From 3aff02ba4fcc8cd4bb791eede0125a919e7dd085 Mon Sep 17 00:00:00 2001
From: Sebouh Paul <sebouh.paul@gmail.com>
Date: Sun, 25 Aug 2024 10:32:17 -0400
Subject: [PATCH] Sigma zdc (#20)
* added sigma generator script
* require lambda decay to occur before ZDC when generating sigma0 events
* Update gen_sigma_decay.cxx
* added Snakefile; benchmakr.json
* added sigma to global snakefile
* updated snake file to use the results directory
* updated sigma_plots.py
* use sim_output instead of results for large files
* Update benchmarks/sigma/config.yml
Co-authored-by: Wouter Deconinck <wdconinc@gmail.com>
* Update sigma_plots.py
* Update .gitlab-ci.yml
* Update .gitlab-ci.yml
* Update sigma_plots.py
* Update config.yml
increased time limit
* Update Snakefile
removed / (not sure if this will change anything
* removed hardcoded config in sigma_plots.py
* added a space at the end of one line. idk if this fixes anything
---------
Co-authored-by: Wouter Deconinck <wdconinc@gmail.com>
---
.gitlab-ci.yml | 2 +
Snakefile | 1 +
benchmarks/sigma/Snakefile | 64 +
benchmarks/sigma/analysis/gen_sigma_decay.cxx | 305 +
benchmarks/sigma/analysis/sigma_plots.py | 480 +
benchmarks/sigma/benchmark.json | 6 +
benchmarks/sigma/config.yml | 34 +
benchmarks/sigma/sigma_decay.hepmc | 64159 ++++++++++++++++
8 files changed, 65051 insertions(+)
create mode 100644 benchmarks/sigma/Snakefile
create mode 100644 benchmarks/sigma/analysis/gen_sigma_decay.cxx
create mode 100644 benchmarks/sigma/analysis/sigma_plots.py
create mode 100644 benchmarks/sigma/benchmark.json
create mode 100644 benchmarks/sigma/config.yml
create mode 100644 benchmarks/sigma/sigma_decay.hepmc
diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index 2ced7dee..ae8c71fc 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -120,6 +120,7 @@ include:
#- local: 'benchmarks/dvmp/config.yml'
- local: 'benchmarks/dvcs/config.yml'
- local: 'benchmarks/lambda/config.yml'
+ - local: 'benchmarks/sigma/config.yml'
- local: 'benchmarks/tcs/config.yml'
- local: 'benchmarks/u_omega/config.yml'
- local: 'benchmarks/single/config.yml'
@@ -133,6 +134,7 @@ summary:
- "dis:results"
- "dvcs:results"
- "lambda:results"
+ - "sigma:results"
- "tcs:results"
- "u_omega:results"
- "single:results"
diff --git a/Snakefile b/Snakefile
index 1825ce1a..c11b5879 100644
--- a/Snakefile
+++ b/Snakefile
@@ -44,3 +44,4 @@ include: "benchmarks/diffractive_vm/Snakefile"
include: "benchmarks/dis/Snakefile"
include: "benchmarks/lambda/Snakefile"
include: "benchmarks/demp/Snakefile"
+include: "benchmarks/sigma/Snakefile"
\ No newline at end of file
diff --git a/benchmarks/sigma/Snakefile b/benchmarks/sigma/Snakefile
new file mode 100644
index 00000000..cbafed6b
--- /dev/null
+++ b/benchmarks/sigma/Snakefile
@@ -0,0 +1,64 @@
+rule sigma_generate:
+ input:
+ script="benchmarks/sigma/analysis/gen_sigma_decay.cxx",
+ params:
+ NEVENTS_GEN=100000,
+ output:
+ GEN_FILE="sim_output/sigma/sigma_decay_{P}GeV.hepmc"
+ shell:
+ """
+mkdir -p results/sigma
+root -l -b -q '{input.script}({params.NEVENTS_GEN},0,"{output.GEN_FILE}",{wildcards.P},{wildcards.P})'
+"""
+
+rule sigma_simulate:
+ input:
+ GEN_FILE="sim_output/sigma/sigma_decay_{P}GeV.hepmc"
+ params:
+ PHYSICS_LIST="FTFP_BERT"
+ output:
+ SIM_FILE="sim_output/sigma/{DETECTOR_CONFIG}_sim_sigma_dec_{P}GeV.edm4hep.root"
+ shell:
+ """
+if [[ {wildcards.P} -gt 225 ]]; then
+ NEVENTS_SIM=1000
+else
+ NEVENTS_SIM=1000
+fi
+# Running simulation
+npsim \
+ --compactFile $DETECTOR_PATH/{wildcards.DETECTOR_CONFIG}.xml \
+ --numberOfEvents $NEVENTS_SIM \
+ --physicsList {params.PHYSICS_LIST} \
+ --inputFiles {input.GEN_FILE} \
+ --outputFile {output.SIM_FILE}
+"""
+
+rule sigma_recon:
+ input:
+ SIM_FILE="sim_output/sigma/{DETECTOR_CONFIG}_sim_sigma_dec_{P}GeV.edm4hep.root"
+ output:
+ REC_FILE="sim_output/sigma/{DETECTOR_CONFIG}_rec_sigma_dec_{P}GeV.edm4hep.root"
+ shell:
+ """
+if [[ {wildcards.P} -gt 225 ]]; then
+ NEVENTS_REC=1000
+else
+ NEVENTS_REC=1000
+fi
+eicrecon {input.SIM_FILE} -Ppodio:output_file={output.REC_FILE} -Pdd4hep:xml_files=$DETECTOR_PATH/{wildcards.DETECTOR_CONFIG}.xml -Ppodio:output_collections=MCParticles,HcalFarForwardZDCClusters,HcalFarForwardZDCRecHits,HcalFarForwardZDCSubcellHits -Pjana:nevents=$NEVENTS_REC
+"""
+
+rule sigma_analysis:
+ input:
+ expand("sim_output/sigma/{DETECTOR_CONFIG}_rec_sigma_dec_{P}GeV.edm4hep.root",
+ P=[100, 125, 150,175, 200, 225, 250, 275],
+ DETECTOR_CONFIG=["{DETECTOR_CONFIG}"]),
+ script="benchmarks/sigma/analysis/sigma_plots.py",
+ output:
+ results_dir=directory("results/{DETECTOR_CONFIG}/sigma"),
+ shell:
+ """
+mkdir -p {output.results_dir}
+python {input.script} {output.results_dir}
+"""
diff --git a/benchmarks/sigma/analysis/gen_sigma_decay.cxx b/benchmarks/sigma/analysis/gen_sigma_decay.cxx
new file mode 100644
index 00000000..4da92801
--- /dev/null
+++ b/benchmarks/sigma/analysis/gen_sigma_decay.cxx
@@ -0,0 +1,305 @@
+#include "HepMC3/GenEvent.h"
+#include "HepMC3/ReaderAscii.h"
+#include "HepMC3/WriterAscii.h"
+#include "HepMC3/Print.h"
+
+#include "TRandom3.h"
+#include "TVector3.h"
+
+#include <TDatabasePDG.h>
+#include <TParticlePDG.h>
+
+#include <iostream>
+#include <random>
+#include <TMath.h>
+
+using namespace HepMC3;
+
+std::tuple<double, int, double> GetParticleInfo(TDatabasePDG* pdg, TString particle_name)
+{
+ TParticlePDG *particle = pdg->GetParticle(particle_name);
+ const double mass = particle->Mass();
+ const int pdgID = particle->PdgCode();
+ const double lifetime = particle->Lifetime();
+ return std::make_tuple(mass, pdgID, lifetime);
+}
+// Calculates the decay length of a particle. Samples from an exponential decay.
