DELPHES 3: a modular framework for fast simulation of a generic collider experiment
By J. Favereau, C. Delaere, P. Demin, Andrea Giammanco, V. Lemaitre, A. Mertens, M. Selvaggi, T. D. Collaboration. 2013
2,873 citations recorded by the source corpus.
The version 3.0 of the Delphes fast-simulation is presented. The goal of Delphes is to allow the simulation of a multipurpose detector for phenomenological studies. The simulation includes a track propagation system embedded in a magnetic field, electromagnetic and hadron calorimeters, and a muon identification system. Physics objects that can be used for data analysis are then reconstructed from the simulated detector response. These include tracks and calorimeter deposits and high level objects such as isolated electrons, jets, taus, and missing energy. The new modular approach allows for greater flexibility in the design of the simulation and reconstruction sequence. New features such as the particle-flow reconstruction approach, crucial in the first years of the LHC, and pile-up simulation and mitigation, which is needed for the simulation of the LHC detectors in the near future, have also been implemented. The Delphes framework is not meant to be used for advanced detector studies, for which more accurate tools are needed. Although some aspects of Delphes are hadron collider specific, it is flexible enough to be adapted to the needs of electron-positron collider experiments.
Subfields: Nuclear and High Energy Physics
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In Nuclear and High Energy Physics
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Citations in the corpus
- Set2Graph: Learning Graphs From Sets (2020, methodology): “Our simulated samples are created with a standard simulation package called PYTHIA (Sjstrand et al., 2015) and the detector is simulated with DELPHES (de Favereau et al., 2014).”
- Implications of unitarity and gauge invariance for simplified dark matter models (2015, methodology): “We find good agreement between this procedure and an analogous implementation using CalcHEP v3 [73] and DELPHES v3 [74].”
- Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider (2019, methodology): “The Delphes package [336] allows for the generic simulation of the response of a typical detector used in high-energy physics experiments.”
- Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report (2017, methodology): “1 [717] was studied using particle-level input from Pythia 8.”
- Parton Shower Uncertainties in Jet Substructure Analyses with Deep Neural Networks (2016, methodology): “Following event generation, events are reconstructed with the Delphes detector simulator while optionally overlaying pile-up events.”
- QCD-aware recursive neural networks for jet physics (2017, methodology): “We obtained both the full-event records from their PYTHIA benchmark samples [24], including both the particle-level data and the towers from the DELPHES detector simulation [25].”
- Constraining dark sectors with monojets and dijets (2015, positive): “7 Parton level events are first passed through Pythia v6 [65] to simulate initial and final state radiation, fragmentation and hadronisation, and subsequently through Delphes v3 [72] for fast detector simulation.”