Simulated datasets for detector and particle flow reconstruction: CLIC detector

<p><strong>Data description</strong></p> <p>Datasets generated using Key4HEP and the CLIC detector model suitable for particle flow reconstruction studies.</p> <p>The datasets contain generator particles, reconstructed tracks and calorimeter hits, reconstructed Pandora PF particles and their respective links in the <a href="https://doi.org/10.5281/zenodo.7221473">EDM4HEP</a> format.</p> <p>The following processes have been simulated with Pythia 8:</p> <ul> <li>p8_ee_tt_ecm380: ee -&gt; ttbar, center of mass energy at 380 GeV</li> <li>p8_ee_qq_ecm380: ee -&gt; Z* -&gt; qqbar, center of mass energy at 380 GeV</li> <li>p8_ee_ZH_Htautau: ee -&gt; ZH -&gt; Higgs decaying to tau leptons, center of mass energy at 380 GeV</li> <li>p8_ee_WW_fullhad: ee -&gt; WW -&gt; W decaying hadronically, center of mass energy at 380 GeV</li> <li>p8_ee_tt_ecm380_PU10: ee -&gt; ttbar with on average 10 Poisson-distributed events from ee-&gt;gg overlayed, center of mass energy at 380 GeV</li> </ul> <p>The following single particle gun samples have been generated with ddsim:</p> <ul> <li>e+/e-: single electron with energy between 1 and 100 GeV</li> <li>mu+/mu-: single muon with energy between 1 and 100 GeV</li> <li>kaon0L: single K0L with energy between 1 and 100 GeV</li> <li>neutron: single neutron with energy between 1 and 100 GeV</li> <li>pi+/pi-: single charged pion with energy between 1 and 100 GeV</li> <li>pi0: single neutral pion with energy between 1 and 100 GeV</li> <li>gamma: single photon with energy between 1 and 100 GeV</li> </ul> <p>The detector simulation has been done with Geant4, the reconstruction with Marlin interfaced via Key4HEP which includes PF reconstruction with Pandora, all using publicly available models and code.</p> <p>&nbsp;</p> <p><strong>Contents</strong></p> <p>This record includes the following files:</p> <ul> <li>*_10files.tar: small archives of 10 files for each data sample, suitable for testing</li> <li>dataset_full.txt: the full list of files, hosted at the Julich HPC courtesy of the Raise CoE project, ~2.5TB total</li> <li>*.cmd: the Pythia8 cards</li> <li>pythia.py: the pythia steering code for Key4HEP</li> <li>run_sim.sh: the steering script for generating, simulating and reconstructing a single file of 100 events from the p8_ee_tt_ecm380, p8_ee_qq_ecm380, p8_ee_ZH_Htautau, p8_ee_WW_fullhad datasets</li> <li>run_sim_pu.sh: the steering script for generating, simulating and reconstructing a single file of 100 events from the p8_ee_tt_ecm380_PU10 dataset</li> <li>run_sim_gun.sh: the steering script for generating the single-particle gun samples</li> <li>run_sim_gun_np.sh: the steering script for generating multi-particle gun samples (extensive datasets have not yet been generated)</li> <li>check_files.py: the main driver script that configures the full statistics and creates submission scripts for all the simulations</li> <li>PandoraSettings.zip: the settings used for Pandora PF reconstruction</li> <li>main19.cc: the Pythia8+HepMC driver code for generating the events with PU overlay</li> <li>clicRec_e4h_input.py: the steering configuration of the reconstruction modules in Key4HEP</li> <li>clic_steer.py: the steering configuration of the Geant4 simulation modules in Key4HEP</li> <li>clic-visualize.ipynb: an example notebook demonstrating how the dataset can be loaded and events visualized in Python</li> <li>visualization.mp4: an example visualization of the hits and generator particles of a single ttbar event from the dataset</li> </ul> <p>&nbsp;</p> <p><strong>Dataset semantics</strong></p> <p>Each file consists of event records. Each event contains structured branches of the relevant physics data. The branches relevant to particle flow reconstruction include:</p> <ul> <li>MCParticles: the ground truth generator particles</li> <li>ECALBarrel, ECALEndcap, ECALOther, HCALBarrel, HCALEndcap, HCALOther, MUON: reconstructed hits in the various calorimeter subsystems</li> <li>SiTracks_Refitted: the reconstructed tracks</li> <li>PandoraClusters: the calorimeter hits, clustered by Pandora to calorimeter clusters</li> <li>MergedRecoParticles: the reconstructed particles from the Pandora particle flow algorithm</li> <li>CalohitMCTruthLink: the links between MC particles and reconstructed calorimeter hits</li> <li>SiTracksMCTruthLink: the links between MC particles and reconstructed tracks</li> </ul> <p>The full details of the EDM4HEP format are available <a href="https://doi.org/10.5281/zenodo.7221473">here</a>.</p> <p>&nbsp;</p> <p><strong>Dataset characteristics</strong></p> <p>The full dataset in dataset_full.txt consists of 43 tar files of up to 100GB each. The tar files contain in total 58068 files, 2.5TB in the ROOT EDM4HEP format.</p> <p>The subset in *_10files.tar for consists of 150 files, 26GB in the ROOT EDM4HEP format.</p> <p>&nbsp;</p> <p><strong>How can you use these data?</strong></p> <p>The ROOT files can be directly loaded with the <a href="https://zenodo.org/record/8239801">uproot</a> Python library.</p> <p>&nbsp;</p> <p><strong>Disclaimer</strong></p> <p>These are simulated samples suitable for conceptual machine learning R&amp;D and software performance studies. They have not been calibrated with respect to real data, and should not be used to derive physics projections about the detectors.</p> <p>Neither CLIC nor CERN endorse any works, scientific or otherwise, produced using these data. All releases will have a unique DOI that you are requested to cite in any applications or publications.</p>