FastJet

FastJet user manual: FastJet is a C++ package that provides a broad range of jet finding and analysis tools. It includes efficient native implementations of all widely used 2→1 sequential recombination jet algorithms for pp and e + e − collisions, as well as access to 3rd party jet algorithms through a plugin mechanism, including all currently used cone algorithms. FastJet also provides means to facilitate the manipulation of jet substructure, including some common boosted heavy-object taggers, as well as tools for estimation of pileup and underlying-event noise levels, determination of jet areas and subtraction or suppression of noise in jets.


References in zbMATH (referenced in 29 articles , 1 standard article )

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  1. Pathak, Aditya; Stewart, Iain W.; Vaidya, Varun; Zoppi, Lorenzo: EFT for soft drop double differential cross section (2021)
  2. Wang, Fei; Wu, Lei; Xiao, Yang; Yang, Jin Min; Zhang, Yang: GUT-scale constrained SUSY in light of new muon g-2 measurement (2021)
  3. Khanpour, Hamzeh: Probing top quark FCNC couplings in the triple-top signal at the high energy LHC and future circular collider (2020)
  4. Shang, Liangliang; Wei, Wei; Yang, Bingfang: Search for vector-like (T) quark through (th) channel at (e\gamma) collider (2020)
  5. Araz, Jack Y.; Corcella, Gennaro; Frank, Mariana; Fuks, Benjamin: Loopholes in (Z’) searches at the LHC: exploring supersymmetric and leptophobic scenarios (2018)
  6. Kuday, S.; Saygın, H.; Hoş, İ.; Çetin, F.: Projections for neutral di-boson and di-Higgs interactions at FCC-he collider (2018)
  7. Dery, Lucio Mwinmaarong; Nachman, Benjamin; Rubbo, Francesco; Schwartzman, Ariel: Weakly supervised classification in high energy physics (2017)
  8. Forster, Richárd; Fulop, Ágnes: Parallel (k_t) jet clustering algorithm (2017)
  9. Forster, Richárd; Fülöp, Ágnes: Hierarchical (\mathsfk_\mathsft) jet clustering for parallel architectures (2017)
  10. Han, Chengcheng; Kim, Doojin; Kim, Minho; Kong, Kyoungchul; Lim, Sung Hak; Park, Myeonghun: Identifying a new particle with jet substructures (2017)
  11. Komiske, Patrick T.; Metodiev, Eric M.; Schwartz, Matthew D.: Deep learning in color: towards automated quark/gluon jet discrimination (2017)
  12. Liew, Seng Pei; Luo, Feng: Effects of QCD bound states on dark matter relic abundance (2017)
  13. Reddy, Dandala R. K. (ed.); Odintsov, Sergei D. (ed.); Harko, Tiberiu (ed.): Dark matter and dark energy cosmologies and alternative theories of gravitation (2017)
  14. Nagy, Zoltán; Soper, Davison E.: Summing threshold logs in a parton shower (2016)
  15. Jäger, Barbara; von Manteuffel, Andreas; Thier, Stephan: Slepton pair production in association with a jet: NLO-QCD corrections and parton-shower effects (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. Larkoski, Andrew J.; Salam, Gavin P.; Thaler, Jesse: Energy correlation functions for jet substructure (2013)
  18. Lönnblad, Leif; Prestel, Stefan: Unitarising matrix element + parton shower merging (2013)
  19. Ruderman, Joshua T.; Slatyer, Tracy R.; Weiner, Neal: A collective breaking of R-parity (2013)
  20. Cacciari, Matteo; Salam, Gavin P.; Soyez, Gregory: FastJet user manual (for version 3.0.2) (2012)

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