAxis());
+ double mo_perp = (moms[i] - (ev.GetTAxis() * mo_para)).P();
+ double enrg = moms[i].P();
+
+ e_vis += enrg;
+ broad_denominator += 2. * enrg;
+
+ if (mo_para > 0.) {
+ p_with = p_with + moms[i];
+ broad_with += mo_perp;
+ n_with++;
+ } else if (mo_para < 0.) {
+ p_against = p_against + moms[i];
+ broad_against += mo_perp;
+ n_against++;
+ } else {
+ p_with = p_with + (moms[i] * 0.5);
+ p_against = p_against + (moms[i] * 0.5);
+ broad_with += 0.5 * mo_perp;
+ broad_against += 0.5 * mo_perp;
+ n_with++;
+ n_against++;
+ }
+ }
+
+ double e2_vis = e_vis * e_vis;
+
+ double mass2_with = fabs(p_with.M2() / e2_vis);
+ double mass2_against = fabs(p_against.M2() / e2_vis);
+
+ double mass_with = sqrt(mass2_with);
+ double mass_against = sqrt(mass2_against);
+
+ broad_with /= broad_denominator;
+ broad_against /= broad_denominator;
+
+ double mH = fmax(mass_with, mass_against);
+ double mL = fmin(mass_with, mass_against);
+
+ double bW = fmax(broad_with, broad_against);
+ double bN = fmin(broad_with, broad_against);
+
+ if (n_with == 1 || n_against == 1) {
+ ev.SetHJM(mH);
+ ev.SetWJB(bW);
+ } else {
+ ev.SetHJM(mH);
+ ev.SetLJM(mL);
+ ev.SetWJB(bW);
+ ev.SetNJB(bN);
+ }
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/src/jetrates.cu b/gaps-1.1/gaps/observables/src/jetrates.cu
new file mode 100644
index 0000000..0014af9
--- /dev/null
+++ b/gaps-1.1/gaps/observables/src/jetrates.cu
@@ -0,0 +1,110 @@
+#include "jetrates.cuh"
+
+// Jet Rates
+
+// Yij function Used for the Durham analysis
+__device__ double Yij(const Vec4& p, const Vec4& q, double ecm2) {
+ double pq = p[1] * q[1] + p[2] * q[2] + p[3] * q[3];
+ double min_pq = min(p[0], q[0]);
+ double max_pq = max(pq / sqrt(p.P2() * q.P2()), -1.);
+ return 2. * pow(min_pq, 2) * (1. - min(max_pq, 1.)) / ecm2;
+}
+
+// Durham Clustering Algorithm
+__global__ void doCluster(Event* events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+
+ if (!ev.GetValidity()) {
+ return;
+ }
+
+ /**
+ * On the size of arrays during the clustering process:
+ *
+ * The number of partons in the event is not known at compile time, so we
+ * cannot use a fixed size array. We could use a dynamic array, but that
+ * would require a lot of memory management, and we would have to use
+ * malloc and free. Instead, we will use a fixed size array, and we will
+ * assume that the number of partons will not exceed maxPartons. This is
+ * not a great solution, but ok for now.
+ */
+
+ // Get the center of mass energy squared
+ double ecm2 = (ev.GetParton(0).GetMom() + ev.GetParton(1).GetMom()).M2();
+
+ // Extract the 4-momenta of the partons
+ Vec4 p[maxPartons];
+ for (int i = 2; i < ev.GetSize(); ++i) {
+ p[i - 2] = ev.GetParton(i).GetMom();
+ }
+
+ // kt2 will store the kt2 values for each clustering step
+ // If not changed, set to -1 so we can ignore when histogramming
+ double kt2[maxPartons] = {-1.};
+ int counter = 0;
+
+ // Number of partons (which will change when clustered), lower case to avoid N
+ int n = ev.GetPartonSize();
+
+ // imap will store the indices of the partons
+ int imap[maxPartons];
+ for (int i = 0; i < ev.GetPartonSize(); ++i) {
+ imap[i] = i;
+ }
+
+ // kt2ij will store the kt2 values for each pair of partons
+ double kt2ij[maxPartons][maxPartons] = {0.};
+ double dmin = 1.;
+ int ii = 0, jj = 0;
+ for (int i = 0; i < n; ++i) {
+ for (int j = 0; j < i; ++j) {
+ double dij = kt2ij[i][j] = Yij(p[i], p[j], ecm2);
+ if (dij < dmin) {
+ dmin = dij;
+ ii = i;
+ jj = j;
+ }
+ }
+ }
+
+ // Cluster the partons
+ while (n > 2) {
+ --n;
+ kt2[counter] = dmin;
+ counter++;
+ int jjx = imap[jj];
+ p[jjx] = p[jjx] + p[imap[ii]];
+ for (int i = ii; i < n; ++i) {
+ imap[i] = imap[i + 1];
+ }
+ for (int j = 0; j < jj; ++j) {
+ kt2ij[jjx][imap[j]] = Yij(p[jjx], p[imap[j]], ecm2);
+ }
+ for (int i = jj + 1; i < n; ++i) {
+ kt2ij[imap[i]][jjx] = Yij(p[jjx], p[imap[i]], ecm2);
+ }
+ dmin = 1.;
+ for (int i = 0; i < n; ++i) {
+ for (int j = 0; j < i; ++j) {
+ double dij = kt2ij[imap[i]][imap[j]];
+ if (dij < dmin) {
+ dmin = dij;
+ ii = i;
+ jj = j;
+ }
+ }
+ }
+ }
+
+ // Store the kt2 values in the output arrays
+ ev.SetY23(counter > 0 ? log10(kt2[counter - 1 - 0]) : -50.);
+ ev.SetY34(counter > 1 ? log10(kt2[counter - 1 - 1]) : -50.);
+ ev.SetY45(counter > 2 ? log10(kt2[counter - 1 - 2]) : -50.);
+ ev.SetY56(counter > 3 ? log10(kt2[counter - 1 - 3]) : -50.);
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/observables/src/observables.cu b/gaps-1.1/gaps/observables/src/observables.cu
new file mode 100644
index 0000000..08f4ede
--- /dev/null
+++ b/gaps-1.1/gaps/observables/src/observables.cu
@@ -0,0 +1,160 @@
+#include <fstream>
+
+#include "observables.cuh"
+
+// -----------------------------------------------------------------------------
+// Validate Events before binning
+
+__global__ void validateEvents(Event* events, int* invalid, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+ ev.SetValidity(ev.Validate());
+
+ if (!ev.GetValidity()) {
+ // printf("Invalid Event\n");
+ atomicAdd(invalid, 1);
+ }
+}
+
+// -----------------------------------------------------------------------------
+// Analysis
+
+// Fill theHistograms (Atomically!)
+__global__ void fillHistos(Analysis* an, Event* events, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event& ev = events[idx];
+
+ an->hists[0].Fill(ev.GetY23(), ev.GetDxs());
+ an->hists[1].Fill(ev.GetY34(), ev.GetDxs());
+ an->hists[2].Fill(ev.GetY45(), ev.GetDxs());
+ an->hists[3].Fill(ev.GetY56(), ev.GetDxs());
+ an->hists[4].Fill(ev.GetThr(), ev.GetDxs());
+ an->hists[5].Fill(ev.GetThr(), ev.GetDxs());
+ an->hists[6].Fill(ev.GetHJM(), ev.GetDxs());
+ an->hists[7].Fill(ev.GetLJM(), ev.GetDxs());
+ an->hists[8].Fill(ev.GetWJB(), ev.GetDxs());
+ an->hists[9].Fill(ev.GetNJB(), ev.GetDxs());
+
+ // Dalitz Plot is OFF
+ // an->dalitz.Fill(ev.GetDalitz(0), ev.GetDalitz(1), ev.GetDxs());
+
+ atomicAdd(&an->wtot, ev.GetDxs());
+ atomicAdd(&an->ntot, 1.);
+}
+
+// Run the above kernels
+void doAnalysis(thrust::device_vector<Event>& d_events, std::string filename) {
+ /**
+ * Only Place for a Host Object
+ * ----------------------------
+ *
+ * While most of the work is done on the device, one cannot directly write
+ * to a file from the device. Therefore, we will create a host object to
+ * store the histograms, and then copy the results back to the host for
+ * writing to file.
+ */
+
+ // Device Analysis Object
+ Analysis *h_an, *d_an;
+
+ // Allocate memory for the device analysis object
+ h_an = new Analysis();
+ cudaMalloc(&d_an, sizeof(Analysis));
+ cudaMemcpy(d_an, h_an, sizeof(Analysis), cudaMemcpyHostToDevice);
+
+ // Get Event Data
+ int N = d_events.size();
+ Event* d_events_ptr = thrust::raw_pointer_cast(d_events.data());
+
+ // Validate the Events
+ int* d_invalid;
+ cudaMalloc(&d_invalid, sizeof(int));
+ cudaMemset(d_invalid, 0, sizeof(int));
+
+ validateEvents<<<(N + 255) / 256, 256>>>(d_events_ptr, d_invalid, N);
+ syncGPUAndCheck("validateEvents");
+
+ int h_invalid;
+ cudaMemcpy(&h_invalid, d_invalid, sizeof(int), cudaMemcpyDeviceToHost);
+ cudaFree(d_invalid);
+
+ if (h_invalid > 0) {
+ std::cout << "" << std::endl;
+ std::cout << "ERROR: Invalid Events Found" << std::endl;
+ std::cout << "Number of Invalid Events: " << h_invalid << "\n";
+ }
+
+ // Calculare the Observables
+ doCluster<<<(N + 255) / 256, 256>>>(d_events_ptr, N);
+ syncGPUAndCheck("doCluster");
+
+ calculateThr<<<(N + 255) / 256, 256>>>(d_events_ptr, N);
+ syncGPUAndCheck("calculateThr");
+
+ calculateJetMBr<<<(N + 255) / 256, 256>>>(d_events_ptr, N);
+ syncGPUAndCheck("calculateJetMBr");
+
+ /**
+ * Why is the Dalitz Plot off?
