Techniques for improved heavy particle searches with jet substructure

By S. D. Ellis, C. Vermilion, Jonathan R. Walsh. 2009

361 citations recorded by the source corpus.

We present a generic method for improving the effectiveness of heavy particle searches in hadronic channels at the Large Hadron Collider. By selectively removing, or pruning, protojets from the substructure provided by a k{sub T}-type jet algorithm, we improve the mass resolution for heavy decays and decrease the QCD background. We show that the protojets removed are typical of soft radiation and underlying event contributions, and atypical of accurately reconstructed heavy particles.

Subfields: Nuclear and High Energy Physics

View Paper: https://www.semanticscholar.org/paper/eda3917e5764246e41428bd0ed44c7547106cc3b

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In Nuclear and High Energy Physics

Citations in the corpus

Efficient identification of boosted semileptonic top quarks at the LHC (2010, neutral): “[10] S.”
Soft drop (2014, neutral): “[59, 60] considered the analytic behavior of three of the most commonly used jet tagging/grooming methods — trimming [53], pruning [54, 55], and mass drop tagging [6].”
Power counting to better jet observables (2014, methodology): “Several methods for jet grooming and pile-up subtraction have been presented [47, 73, 81–88], and are used by the experiments [6, 16–18, 21], but we will not consider them here.”
Boosted objects and jet substructure at the LHC. Report of BOOST2012, held at IFIC Valencia, 23rd–27th of July 2012 (2013, neutral): “[92].”
Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure (2016, background): “1, jet pruning [8, 9], and soft drop [12] with zcut = 0.”
Jet trimming (2009, methodology): “In the past, most studies focused on boosted hadronically decaying particles like the W/Z [5, 6], Higgs [7, 8], and top [9, 10, 11, 12],4 where the procedure is optimized toward improving the jet mass resolution.”
Finding physics signals with shower deconstruction (2011, neutral): “Two of these methods, trimming [1] and pruning [2, 3] can be characterized as generic in that they have the potential to discover new physics signals even if one does not have in mind a particular new physics scenario.”
Towards an understanding of jet substructure (2013, methodology): “The three commonly used methods that we concentrate on are: the mass-drop tagger (MDT) [23], pruning [35, 36] and trimming [37].”
Identification techniques for highly boosted W bosons that decay into hadrons (2014, methodology): “For this reason, the use of jet grooming methods such as filtering [48], trimming [49], or pruning [50, 51], improves discrimination by removing the softer radiation, as this shifts the jet mass of QCD jets to smaller values, while maintaining the jet mass for W jets close to the W mass.”
Pileup per particle identification (2014, background): “filtering [13], pruning [14, 15], trimming [16], soft drop [17]): systematically discards a subset of a jet’s constituents that are believed to obscure the signal process.”
Maximizing boosted top identification by minimizing N-subjettiness (2011, neutral): “The five algorithms shown in figure 1 are referred to as “Hopkins” [19], “CMS” [58–60], “Pruning” [27, 28], “ATLAS” [17, 61, 62], and “Thaler/Wang” [18].”
Jet substructure at the Tevatron and LHC: new results, new tools, new benchmarksReport prepared by the participants of the BOOST 2011 Workshop at Princeton University, 22–26 May 2011. L Asquith (lasquith@hep.anl.gov), S Rappoccio (rappocc@fnal.gov) and C K Vermilion (verm@uw.edu), editors. (2011, methodology): “The W -tagging algorithm is based on jet pruning [33, 34], adding a requirement on the mass drop of the subjet splitting, which was motivated by the BDRS subjet/filter algorithm [35].”