DELPHES

DELPHES, a framework for fast simulation of a generic collider experiment. This paper presents a new C++ framework, DELPHES, performing a fast multipurpose detector response simulation. The simulation includes a tracking system, embedded into a magnetic field, calorimeters and a muon system, and possible very forward detectors arranged along the beamline. The framework is interfaced to standard file formats (e.g. Les Houches Event File or HepMC) and outputs observables such as isolated leptons, missing transverse energy and collection of jets which can be used for dedicated analyses. The simulation of the detector response takes into account the effect of magnetic field, the granularity of the calorimeters and subdetector resolutions. A simplified preselection can also be applied on processed events for trigger emulation. Detection of very forward scattered particles relies on the transport in beamlines with the HECTOR software. Finally, the FROG 2D/3D event display is used for visualisation of the collision final states.


References in zbMATH (referenced in 18 articles )

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  1. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  2. Sébastien Brochet; Christophe Delaere; Brieuc François; Vincent Lemaître; Alexandre Mertens; Alessia Saggio; Miguel Vidal Marono; Sébastien Wertz: MoMEMta, a modular toolkit for the Matrix Element Method at the LHC (2018) arXiv
  3. Dumont, Béranger: Higgs, supersymmetry and dark matter after run I of the LHC (2017)
  4. Reddy, Dandala R. K. (ed.); Odintsov, Sergei D. (ed.); Harko, Tiberiu (ed.): Dark matter and dark energy cosmologies and alternative theories of gravitation (2017)
  5. Zhang, Tonglin; Yang, Baijian: An exact approach to ridge regression for big data (2017)
  6. Cacciapaglia, Giacomo; Deandrea, Aldo; Deutschmann, Nicolas: Dark matter and localised fermions from spherical orbifolds? (2016)
  7. Zeune, Lisa: Constraining supersymmetric models. Using Higgs physics, precision observables and direct searches (2016)
  8. Hirschi, Valentin; Mattelaer, Olivier: Automated event generation for loop-induced processes (2015)
  9. Alwall, J.; Frederix, R.; Frixione, S.; Hirschi, V.; Maltoni, F.; Mattelaer, O.; Shao, H.-S.; Stelzer, T.; Torrielli, P.; Zaro, M.: The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations (2014)
  10. S.V. Chekanov: HepSim: a repository with predictions for high-energy physics experiments (2014) arXiv
  11. Redi, Michele; Sanz, Veronica; De Vries, Maikel; Weiler, Andreas: Strong signatures of right-handed compositeness (2013)
  12. Banerjee, Piyali; Martin, Adam; Sanz, Veronica: Distinguishing among technicolor/warped scenarios in dileptons (2012)
  13. Barceló, R.; Carmona, A.; Chala, M.; Masip, M.; Santiago, J.: Single vectorlike quark production at the LHC (2012)
  14. Fuks, Benjamin: Beyond the minimal supersymmetric standard model: from theory to phenomenology (2012)
  15. Hashi, Manami; Kitazawa, Noriaki: Signatures of low-scale string models at the LHC (2012)
  16. Alwall, Johan; Herquet, Michel; Maltoni, Fabio; Mattelaer, Olivier; Stelzer, Tim: MadGraph 5: going beyond (2011)
  17. Gripaios, Ben; Papaefstathiou, Andreas; Sakurai, Kazuki; Webber, Bryan: Searching for third-generation composite leptoquarks at the LHC (2011)
  18. S. Ovyn, X. Rouby, V. Lemaitre: Delphes, a framework for fast simulation of a generic collider experiment (2010) arXiv