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Title: Tagging boosted hadronic objects with dynamical grooming

Abstract

We evaluate the phenomenological applicability of the dynamical grooming technique, introduced in [1], to boosted W and top tagging at LHC conditions. An extension of our method intended for multi-prong decays with an internal mass scale, such as the top quark decay, is presented. First, we tackle the reconstruction of the mass distribution of W and top jets quantifying the smearing due to pileup. When compared to state-of-the-art grooming algorithms like SoftDrop and its recursive version, dynamical grooming shows an enhanced resilience to background fluctuations. In addition, we asses the discriminating power of dynamical grooming to distinguish W (top) jets from QCD ones by performing a two-step analysis: introduce a cut on the groomed mass around the W (top) mass peak followed by a restriction on the N-subjettinnes ratio τ21 (τ32). For W jets, the out-of-the-box version of dynamical grooming, free of ad-hoc parameters, results into a comparable performance to SoftDrop. Regarding the top tagger efficiency, 3-prong dynamical grooming, in spite of its simplicity, presents better performance than SoftDrop and similar results to Recursive SoftDrop.

Authors:
; ; ORCiD logo
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP); Trond Mohn Foundation
OSTI Identifier:
1734422
Alternate Identifier(s):
OSTI ID: 1763350
Report Number(s):
BNL-220906-2021-JAAM
Journal ID: ISSN 2470-0010; PRVDAQ; 114013
Grant/Contract Number:  
SC0012704; BFS2018REK01
Resource Type:
Published Article
Journal Name:
Physical Review D
Additional Journal Information:
Journal Name: Physical Review D Journal Volume: 102 Journal Issue: 11; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; Perturbative QCD; quark & gluon jets; top quark; W & Z bosons

Citation Formats

Mehtar-Tani, Yacine, Soto-Ontoso, Alba, and Tywoniuk, Konrad. Tagging boosted hadronic objects with dynamical grooming. United States: N. p., 2020. Web. https://doi.org/10.1103/PhysRevD.102.114013.
Mehtar-Tani, Yacine, Soto-Ontoso, Alba, & Tywoniuk, Konrad. Tagging boosted hadronic objects with dynamical grooming. United States. https://doi.org/10.1103/PhysRevD.102.114013
Mehtar-Tani, Yacine, Soto-Ontoso, Alba, and Tywoniuk, Konrad. Mon . "Tagging boosted hadronic objects with dynamical grooming". United States. https://doi.org/10.1103/PhysRevD.102.114013.
@article{osti_1734422,
title = {Tagging boosted hadronic objects with dynamical grooming},
author = {Mehtar-Tani, Yacine and Soto-Ontoso, Alba and Tywoniuk, Konrad},
abstractNote = {We evaluate the phenomenological applicability of the dynamical grooming technique, introduced in [1], to boosted W and top tagging at LHC conditions. An extension of our method intended for multi-prong decays with an internal mass scale, such as the top quark decay, is presented. First, we tackle the reconstruction of the mass distribution of W and top jets quantifying the smearing due to pileup. When compared to state-of-the-art grooming algorithms like SoftDrop and its recursive version, dynamical grooming shows an enhanced resilience to background fluctuations. In addition, we asses the discriminating power of dynamical grooming to distinguish W (top) jets from QCD ones by performing a two-step analysis: introduce a cut on the groomed mass around the W (top) mass peak followed by a restriction on the N-subjettinnes ratio τ21 (τ32). For W jets, the out-of-the-box version of dynamical grooming, free of ad-hoc parameters, results into a comparable performance to SoftDrop. Regarding the top tagger efficiency, 3-prong dynamical grooming, in spite of its simplicity, presents better performance than SoftDrop and similar results to Recursive SoftDrop.},
doi = {10.1103/PhysRevD.102.114013},
journal = {Physical Review D},
number = 11,
volume = 102,
place = {United States},
year = {2020},
month = {12}
}

Journal Article:
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https://doi.org/10.1103/PhysRevD.102.114013