+ * ---------------------------
+ *
+ * While the Dalitz analysis also benefits from the GPU parallelisation, the
+ * writing of the data to file severely limits the performance, as instead of
+ * the usual 100 bins, we have 100^2 = 1000 bins. This takes around 0.04s,
+ * which is minute in the C++ case, but is in fact 40% of the total analysis
+ * time! So for our tests, we keep this off, to keep our comparisons fair,
+ * and relvant to the actual GPU effect.
+ *
+ * If you want to turn it on, uncomment the lines in this file, and it's
+ * equivalent in the 'observables.cpp' file.
+ */
+ // calculateDalitz<<<(N + 255) / 256, 256>>>(d_events_ptr, N);
+ // syncGPUAndCheck("calculateDalitz");
+
+ // Do the Analysis
+ fillHistos<<<(N + 255) / 256, 256>>>(d_an, d_events_ptr, N);
+ syncGPUAndCheck("fillHistos");
+
+ // Copy the results back to the host
+ cudaMemcpy(h_an, d_an, sizeof(Analysis), cudaMemcpyDeviceToHost);
+
+ // Normalize the histograms
+ for (auto& hist : h_an->hists) {
+ hist.ScaleW(1. / h_an->ntot);
+ }
+
+ // Dalitz Plot is OFF
+ // h_an->dalitz.ScaleW(1. / h_an->ntot);
+
+ // Remove existing file
+ std::remove(filename.c_str());
+
+ // Write the histograms to file
+ Write(h_an->hists[0], "/gaps/log10y23\n", filename);
+ Write(h_an->hists[1], "/gaps/log10y34\n", filename);
+ Write(h_an->hists[2], "/gaps/log10y45\n", filename);
+ Write(h_an->hists[3], "/gaps/log10y56\n", filename);
+ Write(h_an->hists[4], "/gaps/tvalue\n", filename);
+ Write(h_an->hists[5], "/gaps/tzoomd\n", filename);
+ Write(h_an->hists[6], "/gaps/hjm\n", filename);
+ Write(h_an->hists[7], "/gaps/ljm\n", filename);
+ Write(h_an->hists[8], "/gaps/wjb\n", filename);
+ Write(h_an->hists[9], "/gaps/njb\n", filename);
+
+ // Dalitz Plot is OFF
+ // Write(h_an->dalitz, "/gaps/dalitz\n", filename);
+
+ // Clean up
+ delete h_an;
+ cudaFree(d_an);
+}
\ No newline at end of file
diff --git a/gaps-1.1/gaps/shower/CMakeLists.txt b/gaps-1.1/gaps/shower/CMakeLists.txt
new file mode 100644
index 0000000..e8d7ac6
--- /dev/null
+++ b/gaps-1.1/gaps/shower/CMakeLists.txt
@@ -0,0 +1,21 @@
+cmake_minimum_required(VERSION 3.10)
+project(shower)
+
+# Enable CUDA
+enable_language(CUDA)
+
+set(CMAKE_CXX_STANDARD 17)
+
+include_directories(include ../base/include)
+file(GLOB SOURCES "src/*.cu")
+
+# Set all source files to compile with CUDA
+set_source_files_properties(${SOURCES} PROPERTIES LANGUAGE CUDA)
+
+add_library(shower ${SOURCES})
+
+# Set CUDA architecture to 7.0 for Tesla V100
+set_property(TARGET shower PROPERTY CUDA_ARCHITECTURES 70)
+
+# Link to Base
+target_link_libraries(shower base)
\ No newline at end of file
diff --git a/gaps-1.1/gaps/shower/include/colours.cuh b/gaps-1.1/gaps/shower/include/colours.cuh
new file mode 100644
index 0000000..d149ab9
--- /dev/null
+++ b/gaps-1.1/gaps/shower/include/colours.cuh
@@ -0,0 +1,66 @@
+#ifndef SHOWER_COLOURS_CUH_
+#define SHOWER_COLOURS_CUH_
+
+#include "qcd.cuh"
+
+// Colours
+
+/**
+ * Why is this function in a header file? See Vec4.cuh
+ */
+
+__device__ void MakeColours(Event &ev, int *coli, int *colj, const int flavs[3],
+ const int colij[2], const int colk[2],
+ const double rand) {
+ // Increase variable ev.GetShowerC() by 1
+ ev.IncrementShowerC();
+
+ if (flavs[0] != 21) {
+ if (flavs[0] > 0) {
+ coli[0] = ev.GetShowerC();
+ coli[1] = 0;
+ colj[0] = colij[0];
+ colj[1] = ev.GetShowerC();
+ } else {
+ coli[0] = 0;
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ }
+ } else {
+ if (flavs[1] == 21) {
+ if (colij[0] == colk[1]) {
+ if (colij[1] == colk[0] && rand > 0.5) {
+ coli[0] = colij[0];
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ } else {
+ coli[0] = ev.GetShowerC();
+ coli[1] = colij[1];
+ colj[0] = colij[0];
+ colj[1] = ev.GetShowerC();
+ }
+ } else {
+ coli[0] = colij[0];
+ coli[1] = ev.GetShowerC();
+ colj[0] = ev.GetShowerC();
+ colj[1] = colij[1];
+ }
+ } else {
+ if (flavs[1] > 0) {
+ coli[0] = colij[0];
+ coli[1] = 0;
+ colj[0] = 0;
+ colj[1] = colij[1];
+ } else {
+ coli[0] = 0;
+ coli[1] = colij[1];
+ colj[0] = colij[0];
+ colj[1] = 0;
+ }
+ }
+ }
+}
+
+#endif // SHOWER_COLOURS_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/shower/include/kinematics.cuh b/gaps-1.1/gaps/shower/include/kinematics.cuh
new file mode 100644
index 0000000..5283545
--- /dev/null
+++ b/gaps-1.1/gaps/shower/include/kinematics.cuh
@@ -0,0 +1,42 @@
+#ifndef SHOWER_KINEMATICS_CUH_
+#define SHOWER_KINEMATICS_CUH_
+
+#include "qcd.cuh"
+
+/**
+ * Why is this function in a header file? See Vec4.cuh
+ */
+
+__device__ void MakeKinematics(Vec4 *kinematics, const double z, const double y,
+ const double phi, const Vec4 pijt,
+ const Vec4 pkt) {
+ Vec4 Q = pijt + pkt;
+
+ // Generating the Momentum (0, kt1, kt2, 0)
+ double rkt = sqrt(Q.M2() * y * z * (1. - z));
+
+ Vec4 kt1 = pijt.Cross(pkt);
+ if (kt1.P() < 1.e-6) {
+ Vec4 xaxis(0., 1., 0., 0.);
+ kt1 = pijt.Cross(xaxis);
+ }
+ kt1 = kt1 * (rkt * cos(phi) / kt1.P());
+
+ Vec4 kt2cms = Q.Boost(pijt);
+ kt2cms = kt2cms.Cross(kt1);
+ kt2cms = kt2cms * (rkt * sin(phi) / kt2cms.P());
+ Vec4 kt2 = Q.BoostBack(kt2cms);
+
+ // Conversion to {i, j, k} basis
+ Vec4 pi = pijt * z + pkt * ((1. - z) * y) + kt1 + kt2;
+ Vec4 pj = pijt * (1. - z) + pkt * (z * y) - kt1 - kt2;
+ Vec4 pk = pkt * (1. - y);
+
+ // No need to do *kinematics[0], for arrays the elements are already
+ // pointers
+ kinematics[0] = pi;
+ kinematics[1] = pj;
+ kinematics[2] = pk;
+}
+
+#endif // SHOWER_KINEMATICS_CUH_
\ No newline at end of file
diff --git a/gaps-1.1/gaps/shower/include/shower.cuh b/gaps-1.1/gaps/shower/include/shower.cuh
new file mode 100644
index 0000000..c41c835
--- /dev/null
+++ b/gaps-1.1/gaps/shower/include/shower.cuh
@@ -0,0 +1,56 @@
+#ifndef SHOWER_CUH_
+#define SHOWER_CUH_
+
+// qcd includes all the necessary headers
+#include "qcd.cuh"
+
+/**
+ * A Dipole Shower on GPU
+ * ----------------------
+ *
+ * NOTE: Kernel = CUDA function, Splitting Function = QCD function
+ *
+ * This is the main result of the published work. It is a full implementation of
+ * a dipole shower on the GPU. It is designed to be as fast as possible*, and
+ * uses a number of tricks to achieve this. The main trick is to use a single
+ * kernel to perform the entire shower, and to use a number of optimisations to
+ * make the code as fast as possible.
+ *
+ * With the Event Object storing all the neccessary information and with the
+ * fact that kernel's can't be member functions, the Shower Class has been
+ * removed
+ *
+ * *: as possible as a second year PhD student can make it ;)
+ */
+
+// Initialise the curandStates
+__global__ void initCurandStates(curandState *states, int N);
+
+// Prepare Events for the Shower
+__global__ void prepShower(Event *events, int N);
+
+// Selecting the Winner Emission
+__global__ void selectWinnerSplitFunc(Event *events, curandState *states,
+ int N);
+
+// Check the Cutoff
+__global__ void checkCutoff(Event *events, int *d_completed, double cutoff,
+ int N);
+
+// Veto Algorithm
+__global__ void vetoAlg(Event *events, double *asval, bool *acceptEmission,
+ curandState *states, int N);
+
+// Perform the Splitting
+__global__ void doSplitting(Event *events, bool *acceptEmission,
+ curandState *states, int N);
+
+// Kinematics
+__device__ void MakeKinematics(Vec4 *kinematics, const double z, const double y,
+ const double phi, const Vec4 pijt,
+ const Vec4 pkt);
+
+// All tasks wrapped into a function
+void runShower(thrust::device_vector<Event> &d_events);
+
+#endif // SHOWER_CUH_
diff --git a/gaps-1.1/gaps/shower/include/splittings.cuh b/gaps-1.1/gaps/shower/include/splittings.cuh
new file mode 100644
index 0000000..a5b5bcb
--- /dev/null
+++ b/gaps-1.1/gaps/shower/include/splittings.cuh
@@ -0,0 +1,266 @@
+#ifndef SPLITTINGS_CUH_
+#define SPLITTINGS_CUH_
+
+#include "qcd.cuh"
+
+/**
+ * Splitting Functions as a function - safer but less sophisticated
+ * ----------------------------------------------------------------
+ *
+ * This is a safer and more straightforward way to implement the splitting
+ * functions for the shower. Although the class-based approach is good for
+ * C++, in CUDA many issues arise that mean that OOP might not always be the
+ * best strategy in coding. As a simpler approach, we will use switch-case
+ * statements to select the correct splitting function.