+double GetDecayLength(TRandom3* r1, double lifetime, double mass, double momentum_magnitude)
+{
+ double c_speed = TMath::C() * 1000.; // speed of light im mm/sec
+ double average_decay_length = (momentum_magnitude/mass) * lifetime * c_speed;
+ return r1->Exp(average_decay_length);
+}
+
+// Generate single sigma baryons and decay them to a neutron + 2 photons
+void gen_sigma_decay(int n_events = 100000, UInt_t seed = 0, char* out_fname = "sigma_decay.hepmc",
+ double p_min = 100., // in GeV/c
+ double p_max = 275.) // in GeV/c
+{
+ int accepted_events=0;
+ const double theta_min = 0.0; // in mRad
+ const double theta_max = 3.0; // in mRad
+ //const double p_min = 100.; // in GeV/c
+ //const double p_max = 275.; // in GeV/c
+
+ WriterAscii hepmc_output(out_fname);
+ int events_parsed = 0;
+ GenEvent evt(Units::GEV, Units::MM);
+
+ // Random number generator
+ TRandom3 *r1 = new TRandom3(seed); //Default = 0, which uses clock to set seed
+ cout<<"Random number seed is "<<r1->GetSeed()<<"!"<<endl;
+
+ // Getting generated particle information
+ TDatabasePDG *pdg = new TDatabasePDG();
+
+ auto sigma_info = GetParticleInfo(pdg, "Sigma0");
+ double sigma_mass = std::get<0>(sigma_info);
+ int sigma_pdgID = std::get<1>(sigma_info);
+ double sigma_lifetime = std::get<2>(sigma_info);
+
+ auto lambda_info = GetParticleInfo(pdg, "Lambda0");
+ double lambda_mass = std::get<0>(lambda_info);
+ int lambda_pdgID = std::get<1>(lambda_info);
+ double lambda_lifetime = std::get<2>(lambda_info);
+
+ auto neutron_info = GetParticleInfo(pdg, "neutron");
+ double neutron_mass = std::get<0>(neutron_info);
+ int neutron_pdgID = std::get<1>(neutron_info);
+
+ auto pi0_info = GetParticleInfo(pdg, "pi0");
+ double pi0_mass = std::get<0>(pi0_info);
+ int pi0_pdgID = std::get<1>(pi0_info);
+ double pi0_lifetime = std::get<2>(pi0_info);
+
+ auto photon_info = GetParticleInfo(pdg, "gamma");
+ double photon_mass = std::get<0>(photon_info);
+ int photon_pdgID = std::get<1>(photon_info);
+
+ for (events_parsed = 0; events_parsed < n_events; events_parsed++) {
+
+ //Set the event number
+ evt.set_event_number(events_parsed);
+
+ // FourVector(px,py,pz,e,pdgid,status)
+ // type 4 is beam
+ // pdgid 11 - electron
+ // pdgid 2212 - proton
+ GenParticlePtr p1 =
+ std::make_shared<GenParticle>(FourVector(0.0, 0.0, 10.0, 10.0), 11, 4);
+ GenParticlePtr p2 = std::make_shared<GenParticle>(
+ FourVector(0.0, 0.0, 0.0, 0.938), 2212, 4);
+
+ // Define momentum with respect to EIC proton beam direction
+ Double_t sigma_p = r1->Uniform(p_min, p_max);
+ Double_t sigma_phi = r1->Uniform(0.0, 2.0 * M_PI);
+ Double_t sigma_th = r1->Uniform(theta_min/1000., theta_max/1000.); // Divide by 1000 for radians
+ Double_t sigma_px = sigma_p * TMath::Cos(sigma_phi) * TMath::Sin(sigma_th);
+ Double_t sigma_py = sigma_p * TMath::Sin(sigma_phi) * TMath::Sin(sigma_th);
+ Double_t sigma_pz = sigma_p * TMath::Cos(sigma_th);
+ Double_t sigma_E = TMath::Sqrt(sigma_p*sigma_p + sigma_mass*sigma_mass);
+
+
+ TVector3 sigma_pvec(sigma_px, sigma_py, sigma_pz);
+
+ double cross_angle = -25./1000.; // in Rad
+ TVector3 pbeam_dir(TMath::Sin(cross_angle), 0, TMath::Cos(cross_angle)); //proton beam direction
+ sigma_pvec.RotateY(cross_angle); // Theta is returned positive, beam in negative X
+
+ // type 2 is state that will decay
+ GenParticlePtr p_sigma = std::make_shared<GenParticle>(
+ FourVector(sigma_pvec.X(), sigma_pvec.Y(), sigma_pvec.Z(), sigma_E), sigma_pdgID, 2 );
+ // Generating sigma particle, will be generated at origin
+ // Must have input electron + proton for vertex
+ GenVertexPtr sigma_initial_vertex = std::make_shared<GenVertex>();
+ sigma_initial_vertex->add_particle_in(p1);
+ sigma_initial_vertex->add_particle_in(p2);
+ sigma_initial_vertex->add_particle_out(p_sigma);
+ evt.add_vertex(sigma_initial_vertex);
+
+ // Generate lambda + gamma in sigma rest frame
+ TLorentzVector lambda_rest, gamma_rest;
+
+ // Generating uniformly along a sphere
+ double cost_lambda_rest = r1->Uniform(-1,1);
+ double th_lambda_rest = TMath::ACos(cost_lambda_rest);
+ double sint_lambda_rest = TMath::Sin(th_lambda_rest);
+
+ double phi_lambda_rest = r1->Uniform(-1.*TMath::Pi(),1.*TMath::Pi());
+ double cosp_lambda_rest = TMath::Cos(phi_lambda_rest);
+ double sinp_lambda_rest = TMath::Sin(phi_lambda_rest);
