Pileup subtraction using jet areas

By Matteo Cacciari, G. Salam. 2007

1,467 citations recorded by the source corpus.

One of the major challenges for the LHC will be to extract precise information from hadronic final states in the presence of the large number of additional soft pp collisions, pileup, that occur simultaneously with any hard interaction in high luminosity runs. We propose a novel technique, based on jet areas, that provides jet-by-jet corrections for pileup and underlying-event effects. It is data driven, does not depend on Monte Carlo modelling and can be used with any jet algorithm for which a jet area can be sensibly defined. We illustrate its effectiveness for some key processes and find that it can be applied also in the context of the Tevatron, low-luminosity LHC and LHC heavy-ion collisions.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/4f44265d25d1e8155e863cbcf7960226848a8e68

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In Nuclear and High Energy Physics

Citations in the corpus

Physics at a 100 TeV pp collider: Higgs and EW symmetry breaking studies (2016, background): “3 (AKT03) subjets to the original large-R jets [224, 226, 233, 234].”
Performance of photon reconstruction and identification with the CMS detector in proton-proton collisions at √s = 8 TeV (2015, background): “The extra contribution in the isolation region is estimated as ρ Aeff, where ρ is the median of the transverse energy density per unit area in the event [26] and Aeff is the area of the isolation region weighted by a factor that takes into account the dependence of the pileup transverse energy densi”
Particle-flow reconstruction and global event description with the CMS detector (2017, methodology): “The pT density from pileup interactions ρ can be calculated with jet clustering techniques [45, 57, 58], with the list of all reconstructed particles as input.”
Search for new phenomena in final states with large jet multiplicities and missing transverse momentum at sqrt(s)=8 TeV proton-proton collisions using the ATLAS experiment (2013, neutral): “[30], which estimates the pile-up activity in any given event, as well as the sensitivity of any given jet to pile-up.”
Identification techniques for highly boosted W bosons that decay into hadrons (2014, methodology): “The VV production processes are simulated with PYTHIA 6.”
Search for the standard model Higgs boson decaying into two photons in $pp$ collisions at $\sqrt{s}=7$ TeV (2012, methodology): “This energy is subtracted using the FASTJET technique [38–40], which”
Search for neutral MSSM Higgs bosons decaying to a pair of tau leptons in pp collisions (2014, methodology): “The pileup contribution to the jet energy is estimated as the product of ρ and the area of the jet and subsequently subtracted from the jet transverse momentum [63].”
Search for new physics in the multijet and missing transverse momentum final state in proton-proton collisions at $ \sqrt{s} $ = 8 TeV (2014, methodology): “Contributions from additional pp collisions overlapping with the event of interest (pileup) are mitigated by discarding charged particles not associated with the primary vertex and using the Fastjet tools [25, 26] to account for the neutral pileup component.”
Jet energy scale measurements and their systematic uncertainties in proton-proton collisions at √s=13 TeV with the ATLAS detector (2017, neutral): “Tracks are assigned to jets using ghost association [15], a procedure that treats them as four-vectors of infinitesimal magnitude during the jet reconstruction and assigns them to the jet with which they are clustered.”
Evidence for the Higgs boson decay to a bottom quark–antiquark pair (2018, methodology): “In addition, the average neutral energy density from pileup interactions is evaluated from PF objects and subtracted from the reconstructed jets in the event and from the summed energy in the isolation criteria used for leptons [72].”
Performance of CMS muon reconstruction in pp collision events at √s = 7 TeV (2012, methodology): “One such technique is based on the measurement, event-by-event, of the average transverse momentum per unit area ρ added to the event by minimum-bias pile-up collisions [48].”
Electron and photon performance measurements with the ATLAS detector using the 2015–2017 LHC proton-proton collision data (2019, background): “Additionally, a correction for the pile-up and underlying-event contribution to the isolation cone is also estimated [39].”
Energy correlation functions for jet substructure (2013, background): “Many procedures have been developed not only for identifying and classifying jets [3–9] but also for removing jet contamination due to underlying event or pile-up [5, 10–14].”