+ *
+ * We have a LOT of splitting functions:
+ * - Four types (FF, FI, IF, II)
+ * - Three or Four Possible DGLAP Splittings (q->qg, q->gq, g->gg, g->qq)
+ * - Five Flavours of Quarks (d, u, s, c, b) and each of their antiquarks
+ * - At most, In total: 4 * (10 + 10 + 1 + 5) = 104 splitting functions
+ *
+ * So we need to organise ourselves with some kind of structure. As a first
+ * attempt lets use four digit codes to identify the splitting functions:
+ *
+ * - 1st digit: Type of Split-Spect (FF, FI, IF, II) - 0, 1, 2, 3
+ * - 2nd digit: Type of DGLAP (q->qg, q->gq, g->gg, g->qq) - 0, 1, 2, 3
+ * - 3rd digit: Emitter is a Particle or Antiparticle - 0, 1 (gluon is 0)
+ * - 4th digit: Flavor of the Emitter - 1, 2, 3, 4, 5; 0 for gluon
+ *
+ * Examples:
+ * - FF u -> ug = 0 0 0 2
+ * - FF ubar -> ubar g = 0 0 1 2
+ * - FF g -> gg = 0 2 0 0
+ * - FF g -> ccbar = 0 3 0 4
+ *
+ * - FI u -> ug = 1 0 0 2
+ * - FI g -> ccbar = 1 3 0 4
+ *
+ * - IF d -> dg = 2 0 0 1
+ * - IF d -> gd = 2 1 0 1
+ * - IF sbar -> sbar g = 2 0 1 3
+ * - IF g -> uubar = 2 3 0 2
+ *
+ * - II g -> gg = 3 2 0 0
+ * - II g -> bbbar = 3 3 0 5
+ *
+ * This way we can easily identify the splitting functions and select the
+ * correct one using a switch-case statement. This can be used for value,
+ * estimate, integral and generateZ functions.
+ */
+
+// Splitting Function Codes - Only FF for now (Removed Zeroes)
+// ------------------------------------------
+__constant__ int sfCodes[] = {1, 2, 3, 4, 5, 11, 12, 13,
+ 14, 15, 200, 301, 302, 303, 304, 305};
+
+// -----------------------------------------------------------------------------
+
+__device__ double sfValue(double z, double y, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * (2. / (1. - z * (1. - y)) - (1. + z));
+ break;
+
+ // FF g -> gg
+ case 200:
+ // Asymmetric Splitting Function: Fixed Emitter and Emission in our code
+ return kCA / 2. * (2. / (1. - z * (1. - y)) - 2. + z * (1. - z));
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ // Divide by 2 to avoid double counting of the same splitting
+ return kTR / 2. * (1. - 2. * z * (1. - z));
+ break;
+ }
+ return 0.;
+}
+
+// -----------------------------------------------------------------------------
+
+__device__ double sfEstimate(double z, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * 2. / (1. - z);
+ break;
+
+ // FF g -> gg
+ case 200:
+ return kCA / (1. - z);
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return kTR / 2.;
+ break;
+ }
+ return 0.;
+}
+
+// -----------------------------------------------------------------------------
+
+__device__ double sfIntegral(double zm, double zp, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ return kCF * 2. * log((1. - zm) / (1. - zp));
+ break;
+
+ // FF g -> gg
+ case 200:
+ return kCA * log((1. - zm) / (1. - zp));
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ return kTR / 2. * (zp - zm);
+ break;
+ }
+ return 0.;
+}
+
+// -----------------------------------------------------------------------------
+
+__device__ double sfGenerateZ(double zm, double zp, double rand, int sf) {
+ switch (sf) {
+ // FF Splittings ---------------------------
+
+ // FF q -> qg
+ case 1:
+ case 2:
+ case 3:
+ case 4:
+ case 5:
+ case 11:
+ case 12:
+ case 13:
+ case 14:
+ case 15:
+ // int = - 2CF * log(1 - z); inv = 1 - exp(-x/2CF)
+ return 1. + (zp - 1.) * pow((1. - zm) / (1. - zp), rand);
+ break;
+
+ // FF g -> gg
+ case 200:
+ // int = - CA * log(1 - z); inv = 1 - exp(-x/CA)
+ return 1. + (zp - 1.) * pow((1. - zm) / (1. - zp), rand);
+ break;
+
+ // FF g -> qqbar
+ case 301:
+ case 302:
+ case 303:
+ case 304:
+ case 305:
+ // int = TR/2 * z; inv = x / (TR/2)
+ return zm + (zp - zm) * rand;
+ break;
+ }
+ return 0.;
+}
+
+// -----------------------------------------------------------------------------
+// Utility Functions
+
+__device__ bool validateSplitting(int ij, int sf) {
+ // Obtain the splitting function code
+ // int firstDigit = sf / 1000;
+ int secondDigit = (sf / 100) % 10;
+ int thirdDigit = (sf / 10) % 10;
+ int fourthDigit = sf % 10;
+
+ // Insert FF, FI, IF, II checks here
+ // ---------------------------------
+
+ // Skip if ij is a quark and the sf is not a quark sf (2nd digit), or
+ // if ij is a gluon and the sf is not a gluon sf (2nd digit)
+ if ((ij != 21 && secondDigit >= 2) || (ij == 21 && secondDigit < 2)) {
+ return false;
+ }
+
+ // Skip if ij is a particle and sf is an antiparticle sf (3rd digit), or
+ // if ij is an antiparticle and sf is a particle sf (3rd digit)
+ if ((ij < 0 && thirdDigit == 0) || (ij > 0 && thirdDigit == 1)) {
+ return false;
+ }
+
+ // q->qg case: Skip if the flavor of ij is different from the flavor of the sf
+ // g->gg and g->qq case: No need to check the flavor
+ if ((ij != 21 && abs(ij) != fourthDigit)) {
+ return false;
+ }
+
+ return true;
+}
+
+__device__ void sfToFlavs(int sf, int* flavs) {
+ if (sf < 16) {
+ if (sf < 6) {
+ flavs[0] = sf;
+ flavs[1] = sf;
+ flavs[2] = 21;
+ } else {
+ flavs[0] = -1 * (sf - 10);
+ flavs[1] = -1 * (sf - 10);
+ flavs[2] = 21;
+ }
+ } else if (sf == 200) {
+ flavs[0] = 21;
+ flavs[1] = 21;
+ flavs[2] = 21;
+ } else if (sf < 306) {
+ flavs[0] = 21;
+ flavs[1] = sf - 300;
+ flavs[2] = -1 * (sf - 300);
+ }
+}
+
+#endif // SPLITTINGS_CUH_
diff --git a/gaps-1.1/gaps/shower/src/shower.cu b/gaps-1.1/gaps/shower/src/shower.cu
new file mode 100644
index 0000000..4d43ebc
--- /dev/null
+++ b/gaps-1.1/gaps/shower/src/shower.cu
@@ -0,0 +1,462 @@
+#include "shower.cuh"
+
+// Need to be here to avoid multiple definitions
+#include "colours.cuh"
+#include "kinematics.cuh"
+#include "splittings.cuh"
+
+// -----------------------------------------------------------------------------
+// Random Number Generator
+
+// No need during matrix as initialised once and used once only
+// But for shower used 80 to 100 times
+__global__ void initCurandStates(curandState *states, int N) {
+ int idx = threadIdx.x + blockIdx.x * blockDim.x;
+ if (idx >= N) {
+ return;
+ }
+ // Every events[idx] has a seed idx
+ // curand_init(idx, 0, 0, &states[idx]);
+
+ // Every events[idx] has a seed idx and clok64() is used to get a seed
+ curand_init(clock64(), idx, 0, &states[idx]);
+}
+
+// -----------------------------------------------------------------------------
+// Preparing the Shower
+
+__global__ void prepShower(Event *events, int N) {
+ int idx = threadIdx.x + blockIdx.x * blockDim.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+
+ // Set the starting shower scale
+ double t_max = (ev.GetParton(0).GetMom() + ev.GetParton(1).GetMom()).M2();
+ ev.SetShowerT(t_max);
+
+ // Set the initial number of emissions
+ ev.SetEmissions(0);
+
+ // Set the Colour Counter to 1 (q and qbar)
+ ev.SetShowerC(1);
+
+ // Set the initial end shower flag - No need, default value is false
+ // ev.SetEndShower(false);
+}
+
+// -----------------------------------------------------------------------------
+
+/**
+ * Selecting the Winner Splitting Function
+ * ---------------------------------------
+ *
+ * When you profile the code, you will notice that this is the process that
+ * takes up half of the shower time. This method below is a first attempt at
+ * parallelizing the process.