+
+ // Calculate energy of each particle in the sigma rest frame
+ // See problem 3.19 in Introduction to Elementary Particles, 2nd edition by D. Griffiths
+ double E_lambda_rest = (-TMath::Power(photon_mass, 2.) + TMath::Power(sigma_mass, 2.) + TMath::Power(lambda_mass, 2.) ) / (2. * sigma_mass) ;
+ double E_gamma_rest = (-TMath::Power(lambda_mass, 2.) + TMath::Power(sigma_mass, 2.) + TMath::Power(photon_mass, 2.) ) / (2. * sigma_mass) ;
+
+ // Both particles will have the same momentum, so just use lambda variables
+ double momentum_rest = TMath::Sqrt( E_lambda_rest*E_lambda_rest - lambda_mass*lambda_mass );
+
+ lambda_rest.SetE(E_lambda_rest);
+ lambda_rest.SetPx( momentum_rest * sint_lambda_rest * cosp_lambda_rest );
+ lambda_rest.SetPy( momentum_rest * sint_lambda_rest * sinp_lambda_rest );
+ lambda_rest.SetPz( momentum_rest * cost_lambda_rest );
+
+ gamma_rest.SetE(E_gamma_rest);
+ gamma_rest.SetPx( -lambda_rest.Px() );
+ gamma_rest.SetPy( -lambda_rest.Py() );
+ gamma_rest.SetPz( -lambda_rest.Pz() );
+
+ // Boost lambda & pion to lab frame
+ TLorentzVector sigma_lab(sigma_pvec.X(), sigma_pvec.Y(), sigma_pvec.Z(), sigma_E);
+ TVector3 sigma_boost = sigma_lab.BoostVector();
+ TLorentzVector lambda_lab, gamma_lab;
+ lambda_lab = lambda_rest;
+ lambda_lab.Boost(sigma_boost);
+ gamma_lab = gamma_rest;
+ gamma_lab.Boost(sigma_boost);
+
+ // Calculating position for sigma decay
+ TVector3 sigma_unit = sigma_lab.Vect().Unit();
+ double sigma_decay_length = GetDecayLength(r1, sigma_lifetime, sigma_mass, sigma_lab.P());
+ TVector3 sigma_decay_position = sigma_unit * sigma_decay_length;
+ double sigma_decay_time = sigma_decay_length / sigma_lab.Beta() ; // Decay time in lab frame in length units (mm)
+
+ // Generating vertex for sigma decay
+ GenParticlePtr p_lambda = std::make_shared<GenParticle>(
+ FourVector(lambda_lab.Px(), lambda_lab.Py(), lambda_lab.Pz(), lambda_lab.E()), lambda_pdgID, 2 );
+
+ GenParticlePtr p_gamma = std::make_shared<GenParticle>(
+ FourVector(gamma_lab.Px(), gamma_lab.Py(), gamma_lab.Pz(), gamma_lab.E()), photon_pdgID, 1 );
+
+ GenVertexPtr v_sigma_decay = std::make_shared<GenVertex>(FourVector(sigma_decay_position.X(), sigma_decay_position.Y(), sigma_decay_position.Z(), sigma_decay_time));
+ v_sigma_decay->add_particle_in(p_sigma);
+ v_sigma_decay->add_particle_out(p_lambda);
+ v_sigma_decay->add_particle_out(p_gamma);
+
+ evt.add_vertex(v_sigma_decay);
+
+ // Generate neutron + pi0 in lambda rest frame
+ TLorentzVector neutron_rest, pi0_rest;
+
+ // Generating uniformly along a sphere
+ double cost_neutron_rest = r1->Uniform(-1,1);
+ double th_neutron_rest = TMath::ACos(cost_neutron_rest);
+ double sint_neutron_rest = TMath::Sin(th_neutron_rest);
+
+ double phi_neutron_rest = r1->Uniform(-1.*TMath::Pi(),1.*TMath::Pi());
+ double cosp_neutron_rest = TMath::Cos(phi_neutron_rest);
+ double sinp_neutron_rest = TMath::Sin(phi_neutron_rest);
+
+ // Calculate energy of each particle in the lambda rest frame
+ // See problem 3.19 in Introduction to Elementary Particles, 2nd edition by D. Griffiths
+ double E_neutron_rest = (-TMath::Power(pi0_mass, 2.) + TMath::Power(lambda_mass, 2.) + TMath::Power(neutron_mass, 2.) ) / (2. * lambda_mass) ;
+ double E_pi0_rest = (-TMath::Power(neutron_mass, 2.) + TMath::Power(lambda_mass, 2.) + TMath::Power(pi0_mass, 2.) ) / (2. * lambda_mass) ;
+
+ // Both particles will have the same momentum, so just use neutron variables
+ momentum_rest = TMath::Sqrt( E_neutron_rest*E_neutron_rest - neutron_mass*neutron_mass );
+
+ neutron_rest.SetE(E_neutron_rest);
+ neutron_rest.SetPx( momentum_rest * sint_neutron_rest * cosp_neutron_rest );
+ neutron_rest.SetPy( momentum_rest * sint_neutron_rest * sinp_neutron_rest );
+ neutron_rest.SetPz( momentum_rest * cost_neutron_rest );
+
+ pi0_rest.SetE(E_pi0_rest);
+ pi0_rest.SetPx( -neutron_rest.Px() );
+ pi0_rest.SetPy( -neutron_rest.Py() );
+ pi0_rest.SetPz( -neutron_rest.Pz() );
+
+ // Boost neutron & pion to lab frame
+ TVector3 lambda_boost = lambda_lab.BoostVector();
+ TLorentzVector neutron_lab, pi0_lab;
+ neutron_lab = neutron_rest;
+ neutron_lab.Boost(lambda_boost);
+ pi0_lab = pi0_rest;
+ pi0_lab.Boost(lambda_boost);
+
+ // Calculating position for lambda decay
+ TVector3 lambda_unit = lambda_lab.Vect().Unit();
