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 25 articles )

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  1. Das, Pritam; Das, Mrinal Kumar; Khan, Najimuddin: A new feasible dark matter region in the singlet scalar scotogenic model (2021)
  2. Fu, Qing; Yang, Ji-Chong; Yue, Chong-Xing; Guo, Yu-Chen: The study of neutral triple gauge couplings in the process (e^+e^- \rightarrowZ\gamma) including unitarity bounds (2021)
  3. Khatibi, Sara; Khanpour, Hamzeh: Probing four-fermion operators in the triple top production at future hadron colliders (2021)
  4. Wang, Fei; Wu, Lei; Xiao, Yang; Yang, Jin Min; Zhang, Yang: GUT-scale constrained SUSY in light of new muon g-2 measurement (2021)
  5. Ilyushin, M.; Mandrik, P.; Slabospitskii, S.: Constraints on the Higgs boson anomalous FCNC interactions with light quarks (2020)
  6. Li, Ruibo; Lv, Xiang; Wang, Bo-Wen; Wang, Kai; Xu, Tao: Photo-production of the Higgs boson at the LHeC (2020)
  7. Shang, Liangliang; Wei, Wei; Yang, Bingfang: Search for vector-like (T) quark through (th) channel at (e\gamma) collider (2020)
  8. Tai Sakuma: AlphaTwirl: A Python library for summarizing event data into multivariate categorical data (2019) arXiv
  9. 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
  10. Dumont, Béranger: Higgs, supersymmetry and dark matter after run I of the LHC (2017)
  11. Reddy, Dandala R. K. (ed.); Odintsov, Sergei D. (ed.); Harko, Tiberiu (ed.): Dark matter and dark energy cosmologies and alternative theories of gravitation (2017)
  12. Zhang, Tonglin; Yang, Baijian: An exact approach to ridge regression for big data (2017)
  13. Cacciapaglia, Giacomo; Deandrea, Aldo; Deutschmann, Nicolas: Dark matter and localised fermions from spherical orbifolds? (2016)
  14. Zeune, Lisa: Constraining supersymmetric models. Using Higgs physics, precision observables and direct searches (2016)
  15. Hirschi, Valentin; Mattelaer, Olivier: Automated event generation for loop-induced processes (2015)
  16. 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)
  17. S.V. Chekanov: HepSim: a repository with predictions for high-energy physics experiments (2014) arXiv
  18. Redi, Michele; Sanz, Veronica; De Vries, Maikel; Weiler, Andreas: Strong signatures of right-handed compositeness (2013)
  19. Banerjee, Piyali; Martin, Adam; Sanz, Veronica: Distinguishing among technicolor/warped scenarios in dileptons (2012)
  20. Barceló, R.; Carmona, A.; Chala, M.; Masip, M.; Santiago, J.: Single vectorlike quark production at the LHC (2012)

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