+ */
+
+__global__ void selectWinnerSplitFunc(Event *events, curandState *states,
+ int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ curandState state = states[idx];
+
+ Event &ev = events[idx];
+
+ // Do not run if the shower has ended
+ if (ev.GetEndShower()) {
+ return;
+ }
+
+ // Default Values
+ double win_tt = tC; // Lowest possible value is Cutoff Scale (in base.cuh)
+ int win_sf = 0; // 0 = No Splitting
+ int win_ij = 0;
+ int win_k = 0;
+ double win_zp = 0.;
+ double win_m2 = 0.;
+
+ // We start at 2 because elements 0 and 1 are electrons - To change with ISR
+ for (int ij = 2; ij < ev.GetSize(); ij++) {
+ for (int k = 2; k < ev.GetSize(); k++) {
+ // Sanity Check to ensure ij != k
+ if (ij == k) {
+ continue;
+ }
+
+ // Need to check if ij and k are colour connected
+ if (!ev.GetParton(ij).IsColorConnected(ev.GetParton(k))) {
+ continue;
+ }
+
+ // Params Identical to all splitting functions
+ double m2 = (ev.GetParton(ij).GetMom() + ev.GetParton(k).GetMom()).M2();
+ if (m2 < 4. * tC) {
+ continue;
+ }
+
+ // Phase Space Limits
+ double zp = 0.5 * (1. + sqrt(1. - 4. * tC / m2));
+
+ // Codes instead of Object Oriented Approach!
+ for (int sf : sfCodes) {
+ // Check if the Splitting Function is valid for the current partons
+ if (!validateSplitting(ev.GetParton(ij).GetPid(), sf)) {
+ continue;
+ }
+
+ // Calculate the Evolution Variable
+ double g = asmax / (2. * M_PI) * sfIntegral(1 - zp, zp, sf);
+ double tt = ev.GetShowerT() * pow(curand_uniform(&state), 1. / g);
+
+ states[idx] = state; // So that the next number is not the same!
+
+ // Check if tt is greater than the current winner
+ if (tt > win_tt) {
+ win_tt = tt;
+ win_sf = sf;
+ win_ij = ij;
+ win_k = k;
+ win_zp = zp;
+ win_m2 = m2;
+ }
+ }
+ }
+ }
+
+ // Store the results
+ ev.SetShowerT(win_tt);
+ ev.SetWinSF(win_sf);
+ ev.SetWinDipole(0, win_ij);
+ ev.SetWinDipole(1, win_k);
+ ev.SetWinParam(0, win_zp);
+ ev.SetWinParam(1, win_m2);
+}
+
+// -----------------------------------------------------------------------------
+
+__global__ void checkCutoff(Event *events, int *d_completed, double cutoff,
+ int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+
+ // Do not run if the shower has ended
+ if (ev.GetEndShower()) {
+ return;
+ }
+
+ /**
+ * End shower if t < cutoff
+ *
+ * ev.GetShowerT() <= cutoff is equally valid
+ * I just prefer this way because this way is
+ * how we usually write it in Literature
+ */
+ if (!(ev.GetShowerT() > cutoff)) {
+ ev.SetEndShower(true);
+ atomicAdd(d_completed, 1); // Increment the number of completed events
+ }
+}
+
+// -----------------------------------------------------------------------------
+
+__global__ void vetoAlg(Event *events, double *asval, bool *acceptEmission,
+ curandState *states, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+ curandState state = states[idx];
+
+ // Do not run if the shower has ended
+ if (ev.GetEndShower()) {
+ return;
+ }
+
+ // Set to False, only set to True if accpeted
+ acceptEmission[idx] = false;
+
+ // Get the Splitting Function
+ int sf = ev.GetWinSF();
+
+ double rand = curand_uniform(&state);
+ states[idx] = state;
+
+ // Generate z
+ double zp = ev.GetWinParam(0);
+ double z = sfGenerateZ(1 - zp, zp, rand, sf);
+
+ double y = ev.GetShowerT() / ev.GetWinParam(1) / z / (1. - z);
+
+ double f = 0.;
+ double g = 0.;
+ double value = 0.;
+ double estimate = 0.;
+
+ // CS Kernel: y can't be 1
+ if (y < 1.) {
+ value = sfValue(z, y, sf);
+ estimate = sfEstimate(z, sf);
+
+ f = (1. - y) * asval[idx] * value;
+ g = asmax * estimate;
+
+ if (curand_uniform(&state) < f / g) {
+ acceptEmission[idx] = true;
+ ev.SetShowerZ(z);
+ ev.SetShowerY(y);
+ }
+ states[idx] = state;
+ }
+}
+
+// -----------------------------------------------------------------------------
+
+// Do Splitting
+__global__ void doSplitting(Event *events, bool *acceptEmission,
+ curandState *states, int N) {
+ int idx = blockIdx.x * blockDim.x + threadIdx.x;
+
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+
+ // Do not run if the shower has ended
+ if (ev.GetEndShower()) {
+ return;
+ }
+
+ if (!acceptEmission[idx]) {
+ return;
+ }
+
+ curandState state = states[idx];
+
+ double phi = 2. * M_PI * curand_uniform(&state);
+ states[idx] = state;
+
+ int win_ij = ev.GetWinDipole(0);
+ int win_k = ev.GetWinDipole(1);
+
+ // Make Kinematics
+ Vec4 moms[3] = {Vec4(), Vec4(), Vec4()};
+
+ MakeKinematics(moms, ev.GetShowerZ(), ev.GetShowerY(), phi,
+ ev.GetParton(win_ij).GetMom(), ev.GetParton(win_k).GetMom());
+
+ // Adjust Colors
+
+ // Get Flavs from Kernel Number
+ int sf = ev.GetWinSF();
+ int flavs[3];
+ sfToFlavs(sf, flavs);
+
+ int colij[2] = {ev.GetParton(win_ij).GetCol(),
+ ev.GetParton(win_ij).GetAntiCol()};
+
+ int colk[2] = {ev.GetParton(win_k).GetCol(),
+ ev.GetParton(win_k).GetAntiCol()};
+
+ int coli[2] = {0, 0};
+ int colj[2] = {0, 0};
+
+ double rand = curand_uniform(&state);
+ states[idx] = state;
+
+ MakeColours(ev, coli, colj, flavs, colij, colk, rand);
+
+ // Modify Splitter
+ ev.SetPartonPid(win_ij, flavs[1]);
+ ev.SetPartonMom(win_ij, moms[0]);
+ ev.SetPartonCol(win_ij, coli[0]);
+ ev.SetPartonAntiCol(win_ij, coli[1]);
+
+ // Modify Recoiled Spectator
+ ev.SetPartonMom(win_k, moms[2]);
+
+ // Add Emitted Parton
+ Parton em = Parton(flavs[2], moms[1], colj[0], colj[1]);
+ ev.SetParton(ev.GetSize(), em);
+
+ // Increment Emissions (IMPORTANT)
+ ev.IncrementEmissions();
+}
+
+// -----------------------------------------------------------------------------
+
+/*
+__global__ void countBools(Event *events, int *trueCount, bool *acceptEmission,
+ int *falseCount, int N) {
+ int idx = threadIdx.x + blockIdx.x * blockDim.x;
+ if (idx >= N) {
+ return;
+ }
+
+ Event &ev = events[idx];
+
+ if (ev.GetEndShower()) {
+ return;
+ }
+
+ if (!acceptEmission[idx]){
+ atomicAdd(trueCount, 1);
+ } else {
+ atomicAdd(falseCount, 1);
+ }
+}
+*/
+
+// -----------------------------------------------------------------------------
+
+void runShower(thrust::device_vector<Event> &d_events) {
+ // Number of Events - Can get from d_events.size()
+ int N = d_events.size();
+
+ // Set up the device alphaS
+ AlphaS *d_as;
+ cudaMalloc(&d_as, sizeof(AlphaS));
+ asSetupKernel<<<1, 1>>>(d_as, mz, asmz);
+ syncGPUAndCheck("asSetupKernel");
+
+ // Allocate device memory for completed events counter
+ int *d_completed;
+ cudaMalloc(&d_completed, sizeof(int));
+ cudaMemset(d_completed, 0, sizeof(int));
+
+ // as(t) and veto
+ double *d_asval;
+ cudaMalloc(&d_asval, N * sizeof(double));
+ bool *d_acceptEmission;
+ cudaMalloc(&d_acceptEmission, N * sizeof(bool));
+
+ // Allocate space for curand states
+ curandState *d_states;
+ cudaMalloc(&d_states, N * sizeof(curandState));
+
+ // Initialize the states
+ initCurandStates<<<(N + 255) / 256, 256>>>(d_states, N);
+
+ // Store the number of finished events per cycle
+ std::vector<int> completedPerCycle;
+
+ // Use a pointer to the device events
+ Event *d_events_ptr = thrust::raw_pointer_cast(d_events.data());
+
+ // ---------------------------------------------------------------------------
+ // Prepare the Shower
+
+ DEBUG_MSG("Running @prepShower");
+ prepShower<<<(N + 255) / 256, 256>>>(d_events_ptr, N);
+ syncGPUAndCheck("prepShower");
+
+ // ---------------------------------------------------------------------------
+ // Run the Shower
+
+ int completed = 0;
+ int cycle = 0;
+ while (completed < N) {
+ // Run all the kernels here...
+ // -------------------------------------------------------------------------
+ // Select the winner kernel
+
+ DEBUG_MSG("Running @selectWinnerSplitFunc");
+ selectWinnerSplitFunc<<<(N + 255) / 256, 256>>>(d_events_ptr, d_states, N);
+ syncGPUAndCheck("selectWinnerSplitFunc");
+
+ // -------------------------------------------------------------------------
+ // Check Cutoff
+
+ DEBUG_MSG("Running @checkCutoff");
+ checkCutoff<<<(N + 255) / 256, 256>>>(d_events_ptr, d_completed, tC, N);
+ syncGPUAndCheck("checkCutoff");
+
+ // -------------------------------------------------------------------------
+ // Calculate AlphaS for Veto Algorithm
+
+ DEBUG_MSG("Running @asShowerKernel");
+ asShowerKernel<<<(N + 255) / 256, 256>>>(d_as, d_events_ptr, d_asval, N);
+ syncGPUAndCheck("asShowerKernel");
+
+ // -------------------------------------------------------------------------
+ // Veto Algorithm
+
+ DEBUG_MSG("Running @vetoAlg");
+ vetoAlg<<<(N + 255) / 256, 256>>>(d_events_ptr, d_asval, d_acceptEmission,
+ d_states, N);
+ syncGPUAndCheck("vetoAlg");
+
+ // -------------------------------------------------------------------------
+ // Splitting Algorithm
+
+ DEBUG_MSG("Running @doSplitting");
+ doSplitting<<<(N + 255) / 256, 256>>>(d_events_ptr, d_acceptEmission,
+ d_states, N);
+ syncGPUAndCheck("doSplitting");
+
+ // -------------------------------------------------------------------------
+ // Import the Number of Completed Events
+
+ cudaMemcpy(&completed, d_completed, sizeof(int), cudaMemcpyDeviceToHost);
+ cycle++;
+
+ // Until Paper is Published, we will use this
+ completedPerCycle.push_back(completed);
+
+ // -------------------------------------------------------------------------
+ // Print number of Accepted / Vetoed Events - for A. V.