+ double lambda_decay_length = GetDecayLength(r1, lambda_lifetime, lambda_mass, lambda_lab.P());
+ TVector3 lambda_decay_position = lambda_unit * lambda_decay_length;
+ double lambda_decay_time = lambda_decay_length / lambda_lab.Beta() ; // Decay time in lab frame in length units (mm)
+
+ // Generating vertex for lambda decay
+ GenParticlePtr p_neutron = std::make_shared<GenParticle>(
+ FourVector(neutron_lab.Px(), neutron_lab.Py(), neutron_lab.Pz(), neutron_lab.E()), neutron_pdgID, 1 );
+
+ GenParticlePtr p_pi0 = std::make_shared<GenParticle>(
+ FourVector(pi0_lab.Px(), pi0_lab.Py(), pi0_lab.Pz(), pi0_lab.E()), pi0_pdgID, 2 );
+
+ GenVertexPtr v_lambda_decay = std::make_shared<GenVertex>(FourVector(lambda_decay_position.X(), lambda_decay_position.Y(), lambda_decay_position.Z(), lambda_decay_time));
+ v_lambda_decay->add_particle_in(p_lambda);
+ v_lambda_decay->add_particle_out(p_neutron);
+ v_lambda_decay->add_particle_out(p_pi0);
+
+ evt.add_vertex(v_lambda_decay);
+
+ // Generate two photons from pi0 decay
+ TLorentzVector gamma1_rest, gamma2_rest;
+
+ // Generating uniformly along a sphere
+ double cost_gamma1_rest = r1->Uniform(-1,1);
+ double th_gamma1_rest = TMath::ACos(cost_gamma1_rest);
+ double sint_gamma1_rest = TMath::Sin(th_gamma1_rest);
+
+ double phi_gamma1_rest = r1->Uniform(-1.*TMath::Pi(),1.*TMath::Pi());
+ double cosp_gamma1_rest = TMath::Cos(phi_gamma1_rest);
+ double sinp_gamma1_rest = TMath::Sin(phi_gamma1_rest);
+
+ // Photons are massless so they each get equal energies
+ gamma1_rest.SetE(pi0_mass/2.);
+ gamma1_rest.SetPx( (pi0_mass/2.)*sint_gamma1_rest*cosp_gamma1_rest );
+ gamma1_rest.SetPy( (pi0_mass/2.)*sint_gamma1_rest*sinp_gamma1_rest );
+ gamma1_rest.SetPz( (pi0_mass/2.)*cost_gamma1_rest );
+
+ gamma2_rest.SetE(pi0_mass/2.);
+ gamma2_rest.SetPx( -gamma1_rest.Px() );
+ gamma2_rest.SetPy( -gamma1_rest.Py() );
+ gamma2_rest.SetPz( -gamma1_rest.Pz() );
+
+ // Boost neutron & pion to lab frame
+ TVector3 pi0_boost = pi0_lab.BoostVector();
+ TLorentzVector gamma1_lab, gamma2_lab;
+ gamma1_lab = gamma1_rest;
+ gamma1_lab.Boost(pi0_boost);
+ gamma2_lab = gamma2_rest;
+ gamma2_lab.Boost(pi0_boost);
+
+ GenParticlePtr p_gamma1 = std::make_shared<GenParticle>(
+ FourVector(gamma1_lab.Px(), gamma1_lab.Py(), gamma1_lab.Pz(), gamma1_lab.E()), photon_pdgID, 1 );
+
+ GenParticlePtr p_gamma2 = std::make_shared<GenParticle>(
+ FourVector(gamma2_lab.Px(), gamma2_lab.Py(), gamma2_lab.Pz(), gamma2_lab.E()), photon_pdgID, 1 );
+
+ // Generate pi0 at same position as the lambda. Approximating pi0 decay as instantaneous
+ GenVertexPtr v_pi0_decay = std::make_shared<GenVertex>(FourVector(lambda_decay_position.X(), lambda_decay_position.Y(), lambda_decay_position.Z(), lambda_decay_time));
+ v_pi0_decay->add_particle_in(p_pi0);
+ v_pi0_decay->add_particle_out(p_gamma1);
+ v_pi0_decay->add_particle_out(p_gamma2);
+
+ //std::cout<< lambda_pvec.Angle(pbeam_dir) << " " << neutron_lab.Angle(pbeam_dir) << " " << gamma1_lab.Angle(pbeam_dir) << " " << gamma2_lab.Angle(pbeam_dir) << std::endl;
+
+ evt.add_vertex(v_pi0_decay);
+
+ if (events_parsed == 0) {
+ std::cout << "First event: " << std::endl;
+ Print::listing(evt);
+ }
+ double zdc_z=35800;
+ TVector3 extrap_gamma=sigma_decay_position+gamma_lab.Vect()*((zdc_z-pbeam_dir.Dot(sigma_decay_position))/(pbeam_dir.Dot(gamma_lab.Vect())));
+ TVector3 extrap_neutron=lambda_decay_position+neutron_lab.Vect()*((zdc_z-pbeam_dir.Dot(lambda_decay_position))/(pbeam_dir.Dot(neutron_lab.Vect())));
+ TVector3 extrap_gamma1=lambda_decay_position+gamma1_lab.Vect()*((zdc_z-pbeam_dir.Dot(lambda_decay_position))/(pbeam_dir.Dot(gamma1_lab.Vect())));
+ TVector3 extrap_gamma2=lambda_decay_position+gamma2_lab.Vect()*((zdc_z-pbeam_dir.Dot(lambda_decay_position))/(pbeam_dir.Dot(gamma2_lab.Vect())));
+ if (extrap_neutron.Angle(pbeam_dir)<0.004 && extrap_gamma1.Angle(pbeam_dir)<0.004 && extrap_gamma2.Angle(pbeam_dir)<0.004 && extrap_gamma.Angle(pbeam_dir)<0.004 && lambda_decay_position.Dot(pbeam_dir)<zdc_z){
+ hepmc_output.write_event(evt);
+ accepted_events ++;
+ }
+ if (events_parsed % 1000 == 0) {
+ std::cout << "Event: " << events_parsed << " ("<<accepted_events<<" accepted)"<< std::endl;
+ }
+ evt.clear();
+ }
+ hepmc_output.close();
+
+ std::cout << "Events generated: " << events_parsed << " ("<<accepted_events<<" accepted)"<< std::endl;
