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Datasets generated using Key4HEP and the CLIC detector suitable for particle flow reconstruction studies. The datasets contain generator particles, reconstructed tracks and calorimeter hits, reconstructed Pandora PF particles and their respective links in the EDM4HEP format. The following processes have been simulated: tt: ee->ttbar at 380 GeV qq: ee-> Z* -> qqbar at 380 GeV e+/e-: single electron with momentum between 1 and 100 GeV mu+/mu-: single muon with momentum between 1 and 100 GeV kaon0L: single K0L with momentum between 1 and 100 GeV neutron: single neutron with momentum between 1 and 100 GeV pi+/pi-: single charged pion with momentum between 1 and 100 GeV pi0: single neutral pion with momentum between 1 and 100 GeV gamma: single photon with momentum between 1 and 100 GeV The hard interaction has been generated with Pythia 8 (pythia.py, *.cmd), the detector simulation has been done with Geant4 (clic_steer.py), the reconstruction with Marlin interfaced via Key4HEP (clicRec_e4h_input.py), which includes PF reconstruction with Pandora (PandoraSettings.zip). The main steering scripts for generating the simulations are run_sim.sh (qq and tt) and run_sim_gun.sh (particle gun), which also contain the exact versions of the software and the detector.
Funding support by Estonian Research Council (ETAG) grant PSG864.
high-energy physics, machine learning, reconstruction, particle physics, particle flow
high-energy physics, machine learning, reconstruction, particle physics, particle flow
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