+
+ /*
+ // TRUE means that the event is vetoed
+ // FALSE means that the event is accepted
+
+ int *d_trueCount, *d_falseCount;
+ cudaMalloc(&d_trueCount, sizeof(int));
+ cudaMalloc(&d_falseCount, sizeof(int));
+ cudaMemset(d_trueCount, 0, sizeof(int));
+ cudaMemset(d_falseCount, 0, sizeof(int));
+
+ DEBUG_MSG("Running @countBools");
+ countBools<<<(N + 255) / 256, 256>>>(d_events_ptr, d_acceptEmission,
+ d_trueCount, d_falseCount, N); syncGPUAndCheck("countBools");
+
+ int h_trueCount(0), h_falseCount(0); // Number of vetoed events
+ cudaMemcpy(&h_trueCount, d_trueCount, sizeof(int), cudaMemcpyDeviceToHost);
+ cudaMemcpy(&h_falseCount, d_falseCount, sizeof(int),
+ cudaMemcpyDeviceToHost);
+
+ std::cout << cycle << ", " << N - completed << ", " << h_trueCount << ", "
+ << h_falseCount << std::endl;
+ */
+ }
+
+ // ---------------------------------------------------------------------------
+ // Write completedPerCycle to file
+ std::ofstream file("gaps-cycles.dat");
+ for (auto &i : completedPerCycle) {
+ file << i << std::endl;
+ }
+
+ // ---------------------------------------------------------------------------
+ // Clean Up Device Memory
+ cudaFree(d_asval);
+ cudaFree(d_acceptEmission);
+ cudaFree(d_completed);
+}
diff --git a/gaps-1.1/rungaps b/gaps-1.1/rungaps
new file mode 100755
index 0000000..91d36f1
--- /dev/null
+++ b/gaps-1.1/rungaps
@@ -0,0 +1,104 @@
+#!/usr/bin/env python3
+
+# ------------------------------------------------------------------------------
+
+# GAPS - Run Script
+# -----------------
+# This script is used to compile and run the GAPS and C++ Shower codes. It
+# provides a number of options to control the number of events, the number of
+# cores to use, and the type of run to perform. The run types are:
+# - gaps: Run the GAPS simulation
+# - cpp: Run the C++ Shower simulation
+# - compare: Run both the GAPS and C++ Shower and compare the results
+# - full: Run both the GAPS and C++ Shower for a range of event numbers
+
+# ------------------------------------------------------------------------------
+
+import argparse
+import os
+import shutil
+import subprocess
+
+# ------------------------------------------------------------------------------
+
+# Set up argument parser
+parser = argparse.ArgumentParser(description='Run GAPS or C++ Shower')
+parser.add_argument('-n', '--nevents', type=int, default=10000,
+ help='set the number of events (default: 10000)')
+parser.add_argument('-e', '--energy', type=float, default=91.2,
+ help='set the CoM energy of the system (default: 91.2)')
+parser.add_argument('-c', '--cores', type=int, default=1,
+ help='set the number of cores (default: 1)')
+parser.add_argument('-r', '--runtype', type=str, default='gaps',
+ help='set the run type (default: gaps, options: gaps, cpp, compare, full)')
+
+args = parser.parse_args()
+
+# ------------------------------------------------------------------------------
+# Compile code
+
+
+def compile(dir):
+ print(f'Compiling {dir}')
+ os.chdir(dir)
+ os.makedirs('build', exist_ok=True)
+ os.chdir('build')
+ subprocess.run(['cmake', '..'])
+ subprocess.run(['make', '-j', str(args.cores)])
+ os.chdir('../..')
+
+# ------------------------------------------------------------------------------
+# Run GAPS or C++ Shower
+
+
+def run(runtype, events, energy):
+ print(f'Running {runtype}')
+ subprocess.run([f'./{runtype}/bin/{runtype}', str(events), str(energy)])
+
+
+# ------------------------------------------------------------------------------
+# Compile and run based on runtype
+
+if args.runtype in ['gaps', 'compare', 'full']:
+ compile('gaps')
+
+if args.runtype in ['cpp', 'compare', 'full']:
+ compile('cpp-shower')
+
+if args.runtype in ['gaps', 'compare']:
+ run('gaps', args.nevents, args.energy)
+
+if args.runtype in ['cpp', 'compare']:
+ run('cpp-shower', args.nevents, args.energy)
+
+if args.runtype == 'full':
+ # Remove previous results and make folder
+ if os.path.exists('results'):
+ shutil.rmtree('results')
+ os.makedirs('results', exist_ok=True)
+
+ # Clear previous log files
+ if os.path.exists('cpp-time.dat'):
+ os.remove('cpp-time.dat')
+ if os.path.exists('gaps-time.dat'):
+ os.remove('gaps-time.dat')
+
+ # Run the comparison 100 times, for different number of events
+ neventsarray = [1, 2, 5, 10, 20, 50, 100, 200, 500, 1000, 2000,
+ 5000, 10000, 20000, 50000, 100000, 200000, 500000, 1000000]
+ for n in neventsarray:
+ # Run and store the output in a log file
+ for i in range(1, 101):
+ print(f"Running GAPS with {n} events")
+ subprocess.run(['./gaps/bin/gaps', str(n), str(args.energy)])
+ print(f"Running C++ Shower with {n} events")
+ subprocess.run(
+ ['./cpp-shower/bin/cpp-shower', str(n), str(args.energy)])
+
+ # Move the log files to the results directory
+ shutil.move('cpp-time.dat', 'results/')
+ shutil.move('gaps-time.dat', 'results/')
+ shutil.move('cpp.yoda', 'results/')
+ shutil.move('gaps.yoda', 'results/')
+
+# ------------------------------------------------------------------------------
diff --git a/gaps-1.1/test/SH-Tutorial.yoda b/gaps-1.1/test/SH-Tutorial.yoda
new file mode 100644
index 0000000..c902c96
--- /dev/null
+++ b/gaps-1.1/test/SH-Tutorial.yoda
@@ -0,0 +1,464 @@
+# BEGIN YODA_HISTO1D /gaps/log10y23
+Path=/gaps/log10y23
+ScaledBy=1.5213690739441659e-07
+Title=
+Type=Histo1D
+XLabel=
+YLabel=
+# Mean: -2.272216e+00
+# Area: 4.069205e+04
+# ID ID sumw sumw2 sumwx sumwx2 numEntries
+Total Total 4.069205e+04 1.736849e+04 -9.246111e+04 2.330336e+05 95336
+Underflow Underflow 1.707311e+00 7.287275e-01 -7.543883e+00 3.333822e+01 4
+Overflow Overflow 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# xlow xhigh sumw sumw2 sumwx sumwx2 numEntries
+-4.300000e+00 -4.260000e+00 4.268278e-01 1.821819e-01 -1.828374e+00 7.832089e+00 1
+-4.260000e+00 -4.220000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.220000e+00 -4.180000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.180000e+00 -4.140000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.140000e+00 -4.100000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.100000e+00 -4.060000e+00 4.268277e-01 1.821819e-01 -1.738981e+00 7.084955e+00 1
+-4.060000e+00 -4.020000e+00 8.536553e-01 3.643638e-01 -3.459724e+00 1.402169e+01 2
+-4.020000e+00 -3.980000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.980000e+00 -3.940000e+00 2.134138e+00 9.109094e-01 -8.460362e+00 3.353980e+01 5
+-3.940000e+00 -3.900000e+00 1.280483e+00 5.465456e-01 -5.011295e+00 1.961258e+01 3
+-3.900000e+00 -3.860000e+00 4.268278e+00 1.821819e+00 -1.652896e+01 6.400908e+01 10
+-3.860000e+00 -3.820000e+00 5.292663e+01 2.259055e+01 -2.030135e+02 7.787153e+02 124
+-3.820000e+00 -3.780000e+00 1.289020e+02 5.501893e+01 -4.898154e+02 1.861270e+03 302
+-3.780000e+00 -3.740000e+00 1.506702e+02 6.431020e+01 -5.664653e+02 2.129725e+03 353
+-3.740000e+00 -3.700000e+00 1.784140e+02 7.615203e+01 -6.637134e+02 2.469086e+03 418
+-3.700000e+00 -3.660000e+00 2.095724e+02 8.945131e+01 -7.710762e+02 2.837036e+03 491
+-3.660000e+00 -3.620000e+00 2.364626e+02 1.009288e+02 -8.606023e+02 3.132182e+03 554
+-3.620000e+00 -3.580000e+00 2.731697e+02 1.165964e+02 -9.832301e+02 3.539014e+03 640
+-3.580000e+00 -3.540000e+00 2.543893e+02 1.085804e+02 -9.056297e+02 3.224087e+03 596
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+-3.220000e+00 -3.180000e+00 4.759129e+02 2.031328e+02 -1.523220e+03 4.875321e+03 1115
+-3.180000e+00 -3.140000e+00 5.092055e+02 2.173430e+02 -1.608873e+03 5.083429e+03 1193
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+-1.020000e+00 -9.800000e-01 2.919502e+02 1.246124e+02 -2.920970e+02 2.922856e+02 684
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+-9.000000e-01 -8.600000e-01 2.364626e+02 1.009288e+02 -2.081998e+02 1.833470e+02 554
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+-8.200000e-01 -7.800000e-01 1.831091e+02 7.815603e+01 -1.465709e+02 1.173476e+02 429
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+-6.600000e-01 -6.200000e-01 1.109752e+02 4.736729e+01 -7.110283e+01 4.556981e+01 260