+}
diff --git a/benchmarks/sigma/analysis/sigma_plots.py b/benchmarks/sigma/analysis/sigma_plots.py
new file mode 100644
index 00000000..1dbf47e2
--- /dev/null
+++ b/benchmarks/sigma/analysis/sigma_plots.py
@@ -0,0 +1,480 @@
+import numpy as np, pandas as pd, matplotlib.pyplot as plt, matplotlib as mpl, awkward as ak, sys
+import mplhep as hep
+hep.style.use("CMS")
+
+plt.rcParams['figure.facecolor']='white'
+plt.rcParams['savefig.facecolor']='white'
+plt.rcParams['savefig.bbox']='tight'
+
+plt.rcParams["figure.figsize"] = (7, 7)
+
+outdir=sys.argv[1]+"/"
+try:
+ import os
+ os.mkdir(outdir[:-1])
+except:
+ pass
+import uproot as ur
+arrays_sim={}
+momenta=100, 125, 150, 175,200,225,250,275
+for p in momenta:
+ filename=f'sim_output/sigma/epic_zdc_sipm_on_tile_only_rec_sigma_dec_{p}GeV.edm4hep.root'
+ print("opening file", filename)
+ events = ur.open(filename+':events')
+ arrays_sim[p] = events.arrays()[:-1] #remove last event, which for some reason is blank
+ import gc
+ gc.collect()
+ print("read", filename)
+
+def gauss(x, A,mu, sigma):
+ return A * np.exp(-(x-mu)**2/(2*sigma**2))
+
+#keep track of the number of clusters per event
+nclusters={}
+
+for p in momenta:
+ plt.figure()
+ nclusters[p]=[]
+ for i in range(len(arrays_sim[p])):
+ nclusters[p].append(len(arrays_sim[p]["HcalFarForwardZDCClusters.position.x"][i]))
+ nclusters[p]=np.array(nclusters[p])
+ plt.hist(nclusters[p],bins=20, range=(0,20))
+ plt.xlabel("number of clusters")
+ plt.yscale('log')
+ plt.title(f"$p_\Sigma={p}$ GeV")
+ plt.ylim(1)
+ plt.savefig(outdir+f"nclust_{p}GeV_recon.pdf")
+ print("saved file ", outdir+f"nclust_{p}GeV_recon.pdf")
+
+
+
+pt_truth={}
+theta_truth={}
+
+for p in momenta:
+ #get the truth value of theta* and pt*
+ px=arrays_sim[p]["MCParticles.momentum.x"][:,2]
+ py=arrays_sim[p]["MCParticles.momentum.y"][:,2]
+ pz=arrays_sim[p]["MCParticles.momentum.z"][:,2]
+ tilt=-0.025
+ pt_truth[p]=np.hypot(px*np.cos(tilt)-pz*np.sin(tilt), py)
+ theta_truth[p]=np.arctan2(pt_truth[p],pz*np.cos(tilt)+px*np.sin(tilt))
+
+#create an array with the same shape as the cluster-level arrays
+is_neutron_cand={}
+for p in momenta:
+ is_neutron_cand[p]=(0*arrays_sim[p][f"HcalFarForwardZDCClusters.energy"]).to_list()
+
+ #largest_eigenvalues
+ for i in range(len(arrays_sim[p])):
+ pars=arrays_sim[p]["_HcalFarForwardZDCClusters_shapeParameters"][i]
+ index_of_max=-1
+ max_val=0
+ eigs=[]
+ #Must make sure this doesn't get messed up if someone changes the number of shape parameters in EICrecon.
+ nClust=nclusters[p][i]
+ nShapePars=len(pars)//nClust
+ for j in range(nClust):
+ largest_eigenvalue=max(pars[nShapePars*j+4:nShapePars*j+7])
+ eigs.append(largest_eigenvalue)
+ if(largest_eigenvalue>max_val):
+ max_val=largest_eigenvalue
+ index_of_max=j
+ if index_of_max >=0:
+ is_neutron_cand[p][i][index_of_max]=1
+ eigs.sort()
+
+ is_neutron_cand[p]=ak.Array(is_neutron_cand[p])
+
+import ROOT
+
+lambda_mass=1.115683
+pi0_mass=0.1349768
+pt_recon_corr={}
+theta_recon_corr={}
+mass_recon_corr={}
+mass_lambda_recon_corr={}
+mass_pi0_recon_corr={}
+pi0_converged={}
+zvtx_recon={}
+
+#run this event-by-event:
+maxZ=35800
+for p in momenta:
+ pt_recon_corr[p]=[]
+ theta_recon_corr[p]=[]
+ mass_recon_corr[p]=[]
+ mass_lambda_recon_corr[p]=[]
+ mass_pi0_recon_corr[p]=[]
+ zvtx_recon[p]=[]
+ for evt in range(len(arrays_sim[p])):
+ if nclusters[p][evt]!=4:
+ nan=-1
+ pt_recon_corr[p].append(nan)
+ theta_recon_corr[p].append(nan)
+ mass_recon_corr[p].append(nan)
+ mass_lambda_recon_corr[p].append(nan)
+ mass_pi0_recon_corr[p].append(nan)
+ zvtx_recon[p].append(nan)
+ continue
+ xc=arrays_sim[p][f"HcalFarForwardZDCClusters.position.x"][evt]
+ yc=arrays_sim[p][f"HcalFarForwardZDCClusters.position.y"][evt]
+ zc=arrays_sim[p][f"HcalFarForwardZDCClusters.position.z"][evt]
+ E=arrays_sim[p][f"HcalFarForwardZDCClusters.energy"][evt]
+
+ #apply correction to the neutron candidates only
+ A,B,C=-0.0756, -1.91, 2.30
+ neutron_corr=(1-is_neutron_cand[p][evt])+is_neutron_cand[p][evt]/(1+A+B/np.sqrt(E)+C/E)
+ E=E*neutron_corr
+
+ pabs=np.sqrt(E**2-is_neutron_cand[p][evt]*.9406**2)
+ tilt=-0.025
+ xcp=xc*np.cos(tilt)-zc*np.sin(tilt)
+ ycp=yc
+ zcp=zc*np.cos(tilt)+xc*np.sin(tilt)
+
+ #search for the combination of photons that would give the best lambda mass