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Works referenced in this record:

Dynamical grooming of QCD jets
journal, February 2020


Jet Substructure as a New Higgs-Search Channel at the Large Hadron Collider
journal, June 2008


The anti- k t jet clustering algorithm
journal, April 2008


Collinear drop
journal, June 2020

  • Chien, Yang-Ting; Stewart, Iain W.
  • Journal of High Energy Physics, Vol. 2020, Issue 6
  • DOI: 10.1007/JHEP06(2020)064

Looking Inside Jets: An Introduction to Jet Substructure and Boosted-object Phenomenology
book, January 2019


Maximizing boosted top identification by minimizing N-subjettiness
journal, February 2012


Soft drop
journal, May 2014

  • Larkoski, Andrew J.; Marzani, Simone; Soyez, Gregory
  • Journal of High Energy Physics, Vol. 2014, Issue 5
  • DOI: 10.1007/JHEP05(2014)146

Background estimator for jet studies in p + p and A + A collisions
journal, December 2019


The soft drop groomed jet radius at NLL
journal, February 2020

  • Kang, Zhong-Bo; Lee, Kyle; Liu, Xiaohui
  • Journal of High Energy Physics, Vol. 2020, Issue 2
  • DOI: 10.1007/JHEP02(2020)054

Particle-level pileup subtraction for jets and jet shapes
journal, June 2014

  • Berta, Peter; Spousta, Martin; Miller, David W.
  • Journal of High Energy Physics, Vol. 2014, Issue 6
  • DOI: 10.1007/JHEP06(2014)092

Recursive Soft Drop
journal, June 2018

  • Dreyer, Frédéric A.; Necib, Lina; Soyez, Gregory
  • Journal of High Energy Physics, Vol. 2018, Issue 6
  • DOI: 10.1007/JHEP06(2018)093

A brief introduction to PYTHIA 8.1
journal, June 2008

  • Sjöstrand, Torbjörn; Mrenna, Stephen; Skands, Peter
  • Computer Physics Communications, Vol. 178, Issue 11
  • DOI: 10.1016/j.cpc.2008.01.036

How to GAN LHC events
journal, January 2019


Simulation assisted likelihood-free anomaly detection
journal, May 2020


Top Tagging: A Method for Identifying Boosted Hadronically Decaying Top Quarks
journal, October 2008


Modification of jet substructure in heavy ion collisions as a probe of the resolution length of quark-gluon plasma
journal, January 2020

  • Casalderrey-Solana, J.; Milhano, G.; Pablos, D.
  • Journal of High Energy Physics, Vol. 2020, Issue 1
  • DOI: 10.1007/JHEP01(2020)044

Energy correlation functions for jet substructure
journal, June 2013

  • Larkoski, Andrew J.; Salam, Gavin P.; Thaler, Jesse
  • Journal of High Energy Physics, Vol. 2013, Issue 6
  • DOI: 10.1007/JHEP06(2013)108

Identification of boosted, hadronically decaying W bosons and comparisons with ATLAS data taken at $$\sqrt{s} = 8$$ s = 8  TeV
journal, March 2016


The Lund jet plane
journal, December 2018

  • Dreyer, Frédéric A.; Salam, Gavin P.; Soyez, Grégory
  • Journal of High Energy Physics, Vol. 2018, Issue 12
  • DOI: 10.1007/JHEP12(2018)064

Measurement of groomed jet substructure observables in p+p collisions at s = 200 GeV with STAR
journal, December 2020


Exploration of jet substructure using iterative declustering in pp and Pb–Pb collisions at LHC energies
journal, March 2020


Jet grooming through reinforcement learning
journal, July 2019


FastJet user manual: (for version 3.0.2)
journal, March 2012


Energy flow polynomials: a complete linear basis for jet substructure
journal, April 2018

  • Komiske, Patrick T.; Metodiev, Eric M.; Thaler, Jesse
  • Journal of High Energy Physics, Vol. 2018, Issue 4
  • DOI: 10.1007/JHEP04(2018)013