+-6.200000e-01 -5.800000e-01 8.493871e+01 3.625420e+01 -5.099670e+01 3.063068e+01 199
+-5.800000e-01 -5.400000e-01 6.530464e+01 2.787383e+01 -3.664402e+01 2.057112e+01 153
+-5.400000e-01 -5.000000e-01 3.073159e+01 1.311710e+01 -1.609667e+01 8.434279e+00 72
+-5.000000e-01 -4.600000e-01 2.560966e+00 1.093091e+00 -1.267354e+00 6.271989e-01 6
+-4.600000e-01 -4.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.200000e-01 -3.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.800000e-01 -3.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.400000e-01 -3.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# END YODA_HISTO1D
+
+# BEGIN YODA_HISTO1D /gaps/log10y34
+Path=/gaps/log10y34
+ScaledBy=1.5213690739441659e-07
+Title=
+Type=Histo1D
+XLabel=
+YLabel=
+# Mean: -2.955824e+00
+# Area: 3.505536e+04
+# ID ID sumw sumw2 sumwx sumwx2 numEntries
+Total Total 3.505536e+04 1.496260e+04 -1.036175e+05 3.185104e+05 82130
+Underflow Underflow 4.016449e+02 1.714332e+02 -1.905189e+03 9.121964e+03 941
+Overflow Overflow 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# xlow xhigh sumw sumw2 sumwx sumwx2 numEntries
+-4.300000e+00 -4.260000e+00 4.652422e+01 1.985783e+01 -1.991134e+02 8.521675e+02 109
+-4.260000e+00 -4.220000e+00 4.823153e+01 2.058655e+01 -2.044932e+02 8.670214e+02 113
+-4.220000e+00 -4.180000e+00 5.762174e+01 2.459455e+01 -2.421109e+02 1.017291e+03 135
+-4.180000e+00 -4.140000e+00 5.463395e+01 2.331928e+01 -2.271905e+02 9.447592e+02 128
+-4.140000e+00 -4.100000e+00 6.402415e+01 2.732729e+01 -2.637788e+02 1.086776e+03 150
+-4.100000e+00 -4.060000e+00 6.914609e+01 2.951346e+01 -2.822597e+02 1.152216e+03 162
+-4.060000e+00 -4.020000e+00 9.560940e+01 4.080874e+01 -3.862197e+02 1.560169e+03 224
+-4.020000e+00 -3.980000e+00 9.603623e+01 4.099093e+01 -3.841338e+02 1.536505e+03 225
+-3.980000e+00 -3.940000e+00 1.062801e+02 4.536329e+01 -4.208226e+02 1.666287e+03 249
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+# END YODA_HISTO1D
+
+# BEGIN YODA_HISTO1D /gaps/log10y45
+Path=/gaps/log10y45
+ScaledBy=1.5213690739441662e-07
+Title=
+Type=Histo1D
+XLabel=
+YLabel=
+# Mean: -3.322106e+00
+# Area: 2.626698e+04
+# ID ID sumw sumw2 sumwx sumwx2 numEntries
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+Overflow Overflow 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
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+-1.620000e+00 -1.580000e+00 5.975588e+00 2.550546e+00 -9.577661e+00 1.535178e+01 14
+-1.580000e+00 -1.540000e+00 2.134138e+00 9.109094e-01 -3.338561e+00 5.222807e+00 5
+-1.540000e+00 -1.500000e+00 4.268276e-01 1.821819e-01 -6.485781e-01 9.855350e-01 1
+-1.500000e+00 -1.460000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.460000e+00 -1.420000e+00 4.268278e-01 1.821819e-01 -6.229367e-01 9.091490e-01 1
+-1.420000e+00 -1.380000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.380000e+00 -1.340000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.340000e+00 -1.300000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.300000e+00 -1.260000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.260000e+00 -1.220000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.220000e+00 -1.180000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.180000e+00 -1.140000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.140000e+00 -1.100000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.100000e+00 -1.060000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.060000e+00 -1.020000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.020000e+00 -9.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.800000e-01 -9.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.400000e-01 -9.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.000000e-01 -8.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-8.600000e-01 -8.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-8.200000e-01 -7.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.800000e-01 -7.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.400000e-01 -7.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.000000e-01 -6.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-6.600000e-01 -6.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-6.200000e-01 -5.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.800000e-01 -5.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.400000e-01 -5.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.000000e-01 -4.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.600000e-01 -4.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.200000e-01 -3.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.800000e-01 -3.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.400000e-01 -3.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# END YODA_HISTO1D
+
+# BEGIN YODA_HISTO1D /gaps/log10y56
+Path=/gaps/log10y56
+ScaledBy=1.5213690739441659e-07
+Title=
+Type=Histo1D
+XLabel=
+YLabel=
+# Mean: -3.582652e+00
+# Area: 1.714780e+04
+# ID ID sumw sumw2 sumwx sumwx2 numEntries
+Total Total 1.714780e+04 7.319158e+03 -6.143460e+04 2.250285e+05 40175
+Underflow Underflow 1.466153e+03 6.257949e+02 -6.990336e+03 3.364129e+04 3435
+Overflow Overflow 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# xlow xhigh sumw sumw2 sumwx sumwx2 numEntries
+-4.300000e+00 -4.260000e+00 1.459751e+02 6.230620e+01 -6.248300e+02 2.674536e+03 342
+-4.260000e+00 -4.220000e+00 1.438409e+02 6.139530e+01 -6.098786e+02 2.585877e+03 337
+-4.220000e+00 -4.180000e+00 1.609140e+02 6.868257e+01 -6.756488e+02 2.836947e+03 377
+-4.180000e+00 -4.140000e+00 1.788408e+02 7.633421e+01 -7.438346e+02 3.093780e+03 419
+-4.140000e+00 -4.100000e+00 1.895115e+02 8.088876e+01 -7.807761e+02 3.216777e+03 444
+-4.100000e+00 -4.060000e+00 2.142675e+02 9.145530e+01 -8.741523e+02 3.566328e+03 502
+-4.060000e+00 -4.020000e+00 2.385967e+02 1.018397e+02 -9.638848e+02 3.893942e+03 559
+-4.020000e+00 -3.980000e+00 2.710356e+02 1.156855e+02 -1.084007e+03 4.335519e+03 635
+-3.980000e+00 -3.940000e+00 2.902428e+02 1.238837e+02 -1.149071e+03 4.549207e+03 680
+-3.940000e+00 -3.900000e+00 3.423158e+02 1.461099e+02 -1.341684e+03 5.258685e+03 802
+-3.900000e+00 -3.860000e+00 3.692060e+02 1.575873e+02 -1.431958e+03 5.553871e+03 865
+-3.860000e+00 -3.820000e+00 4.157302e+02 1.774452e+02 -1.595929e+03 6.126602e+03 974
+-3.820000e+00 -3.780000e+00 4.532910e+02 1.934772e+02 -1.722544e+03 6.545867e+03 1062
+-3.780000e+00 -3.740000e+00 5.207298e+02 2.222619e+02 -1.957939e+03 7.361898e+03 1220
+-3.740000e+00 -3.700000e+00 5.279859e+02 2.253590e+02 -1.963836e+03 7.304531e+03 1237
+-3.700000e+00 -3.660000e+00 5.809125e+02 2.479496e+02 -2.137552e+03 7.865511e+03 1361
+-3.660000e+00 -3.620000e+00 6.107904e+02 2.607023e+02 -2.223118e+03 8.091654e+03 1431
+-3.620000e+00 -3.580000e+00 6.419489e+02 2.740015e+02 -2.310580e+03 8.316597e+03 1504
+-3.580000e+00 -3.540000e+00 6.782292e+02 2.894870e+02 -2.414566e+03 8.596200e+03 1589
+-3.540000e+00 -3.500000e+00 6.598756e+02 2.816532e+02 -2.323104e+03 8.178621e+03 1546
+-3.500000e+00 -3.460000e+00 6.526196e+02 2.785561e+02 -2.270888e+03 7.901986e+03 1529
+-3.460000e+00 -3.420000e+00 6.419489e+02 2.740015e+02 -2.208415e+03 7.597416e+03 1504
+-3.420000e+00 -3.380000e+00 6.223148e+02 2.656211e+02 -2.116107e+03 7.195649e+03 1458
+-3.380000e+00 -3.340000e+00 5.941441e+02 2.535972e+02 -1.996645e+03 6.709884e+03 1392
+-3.340000e+00 -3.300000e+00 6.001198e+02 2.561478e+02 -1.992515e+03 6.615623e+03 1406
+-3.300000e+00 -3.260000e+00 5.241444e+02 2.237194e+02 -1.719456e+03 5.640746e+03 1228
+-3.260000e+00 -3.220000e+00 5.079250e+02 2.167964e+02 -1.645891e+03 5.333448e+03 1190
+-3.220000e+00 -3.180000e+00 4.652422e+02 1.985783e+02 -1.489004e+03 4.765612e+03 1090
+-3.180000e+00 -3.140000e+00 4.199985e+02 1.792670e+02 -1.327201e+03 4.194030e+03 984
+-3.140000e+00 -3.100000e+00 3.807303e+02 1.625062e+02 -1.188115e+03 3.707709e+03 892
+-3.100000e+00 -3.060000e+00 3.576816e+02 1.526684e+02 -1.101774e+03 3.393865e+03 838