+ pt_best=-999
+ theta_best=-999
+ mass_lambda_best=-999
+ mass_sigma_best=-999
+ mass_pi0_best=-999
+ zvtx_best=-999
+ for hypothesis in range(4):
+ if is_neutron_cand[p][evt][hypothesis]:
+ continue
+
+ xvtx=0
+ yvtx=0
+ zvtx=0
+ #find the vertex position that reconstructs the pi0 mass
+ for iteration in range(20):
+ tot=ROOT.TLorentzVector(0,0,0,0)
+ Lambda=ROOT.TLorentzVector(0,0,0,0)
+ pi0=ROOT.TLorentzVector(0,0,0,0)
+
+ for i in range(4):
+
+ if i!=hypothesis:
+ ux=xcp[i]-xvtx
+ uy=ycp[i]-yvtx
+ uz=zcp[i]-zvtx
+ else:
+ ux=xcp[i]
+ uy=ycp[i]
+ uz=zcp[i]
+ u=np.sqrt(ux**2+uy**2+uz**2)
+ ux/=u
+ uy/=u
+ uz/=u
+
+ P=ROOT.TLorentzVector(pabs[i]*ux, pabs[i]*uy, pabs[i]*uz, E[i])
+ tot+=P
+ if not is_neutron_cand[p][evt][i] and i!=hypothesis:
+ pi0+=P
+ if i!=hypothesis:
+ Lambda+=P
+ alpha=1
+ if iteration==0:
+ zeta=1/2
+ zvtx=maxZ*np.power(zeta,alpha)
+ xvtx=Lambda.X()/Lambda.Z()*zvtx
+ yvtx=Lambda.Y()/Lambda.Z()*zvtx
+ else :
+ s=2*(pi0.M()<pi0_mass)-1
+ zeta=np.power(zvtx/maxZ, 1/alpha)
+ zeta=zeta+s*1/2**(1+iteration)
+ zvtx=maxZ*np.power(zeta,alpha)
+ xvtx=Lambda.X()/Lambda.Z()*zvtx
+ yvtx=Lambda.Y()/Lambda.Z()*zvtx
+
+ if abs(Lambda.M()-lambda_mass)< abs(mass_lambda_best-lambda_mass):
+ pt_best=tot.Pt()
+ theta_best=tot.Theta()
+ mass_lambda_best=Lambda.M()
+ mass_sigma_best=tot.M()
+ mass_pi0_best=pi0.M()
+ zvtx_best=zvtx
+
+ pt_recon_corr[p].append(pt_best)
+ theta_recon_corr[p].append(theta_best)
+ mass_recon_corr[p].append(mass_sigma_best)
+ mass_lambda_recon_corr[p].append(mass_lambda_best)
+ mass_pi0_recon_corr[p].append(mass_pi0_best)
+ zvtx_recon[p].append(zvtx_best)
+ pt_recon_corr[p]=ak.Array(pt_recon_corr[p])
+ theta_recon_corr[p]=ak.Array(theta_recon_corr[p])
+ mass_recon_corr[p]=ak.Array(mass_recon_corr[p])
+ mass_lambda_recon_corr[p]=ak.Array(mass_lambda_recon_corr[p])
+ mass_pi0_recon_corr[p]=ak.Array(mass_pi0_recon_corr[p])
+ zvtx_recon[p]=ak.Array(zvtx_recon[p])
+
+#now make plots
+
+#reconstructed vertex position plot
+fig,axs=plt.subplots(1,3, figsize=(24, 8))
+plt.sca(axs[0])
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+x=[]
+y=[]
+for p in momenta:
+ accept=(nclusters[p]==4)# &(pi0_converged[p])
+ x+=list(theta_truth[p][accept]*1000)
+ y+=list(theta_recon_corr[p][accept]*1000)
+#print(x)
+plt.scatter(x,y)
+plt.xlabel("$\\theta^{*\\rm truth}_{\\Sigma}$ [mrad]")
+plt.ylabel("$\\theta^{*\\rm recon}_{\\Sigma}$ [mrad]")
+plt.xlim(0,3.2)
+plt.ylim(0,3.2)
+
+plt.sca(axs[1])
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+y,x,_=plt.hist(y-np.array(x), bins=50, range=(-1,1))
+bc=(x[1:]+x[:-1])/2
+
+from scipy.optimize import curve_fit
+slc=abs(bc)<0.6
+fnc=gauss
+p0=[100, 0, 0.5]
+coeff, var_matrix = curve_fit(fnc, bc[slc], y[slc], p0=p0,
+ sigma=np.sqrt(y[slc])+(y[slc]==0))
+x=np.linspace(-1, 1)
+plt.plot(x, gauss(x, *coeff), color='tab:orange')
+plt.xlabel("$\\theta^{*\\rm recon}_{\\Sigma}-\\theta^{*\\rm truth}_{\\Sigma}$ [mrad]")
+plt.ylabel("events")
+
+plt.sca(axs[2])
+sigmas=[]
+dsigmas=[]
+xvals=[]
+for p in momenta:
+
+ accept=(nclusters[p]==4)
+ y,x=np.histogram((theta_recon_corr[p]-theta_truth[p])[accept]*1000, bins=100, range=(-0.5,0.5))
+ bc=(x[1:]+x[:-1])/2
+
+ from scipy.optimize import curve_fit
+ slc=abs(bc)<0.3
+ fnc=gauss
+ p0=(100, 0, 0.15)
+ #print(bc[slc],y[slc])
+ sigma=np.sqrt(y[slc])+(y[slc]==0)
+ try:
+ coeff, var_matrix = curve_fit(fnc, list(bc[slc]), list(y[slc]), p0=p0,sigma=list(sigma))
+ sigmas.append(np.abs(coeff[2]))
+ dsigmas.append(np.sqrt(var_matrix[2][2]))
+ xvals.append(p)
+ except:
+ print(f"fit failed for p={p}")
+print(xvals)
+print(sigmas)
+plt.ylim(0, 0.3)
+
+plt.errorbar(xvals, sigmas, dsigmas, ls='', marker='o', color='k')
+x=np.linspace(100, 275, 100)
+plt.plot(x, 3/np.sqrt(x), color='tab:orange')
+plt.text(170, .23, "YR requirement:\n 3 mrad/$\\sqrt{E}$")
+plt.xlabel("$E_{\\Sigma}$ [GeV]")
+plt.ylabel("$\\sigma[\\theta^*_{\\Sigma}]$ [mrad]")
+plt.tight_layout()
+plt.savefig(outdir+"thetastar_recon.pdf")
+
+#reconstructed vertex position plot
+fig,axs=plt.subplots(1,3, figsize=(24, 8))
+plt.sca(axs[0])
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+x=[]
+y=[]
+for p in momenta:
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ tilt=-0.025
+ x+=list(arrays_sim[p]['MCParticles.vertex.z'][:,5][accept]*np.cos(tilt)/1000