Anomaly detection with density estimation
journal, April 2020


Jet substructure at the Large Hadron Collider
journal, December 2019


Recombination algorithms and jet substructure: Pruning as a tool for heavy particle searches
journal, May 2010

  • Ellis, Stephen D.; Vermilion, Christopher K.; Walsh, Jonathan R.
  • Physical Review D, Vol. 81, Issue 9
  • DOI: 10.1103/PhysRevD.81.094023

Machine-learning-based jet momentum reconstruction in heavy-ion collisions
journal, June 2019


The groomed and ungroomed jet mass distribution for inclusive jet production at the LHC
journal, October 2018

  • Kang, Zhong-Bo; Lee, Kyle; Liu, Xiaohui
  • Journal of High Energy Physics, Vol. 2018, Issue 10
  • DOI: 10.1007/JHEP10(2018)137

Identifying boosted objects with N-subjettiness
journal, March 2011


A search for the standard model Higgs boson decaying to charm quarks
journal, March 2020

  • Sirunyan, A. M.; Tumasyan, A.; Adam, W.
  • Journal of High Energy Physics, Vol. 2020, Issue 3
  • DOI: 10.1007/JHEP03(2020)131

Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning
journal, November 2019


Pileup and underlying event mitigation with iterative constituent subtraction
journal, August 2019

  • Berta, P.; Masetti, L.; Miller, D. W.
  • Journal of High Energy Physics, Vol. 2019, Issue 8
  • DOI: 10.1007/JHEP08(2019)175

Pileup subtraction using jet areas
journal, January 2008


Jet substructure with analytical methods
journal, November 2013


Towards an understanding of jet substructure
journal, September 2013

  • Dasgupta, Mrinal; Fregoso, Alessandro; Marzani, Simone
  • Journal of High Energy Physics, Vol. 2013, Issue 9
  • DOI: 10.1007/JHEP09(2013)029

Extending the search for new resonances with machine learning
journal, January 2019


Casimir meets Poisson: improved quark/gluon discrimination with counting observables
journal, September 2017

  • Frye, Christopher; Larkoski, Andrew J.; Thaler, Jesse
  • Journal of High Energy Physics, Vol. 2017, Issue 9
  • DOI: 10.1007/JHEP09(2017)083

Coherence effects in deep inelastic scattering
journal, December 1989

  • Andersson, B.; Gustafson, G.; L�nnblad, L.
  • Zeitschrift f�r Physik C Particles and Fields, Vol. 43, Issue 4
  • DOI: 10.1007/BF01550942

The jet mass distribution after Soft Drop
journal, February 2018


Computing N -subjettiness for boosted jets
journal, December 2018

  • Napoletano, Davide; Soyez, Gregory
  • Journal of High Energy Physics, Vol. 2018, Issue 12
  • DOI: 10.1007/JHEP12(2018)031

Deciphering the 𝓏g distribution in ultrarelativistic heavy ion collisions
journal, October 2019

  • Caucal, P.; Iancu, E.; Soyez, G.
  • Journal of High Energy Physics, Vol. 2019, Issue 10
  • DOI: 10.1007/JHEP10(2019)273

Jet trimming
journal, February 2010

  • Krohn, David; Thaler, Jesse; Wang, Lian-Tao
  • Journal of High Energy Physics, Vol. 2010, Issue 2
  • DOI: 10.1007/JHEP02(2010)084

Measurement of soft-drop jet observables in p p collisions with the ATLAS detector at s = 13 TeV
journal, March 2020


Novel tools and observables for jet physics in heavy-ion collisions
journal, April 2020

  • Andrews, Harry Arthur; Apolinario, Liliana; Bertens, Redmer Alexander
  • Journal of Physics G: Nuclear and Particle Physics, Vol. 47, Issue 6
  • DOI: 10.1088/1361-6471/ab7cbc

Better jet clustering algorithms
journal, August 1997