+-3.060000e+00 -3.020000e+00 2.979258e+02 1.271630e+02 -9.060402e+02 2.755455e+03 698
+-3.020000e+00 -2.980000e+00 2.898160e+02 1.237015e+02 -8.696831e+02 2.609794e+03 679
+-2.980000e+00 -2.940000e+00 2.300601e+02 9.819604e+01 -6.810366e+02 2.016073e+03 539
+-2.940000e+00 -2.900000e+00 2.189626e+02 9.345930e+01 -6.394456e+02 1.867432e+03 513
+-2.900000e+00 -2.860000e+00 1.916456e+02 8.179966e+01 -5.520373e+02 1.590174e+03 449
+-2.860000e+00 -2.820000e+00 1.843896e+02 7.870257e+01 -5.235936e+02 1.486824e+03 432
+-2.820000e+00 -2.780000e+00 1.519507e+02 6.485676e+01 -4.254782e+02 1.191404e+03 356
+-2.780000e+00 -2.740000e+00 1.344507e+02 5.738730e+01 -3.711245e+02 1.024435e+03 315
+-2.740000e+00 -2.700000e+00 9.945085e+01 4.244838e+01 -2.705964e+02 7.362808e+02 233
+-2.700000e+00 -2.660000e+00 8.749969e+01 3.734729e+01 -2.346092e+02 6.290589e+02 205
+-2.660000e+00 -2.620000e+00 7.810947e+01 3.333929e+01 -2.063096e+02 5.449327e+02 183
+-2.620000e+00 -2.580000e+00 6.317050e+01 2.696292e+01 -1.641781e+02 4.267018e+02 148
+-2.580000e+00 -2.540000e+00 5.463395e+01 2.331928e+01 -1.398750e+02 3.581185e+02 128
+-2.540000e+00 -2.500000e+00 4.182911e+01 1.785382e+01 -1.054938e+02 2.660636e+02 98
+-2.500000e+00 -2.460000e+00 3.201207e+01 1.366364e+01 -7.941134e+01 1.969976e+02 75
+-2.460000e+00 -2.420000e+00 3.243890e+01 1.384582e+01 -7.923107e+01 1.935237e+02 76
+-2.420000e+00 -2.380000e+00 1.878042e+01 8.016003e+00 -4.505429e+01 1.080879e+02 44
+-2.380000e+00 -2.340000e+00 1.963407e+01 8.380367e+00 -4.635020e+01 1.094217e+02 46
+-2.340000e+00 -2.300000e+00 1.621945e+01 6.922911e+00 -3.761231e+01 8.722329e+01 38
+-2.300000e+00 -2.260000e+00 8.536554e+00 3.643638e+00 -1.947298e+01 4.442134e+01 20
+-2.260000e+00 -2.220000e+00 1.195117e+01 5.101093e+00 -2.675066e+01 5.987843e+01 28
+-2.220000e+00 -2.180000e+00 4.268277e+00 1.821819e+00 -9.384951e+00 2.063610e+01 10
+-2.180000e+00 -2.140000e+00 4.268277e+00 1.821819e+00 -9.226594e+00 1.994531e+01 10
+-2.140000e+00 -2.100000e+00 2.134138e+00 9.109094e-01 -4.530094e+00 9.616247e+00 5
+-2.100000e+00 -2.060000e+00 1.280483e+00 5.465456e-01 -2.671949e+00 5.575768e+00 3
+-2.060000e+00 -2.020000e+00 2.134138e+00 9.109094e-01 -4.345335e+00 8.847881e+00 5
+-2.020000e+00 -1.980000e+00 8.536554e-01 3.643638e-01 -1.705871e+00 3.408881e+00 2
+-1.980000e+00 -1.940000e+00 4.268276e-01 1.821819e-01 -8.388888e-01 1.648756e+00 1
+-1.940000e+00 -1.900000e+00 1.707311e+00 7.287275e-01 -3.273572e+00 6.277061e+00 4
+-1.900000e+00 -1.860000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.860000e+00 -1.820000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.820000e+00 -1.780000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.780000e+00 -1.740000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.740000e+00 -1.700000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.700000e+00 -1.660000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.660000e+00 -1.620000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.620000e+00 -1.580000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.580000e+00 -1.540000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.540000e+00 -1.500000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.500000e+00 -1.460000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.460000e+00 -1.420000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.420000e+00 -1.380000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.380000e+00 -1.340000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.340000e+00 -1.300000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.300000e+00 -1.260000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.260000e+00 -1.220000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.220000e+00 -1.180000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.180000e+00 -1.140000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.140000e+00 -1.100000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.100000e+00 -1.060000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.060000e+00 -1.020000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-1.020000e+00 -9.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.800000e-01 -9.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.400000e-01 -9.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-9.000000e-01 -8.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-8.600000e-01 -8.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-8.200000e-01 -7.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.800000e-01 -7.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.400000e-01 -7.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-7.000000e-01 -6.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-6.600000e-01 -6.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-6.200000e-01 -5.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.800000e-01 -5.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.400000e-01 -5.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-5.000000e-01 -4.600000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.600000e-01 -4.200000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-4.200000e-01 -3.800000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.800000e-01 -3.400000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+-3.400000e-01 -3.000000e-01 0.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 0
+# END YODA_HISTO1D
+
diff --git a/gaps-1.1/test/completedevents.sh b/gaps-1.1/test/completedevents.sh
new file mode 100644
index 0000000..938aa46
--- /dev/null
+++ b/gaps-1.1/test/completedevents.sh
@@ -0,0 +1,25 @@
+# Algorithm to get all the completed events data
+# Not really worth putting in rungaps, so in Test
+
+# Move to the root directory
+cd ..
+
+# Remove the old and make the new results directory
+rm -rf results
+mkdir -p results
+
+# Run for 1000, 10000, 100000 events and get results
+for i in 1000 10000 100000
+do
+ echo "Running for $i events"
+ # Run the algorithm
+ ./bin/gaps $i
+ mv gaps-cycles.dat results/gaps-cycles-$i.dat
+done
+
+# For 1000000 events, profile and store the results
+echo "Running for 1000000 events"
+# Run the algorithm
+nsys profile --stats=true ./bin/gaps 1000000 > profile.log
+mv gaps-cycles.dat results/gaps-cycles-1000000.dat
+mv profile.log results/profile.log
\ No newline at end of file
diff --git a/gaps-1.1/test/mplstyleerc b/gaps-1.1/test/mplstyleerc
new file mode 100644
index 0000000..6297440
--- /dev/null
+++ b/gaps-1.1/test/mplstyleerc
@@ -0,0 +1,21 @@
+# To match with LaTeX Paper
+font.family: serif
+font.serif: Times New Roman
+font.size: 7
+font.weight: 400
+text.usetex: True
+text.latex.preamble: \usepackage{amsmath}
+mathtext.fontset: cm
+mathtext.rm: Times New Roman
+mathtext.it: Times New Roman:italic
+mathtext.bf: Times New Roman:bold
+mathtext.cal: Times New Roman:caligraphic
+
+# Common settings
+axes.titlesize: 12
+axes.labelsize: 10
+
+# Savefig settings
+savefig.bbox: tight
+savefig.pad_inches: 0.1
+
diff --git a/gaps-1.1/test/plot-completedevents.py b/gaps-1.1/test/plot-completedevents.py
new file mode 100644
index 0000000..702c9b1
--- /dev/null
+++ b/gaps-1.1/test/plot-completedevents.py
@@ -0,0 +1,62 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+
+import matplotlib as mpl
+mpl.rc_file("mplstyleerc")
+
+# Plotting Number of Completed Events per cycle and Number of newly Completed
+# Events per cycle
+
+# Plot
+fig, ax = plt.subplots(1, 2, figsize=(9, 3.75))
+
+nev = [1000, 10000, 100000, 1000000]
+
+for n in nev:
+
+ filename = "../results-events/gaps-cycles-" + str(n)
+
+ temp = np.genfromtxt(filename + ".dat", delimiter='\n')
+ temp /= n # Divide by number of events
+
+ comp = np.zeros((200))
+ diff = np.zeros((200))
+ max = 0
+
+ comp[:len(temp)] = temp
+ comp[len(temp):] = temp[-1]
+
+ for i in range(1, len(temp) - 1):
+
+ diff[i] = temp[i] - temp[i-1]
+
+ if len(temp) > max:
+ max = len(temp)
+
+ comp = comp[:max]
+ comp = np.append(comp, 0.)
+
+ diff = diff[:max]
+ diff = np.append(diff, 0.)