+ +np.sin(tilt)*arrays_sim[p]['MCParticles.vertex.z'][:,5][accept]/1000)
+ y+=list(zvtx_recon[p][accept]/1000)
+plt.scatter(x,y)
+#print(x,y)
+plt.xlabel("$z^{\\rm truth}_{\\rm vtx}$ [m]")
+plt.ylabel("$z^{\\rm recon}_{\\rm vtx}$ [m]")
+plt.xlim(0,40)
+plt.ylim(0,40)
+
+plt.sca(axs[1])
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+y,x,_=plt.hist(y-np.array(x), bins=50, range=(-10,10))
+bc=(x[1:]+x[:-1])/2
+
+from scipy.optimize import curve_fit
+slc=abs(bc)<5
+fnc=gauss
+p0=[100, 0, 1]
+coeff, var_matrix = curve_fit(fnc, bc[slc], y[slc], p0=p0,
+ sigma=np.sqrt(y[slc])+(y[slc]==0))
+x=np.linspace(-5, 5)
+plt.plot(x, gauss(x, *coeff), color='tab:orange')
+plt.xlabel("$z^{*\\rm recon}_{\\rm vtx}-z^{*\\rm truth}_{\\rm vtx}$ [m]")
+plt.ylabel("events")
+
+plt.sca(axs[2])
+sigmas=[]
+dsigmas=[]
+xvals=[]
+for p in momenta:
+
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ a=list((zvtx_recon[p]-arrays_sim[p]['MCParticles.vertex.z'][:,5])[accept]/1000)
+ y,x=np.histogram(a, bins=100, range=(-10,10))
+ bc=(x[1:]+x[:-1])/2
+
+ from scipy.optimize import curve_fit
+ slc=abs(bc)<5
+ fnc=gauss
+ p0=(100, 0, 1)
+ #print(bc[slc],y[slc])
+ sigma=np.sqrt(y[slc])+(y[slc]==0)
+ try:
+ coeff, var_matrix = curve_fit(fnc, list(bc[slc]), list(y[slc]), p0=p0,sigma=list(sigma))
+ sigmas.append(abs(coeff[2]))
+ dsigmas.append(np.sqrt(var_matrix[2][2]))
+ xvals.append(p)
+ except:
+ print(f"fit failed for p={p}")
+plt.ylim(0, 3)
+
+plt.errorbar(xvals, sigmas, dsigmas, ls='', marker='o', color='k')
+x=np.linspace(100, 275, 100)
+
+avg=np.sum(sigmas/np.array(dsigmas)**2)/np.sum(1/np.array(dsigmas)**2)
+plt.axhline(avg, color='tab:orange')
+plt.text(150, 1.25,f"$\\sigma\\approx${avg:.1f} m")
+
+plt.xlabel("$E_{\\Sigma}$ [GeV]")
+plt.ylabel("$\\sigma[z_{\\rm vtx}]$ [m]")
+plt.tight_layout()
+plt.savefig(outdir+"zvtx_recon.pdf")
+
+#lambda mass reconstruction
+fig,axs=plt.subplots(1,2, figsize=(16, 8))
+plt.sca(axs[0])
+lambda_mass=1.115683
+vals=[]
+for p in momenta:
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ vals+=list(mass_lambda_recon_corr[p][accept])
+
+y,x,_= plt.hist(vals, bins=100, range=(0.9, 1.3))
+bc=(x[1:]+x[:-1])/2
+plt.axvline(lambda_mass, ls='--', color='tab:green', lw=3)
+plt.text(lambda_mass+.01, np.max(y)*1.05, "PDG mass", color='tab:green')
+plt.xlabel("$m_{\\Lambda}^{\\rm recon}$ [GeV]")
+plt.ylim(0, np.max(y)*1.2)
+plt.xlim(0.9, 1.3)
+
+from scipy.optimize import curve_fit
+slc=abs(bc-lambda_mass)<0.05
+fnc=gauss
+p0=[100, lambda_mass, 0.03]
+coeff, var_matrix = curve_fit(fnc, bc[slc], y[slc], p0=p0,
+ sigma=np.sqrt(y[slc])+(y[slc]==0))
+x=np.linspace(0.8, 1.3, 200)
+plt.plot(x, gauss(x, *coeff), color='tab:orange')
+print(coeff[2], np.sqrt(var_matrix[2][2]))
+plt.xlabel("$m^{\\rm recon}_{\\Lambda}$ [GeV]")
+plt.ylabel("events")
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+
+plt.sca(axs[1])
+xvals=[]
+sigmas=[]
+dsigmas=[]
+for p in momenta:
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ y,x= np.histogram(mass_lambda_recon_corr[p][accept], bins=100, range=(0.6,1.4))
+ bc=(x[1:]+x[:-1])/2
+
+ from scipy.optimize import curve_fit
+ slc=abs(bc-lambda_mass)<0.05
+ fnc=gauss
+ p0=[100, lambda_mass, 0.03]
+ try:
+ coeff, var_matrix = curve_fit(fnc, list(bc[slc]), list(y[slc]), p0=p0,
+ sigma=list(np.sqrt(y[slc])+(y[slc]==0)))
+ x=np.linspace(0.8, 1.3, 200)
+ sigmas.append(coeff[2])
+ dsigmas.append(np.sqrt(var_matrix[2][2]))
+ xvals.append(p)
+ except:
+ print("fit failed")
+
+plt.errorbar(xvals, sigmas, dsigmas, ls='', marker='o', color='k')
+avg=np.sum(sigmas/np.array(dsigmas)**2)/np.sum(1/np.array(dsigmas)**2)
+plt.axhline(avg, color='tab:orange')
+plt.text(150, 0.01,f"$\\sigma\\approx${avg*1000:.0f} MeV")
+plt.xlabel("$E_{\\Sigma}$ [GeV]")
+plt.ylabel("$\\sigma[m_{\\Lambda}]$ [GeV]")
+plt.ylim(0, 0.02)
+plt.tight_layout()
+plt.savefig(outdir+"lambda_mass_rec_from_sigma_decay.pdf")
+
+#sigma mass reconstruction
+p=100
+fig,axs=plt.subplots(1,2, figsize=(16, 8))
+plt.sca(axs[0])
+sigma_mass=1.192
+vals=[]
+for p in momenta:
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ vals+=list(mass_recon_corr[p][accept])
+
+y,x,_= plt.hist(vals, bins=100, range=(1.0, 1.4))
+bc=(x[1:]+x[:-1])/2
+plt.axvline(sigma_mass, ls='--', color='tab:green', lw=3)