+
+ cycles = np.arange(1, len(comp) + 1)
+
+ ax[0].scatter(cycles, comp, label=str(n) + ' Events ')
+ ax[0].plot(cycles, comp, alpha=0.5)
+ ax[0].set_xlabel('Cycle')
+ ax[0].set_ylabel('Number of Completed Events / Total')
+ ax[0].set_title('Number of Completed Events per Cycle')
+ ax[0].legend()
+ ax[0].grid(True)
+
+ ax[1].scatter(cycles, diff, label=str(n) + ' Events ')
+ ax[1].plot(cycles, diff, alpha=0.5)
+ ax[1].set_xlabel('Cycle')
+ ax[1].set_ylabel('Number of Newly Completed Events / Total')
+ ax[1].set_title('Number of Newly Completed Events per Cycle')
+ ax[1].legend()
+ ax[1].grid(True)
+
+fig.tight_layout()
+plt.savefig("completedEvents.pdf")
diff --git a/gaps-1.1/test/plot-executiontime.py b/gaps-1.1/test/plot-executiontime.py
new file mode 100644
index 0000000..5e561d3
--- /dev/null
+++ b/gaps-1.1/test/plot-executiontime.py
@@ -0,0 +1,147 @@
+import numpy as np
+import matplotlib.pyplot as plt
+import pandas as pd
+from scipy.stats import iqr
+
+import matplotlib as mpl
+mpl.rc_file("mplstyleerc")
+
+# Data to plot
+nev = np.array([1, 2, 5, 10, 20, 50, 100, 200, 500, 1000,
+ 2000, 5000, 10000, 20000, 50000,
+ 100000, 200000, 500000, 1000000])
+
+# Params
+nreps = 100
+
+dir_to_results = "../results-times/"
+
+# import data
+cpp_full = np.genfromtxt(dir_to_results + "cpp-time.dat", delimiter=',')
+cud_full = np.genfromtxt(dir_to_results + "gaps-time.dat", delimiter=',')
+
+# Calculate the average and standard deviation for all repetitions
+cpp_median = np.zeros((len(nev), 4))
+cud_median = np.zeros((len(nev), 4))
+
+cpp_iqr = np.zeros((len(nev), 4))
+cud_iqr = np.zeros((len(nev), 4))
+
+for i in range(len(nev)):
+
+ """
+ # To Check if there are any outliers
+ if nev[i] == 5000:
+ print(cud_full[i*nreps:i*nreps+nreps])
+
+ fig, ax = plt.subplots()
+ ax.hist(cud_full[i*nreps:i*nreps+nreps, 0], bins=50)
+ fig.savefig("histo.pdf")
+ """
+
+ cpp_median[i] = np.median(cpp_full[i*nreps:i*nreps+nreps], axis=0)
+ cud_median[i] = np.median(cud_full[i*nreps:i*nreps+nreps], axis=0)
+
+ cpp_iqr[i] = iqr(cpp_full[i*nreps:i*nreps+nreps], axis=0)
+ cud_iqr[i] = iqr(cud_full[i*nreps:i*nreps+nreps], axis=0)
+
+cpp = cpp_median
+cud = cud_median
+
+# Convert the arrays to pandas DataFrames for easier printing
+columns_lin = ['Matrix Element', 'Parton Shower', 'Observables', 'Total']
+cpp_df = pd.DataFrame(cpp, index=nev, columns=columns_lin)
+cud_df = pd.DataFrame(cud, index=nev, columns=columns_lin)
+
+# Calculate the ratios and convert to integer
+cpp_cud_ratio = (cpp / cud)
+
+# Convert the ratio arrays to DataFrame
+cpp_cud_ratio_df = pd.DataFrame(cpp_cud_ratio, index=nev, columns=columns_lin)
+
+# Print the DataFrame
+print("CPU / GPU Ratio for different Number of Events:")
+print(cpp_cud_ratio_df)
+print("\n")
+
+# Initialize p as a 3D array
+p = np.zeros((2, 2, 2))
+
+# Define the labels for printing
+labels = ["GPU Matrix Element Gradient", "GPU Parton Shower Gradient",
+ "GPU Observables Gradient", "GPU Total Gradient"]
+
+# Loop over the columns - to prevent lots of repeated statements
+"""
+For i = 0, i // 2 is 0 and i % 2 is 0.
+For i = 1, i // 2 is 0 and i % 2 is 1.
+For i = 2, i // 2 is 1 and i % 2 is 0.
+For i = 3, i // 2 is 1 and i % 2 is 1.
+
+Kept it here because I thought it was a neat way of doing loops!
+"""
+for i in range(4):
+
+ # Linea Fit
+ p1, c1 = np.polyfit(np.log(nev[14:]), np.log(cud[14:, i]), 1, cov=True)
+
+ # Linear Fit
+ p[i//2, i % 2, :] = p1
+
+ # Print the results
+ print(labels[i], ":", round(p1[0], 3), "±", round(np.sqrt(c1[0, 0]), 3))
+
+# print(p)
+
+# Create a new figure with a 4x2 grid of subplots
+fig, axs = plt.subplots(2, 2, figsize=(10, 6.4))
+
+# Define the column names
+columns = [['Matrix Element', 'Parton Shower'], ['Observables', 'Total']]
+
+# Add this line to adjust the space between subplots
+fig.subplots_adjust(wspace=1, hspace=1)
+
+# Add linspace for the linear fit
+x = np.linspace(40000, 1300000, 1000)
+
+# Loop over the columns and plot the data
+for i in range(2):
+ for j in range(2):
+ ax = axs[i, j]
+ cpp_errorbar = ax.errorbar(
+ nev, cpp[:, 2*i + j], yerr=cpp_iqr[:, 2*i + j], fmt='o', color='C0')
+ cud_errorbar = ax.errorbar(
+ nev, cud[:, 2*i + j], yerr=cud_iqr[:, 2*i + j], fmt='o', color='C2')
+ cpp_plot = ax.plot(nev, cpp[:, 2*i + j], color='C0', alpha=0.3)
+ cud_plot = ax.plot(nev, cud[:, 2*i + j], color='C2', alpha=0.3)
+ fit_plot = ax.plot(x, np.exp(p[i, j, 1]) * x**p[i, j, 0], color='C1',
+ linestyle='--')
+
+ ax.set_xscale('log')
+ ax.set_yscale('log')
+ ax.set_xlabel('Number of events')
+ ax.set_ylabel('Execution time (s)')
+ ax.set_title(columns[i][j])
+ ax.grid(True)
+
+ # Add a vertical line
+ ax.axvline(x=5120, color='C2', linestyle='--')
+
+ # Create a proxy artist for the axvline to use in the legend
+ v100_gpu_cores_line = mpl.lines.Line2D(
+ [], [], color='C2', label="V100 GPU Cores")
+
+ # Create a list of handles and labels manually, including the proxy artist
+ handles = [cpp_errorbar, cud_errorbar,
+ v100_gpu_cores_line, fit_plot[0]]
+ labels = ['CPU', 'GPU', "V100 GPU Cores",
+ "Linear Fit, Gradient = " + str(round(p[i, j, 0], 2))]
+
+ # Add the legend with the updated handles and labels
+ ax.legend(handles, labels)
+
+ ax.legend(handles, labels)
+
+fig.tight_layout()
+plt.savefig('executionTime.pdf')
diff --git a/gaps-1.1/test/plots.conf b/gaps-1.1/test/plots.conf
new file mode 100644
index 0000000..00b8bcf
--- /dev/null
+++ b/gaps-1.1/test/plots.conf
@@ -0,0 +1,88 @@
+# BEGIN PLOT /.*
+LegendXPos=0.74
+LegendYPos=0.95
+# END PLOT
+
+# BEGIN PLOT /gaps/log10y23
+Title=Differential $2 \to 3$ jet resolution (Durham algorithm) at 91.2 GeV
+XLabel=$\log_{10}(y_{23})$
+YLabel=$\text{d}\sigma/\text{d}\log_{10}(y_{23})$
+LegendXPos=0.7
+LegendYPos=0.95
+XMin=-4
+XMax=-0.4
+YMin=4e2
+# END PLOT
+
+# BEGIN PLOT /gaps/log10y34
+Title=Differential $3 \to 4$ jet resolution (Durham algorithm) at 91.2 GeV
+XLabel=$\log_{10}(y_{34})$
+YLabel=$\text{d}\sigma/\text{d}\log_{10}(y_{34})$
+XMin=-4
+XMax=-0.8
+# END PLOT
+
+# BEGIN PLOT /gaps/log10y45
+Title=Differential $4 \to 5$ jet resolution (Durham algorithm) at 91.2 GeV
+XLabel=$\log_{10}(y_{45})$
+YLabel=$\text{d}\sigma/\text{d}\log_{10}(y_{45})$
+XMin=-4
+XMax=-1.2
+# END PLOT
+
+# BEGIN PLOT /gaps/log10y56
+Title=Differential $5 \to 6$ jet resolution (Durham algorithm) at 91.2 GeV
+XLabel=$\log_{10}(y_{56})$
+YLabel=$\text{d}\sigma/\text{d}\log_{10}(y_{56})$
+XMin=-4
+XMax=-1.6
+# END PLOT
+
+# BEGIN PLOT /gaps/tvalue
+Title=Thrust $(1 - T)$ at 91.2 GeV
+XLabel=$1 - T$
+YLabel=$\text{d}\sigma/\text{d}(1 - T)$
+# END PLOT
+
+# BEGIN PLOT /gaps/tzoomd
+Title=Thrust $(1 - T)$ at 91.2 GeV - zoomed in
+XLabel=$1 - T$
+YLabel=$\text{d}\sigma/\text{d}(1 - T)$
+XMin=0
+XMax=0.1
+# END PLOT
+
+# BEGIN PLOT /gaps/hjm
+Title=Heavy Jet Mass at 91.2 GeV
+XLabel=$\rho_H$
+YLabel=$\text{d}\sigma/\text{d}\rho_H$
+XMax=0.65
+# END PLOT
+
+# BEGIN PLOT /gaps/ljm
+Title=Light Jet Mass at 91.2 GeV
+XLabel=$\rho_L$
+YLabel=$\text{d}\sigma/\text{d}\rho_L$
+XMin=0
+XMax=0.4
+# END PLOT
+
+# BEGIN PLOT /gaps/wjb
+Title=Wide Jet Broadening at 91.2 GeV
+XLabel=$B_W$
+YLabel=$\text{d}\sigma/\text{d}B_W$
+XMax=0.3
+# END PLOT
+
+# BEGIN PLOT /gaps/njb
+Title=Narrow Jet Broadening at 91.2 GeV
+XLabel=$B_N$
+YLabel=$\text{d}\sigma/\text{d}B_N$
+# END PLOT
+
+# BEGIN PLOT /gaps/dalitz
+Title=Dalitz plot at 91.2 GeV
+XLabel=$x_1$
+YLabel=$x_2$
+PlotSize=8,8
+# END PLOT
\ No newline at end of file
diff --git a/gaps-1.1/test/rivet-command.sh b/gaps-1.1/test/rivet-command.sh
new file mode 100644
index 0000000..1d504d6
--- /dev/null
+++ b/gaps-1.1/test/rivet-command.sh
@@ -0,0 +1,6 @@
+# Command to Make Plots of Jet and Event Shapes
+# Write something similar in the terminal
+rivet-mkhtml -s --mc-errs -c plots.conf \
+ ../cpp.yoda:"C++" \
+ ../gaps.yoda:"GAPS" \
+ SH-Tutorial.yoda:"S. H." \
\ No newline at end of file
--
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