+plt.text(sigma_mass+.01, np.max(y)*1.05, "PDG mass", color='tab:green')
+plt.xlabel("$m_{\\Sigma}^{\\rm recon}$ [GeV]")
+plt.ylim(0, np.max(y)*1.2)
+plt.xlim(1.0, 1.45)
+
+from scipy.optimize import curve_fit
+slc=abs(bc-sigma_mass)<0.02
+fnc=gauss
+p0=[100, sigma_mass, 0.03]
+coeff, var_matrix = curve_fit(fnc, bc[slc], y[slc], p0=p0,
+ sigma=np.sqrt(y[slc])+(y[slc]==0))
+x=np.linspace(0.8, 1.3, 200)
+plt.plot(x, gauss(x, *coeff), color='tab:orange')
+print(coeff[2], np.sqrt(var_matrix[2][2]))
+plt.xlabel("$m^{\\rm recon}_{\\Sigma}$ [GeV]")
+plt.ylabel("events")
+plt.title(f"$E_{{\\Sigma}}=100-275$ GeV")
+
+plt.sca(axs[1])
+xvals=[]
+sigmas=[]
+dsigmas=[]
+for p in momenta:
+ accept=(nclusters[p]==4)&(abs(mass_pi0_recon_corr[p]-pi0_mass)<.01)
+ y,x= np.histogram(mass_recon_corr[p][accept], bins=100, range=(1.0,1.4))
+ bc=(x[1:]+x[:-1])/2
+
+ from scipy.optimize import curve_fit
+ slc=abs(bc-sigma_mass)<0.02
+ fnc=gauss
+ p0=[100, sigma_mass, 0.03]
+ try:
+ coeff, var_matrix = curve_fit(fnc, list(bc[slc]), list(y[slc]), p0=p0,
+ sigma=list(np.sqrt(y[slc])+(y[slc]==0)))
+ sigmas.append(abs(coeff[2]))
+ dsigmas.append(np.sqrt(var_matrix[2][2]))
+ xvals.append(p)
+ except:
+ print("fit failed")
+
+plt.errorbar(xvals, sigmas, dsigmas, ls='', marker='o', color='k')
+avg=np.sum(sigmas/np.array(dsigmas)**2)/np.sum(1/np.array(dsigmas)**2)
+plt.axhline(avg, color='tab:orange')
+plt.text(150, 0.01,f"$\\sigma\\approx${avg*1000:.0f} MeV")
+plt.xlabel("$E_{\\Sigma}$ [GeV]")
+plt.ylabel("$\\sigma[m_{\\Sigma}]$ [GeV]")
+plt.ylim(0, 0.1)
+plt.tight_layout()
+plt.savefig(outdir+"sigma_mass_rec.pdf")
diff --git a/benchmarks/sigma/benchmark.json b/benchmarks/sigma/benchmark.json
new file mode 100644
index 00000000..7c475ddb
--- /dev/null
+++ b/benchmarks/sigma/benchmark.json
@@ -0,0 +1,6 @@
+{
+ "name": "Sigma0 in ZDC",
+ "title": "Sigma0 Benchmark",
+ "description": "Benchmark for measuring sigma0 reconstruction using its decay products in the ZDC",
+ "target": "0.8"
+}
diff --git a/benchmarks/sigma/config.yml b/benchmarks/sigma/config.yml
new file mode 100644
index 00000000..46845c37
--- /dev/null
+++ b/benchmarks/sigma/config.yml
@@ -0,0 +1,34 @@
+sigma:simulate:
+ stage: simulate
+ extends: .phy_benchmark
+ needs: ["common:detector"]
+ parallel:
+ matrix:
+ - P: 100
+ - P: 125
+ - P: 150
+ - P: 175
+ - P: 200
+ - P: 225
+ - P: 250
+ - P: 275
+ timeout: 6 hours
+ script:
+ - snakemake --cores 1 sim_output/sigma/epic_zdc_sipm_on_tile_only_rec_sigma_dec_${P}GeV.edm4hep.root
+ retry:
+ max: 2
+ when:
+ - runner_system_failure
+
+sigma:analyze:
+ stage: analyze
+ extends: .phy_benchmark
+ needs: ["sigma:simulate"]
+ script:
+ - snakemake --cores 1 results/epic_zdc_sipm_on_tile_only/sigma
+
+sigma:results:
+ stage: collect
+ needs: ["sigma:analyze"]
+ script:
+ - ls -al
diff --git a/benchmarks/sigma/sigma_decay.hepmc b/benchmarks/sigma/sigma_decay.hepmc
new file mode 100644
index 00000000..612a6689
--- /dev/null
+++ b/benchmarks/sigma/sigma_decay.hepmc
@@ -0,0 +1,64159 @@
+HepMC::Version 3.02.07
+HepMC::Asciiv3-START_EVENT_LISTING
+E 0 4 9
+U GEV MM
+P 1 0 11 0.0000000000000000e+00 0.0000000000000000e+00 1.0000000000000000e+01 1.0000000000000000e+01 0.0000000000000000e+00 4
+P 2 0 2212 0.0000000000000000e+00 0.0000000000000000e+00 0.0000000000000000e+00 9.3799999999999994e-01 9.3799999999999994e-01 4
+V -1 0 [1,2]
+P 3 -1 3212 -6.2735374760692055e+00 -2.4474510656695694e-01 2.6492599362565187e+02 2.6500305972971313e+02 1.1926419999877735e+00 2
+V -2 0 [3] @ -4.6000332206207552e-08 -1.7945786170672258e-09 1.9425537447295827e-06 1.9431188272531475e-06
+P 4 -2 3122 -5.7495125875851505e+00 -2.9346368518461319e-01 2.4366514119078988e+02 2.4373569454639463e+02 1.1156830000012037e+00 2
+P 5 -2 22 -5.2402488854364893e-01 4.8718578615331340e-02 2.1260852437378574e+01 2.1267365185835828e+01 -3.3717478808715228e-07 1
+V -3 0 [4] @ -1.0146511561718090e+02 -5.1789306124829428e+00 4.3001056778596103e+03 4.3013507754699840e+03
+P 6 -3 2112 -4.5522963418993996e+00 -2.0625182497262676e-01 1.9668833401348465e+02 1.9674335938460734e+02 9.3956540000432887e-01 1
+P 7 -3 111 -1.1972162457035702e+00 -8.7211860212895939e-02 4.6976807178060426e+01 4.6992335162542695e+01 1.3497680000107018e-01 2
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+HepMC::Asciiv3-END_EVENT_LISTING
+
--
GitLab