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Title: The importance of calorimetry for highly-boosted jet substructure

Abstract

Here, jet substructure techniques are playing an essential role in exploring the TeV scale at the Large Hadron Collider (LHC), since they facilitate the efficient reconstruction and identification of highly-boosted objects. Both for the LHC and for future colliders, there is a growing interest in using jet substructure methods based only on charged-particle information. The reason is that silicon-based tracking detectors offer excellent granularity and precise vertexing, which can improve the angular resolution on highly-collimated jets and mitigate the impact of pileup. In this paper, we assess how much jet substructure performance degrades by using track-only information, and we demonstrate physics contexts in which calorimetry is most beneficial. Specifically, we consider five different hadronic final states - W bosons, Z bosons, top quarks, light quarks, gluons - and test the pairwise discrimination power with a multi-variate combination of substructure observables. In the idealized case of perfect reconstruction, we quantify the loss in discrimination performance when using just charged particles compared to using all detected particles. We also consider the intermediate case of using charged particles plus photons, which provides valuable information about neutral pions. In the more realistic case of a segmented calorimeter, we assess the potential performance gains frommore » improving calorimeter granularity and resolution, comparing a CMS-like detector to more ambitious future detector concepts. Broadly speaking, we find large performance gains from neutral-particle information and from improved calorimetry in cases where jet mass resolution drives the discrimination power, whereas the gains are more modest if an absolute mass scale calibration is not required.« less

Authors:
 [1];  [2];  [3];  [1];  [4];  [5];  [5]
+ Show Author Affiliations
  1. Brown Univ., Providence, RI (United States)
  2. Univ. of Oregon, Eugene, OR (United States)
  3. Univ. of Hamburg, Hamburg (Germany)
  4. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  5. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Publication Date:
Research Org.:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1416558
Report Number(s):
FERMILAB-PUB-17-347-E; MIT-CTP-4935; arXiv:1709.08705
Journal ID: ISSN 1748-0221; 1625742
Grant/Contract Number:  
AC02-07CH11359
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Instrumentation
Additional Journal Information:
Journal Volume: 13; Journal Issue: 01; Journal ID: ISSN 1748-0221
Publisher:
Institute of Physics (IOP)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Coleman, Evan, Freytsis, Marat, Hinzmann, Andreas, Narain, Meenakshi, Thaler, Jesse, Tran, Nhan, and Vernieri, Caterina. The importance of calorimetry for highly-boosted jet substructure. United States: N. p., 2018. Web. doi:10.1088/1748-0221/13/01/T01003.
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Coleman, Evan, Freytsis, Marat, Hinzmann, Andreas, Narain, Meenakshi, Thaler, Jesse, Tran, Nhan, & Vernieri, Caterina. The importance of calorimetry for highly-boosted jet substructure. United States. https://doi.org/10.1088/1748-0221/13/01/T01003
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Coleman, Evan, Freytsis, Marat, Hinzmann, Andreas, Narain, Meenakshi, Thaler, Jesse, Tran, Nhan, and Vernieri, Caterina. Tue . "The importance of calorimetry for highly-boosted jet substructure". United States. https://doi.org/10.1088/1748-0221/13/01/T01003. https://www.osti.gov/servlets/purl/1416558.
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@article{osti_1416558,
title = {The importance of calorimetry for highly-boosted jet substructure},
author = {Coleman, Evan and Freytsis, Marat and Hinzmann, Andreas and Narain, Meenakshi and Thaler, Jesse and Tran, Nhan and Vernieri, Caterina},
abstractNote = {Here, jet substructure techniques are playing an essential role in exploring the TeV scale at the Large Hadron Collider (LHC), since they facilitate the efficient reconstruction and identification of highly-boosted objects. Both for the LHC and for future colliders, there is a growing interest in using jet substructure methods based only on charged-particle information. The reason is that silicon-based tracking detectors offer excellent granularity and precise vertexing, which can improve the angular resolution on highly-collimated jets and mitigate the impact of pileup. In this paper, we assess how much jet substructure performance degrades by using track-only information, and we demonstrate physics contexts in which calorimetry is most beneficial. Specifically, we consider five different hadronic final states - W bosons, Z bosons, top quarks, light quarks, gluons - and test the pairwise discrimination power with a multi-variate combination of substructure observables. In the idealized case of perfect reconstruction, we quantify the loss in discrimination performance when using just charged particles compared to using all detected particles. We also consider the intermediate case of using charged particles plus photons, which provides valuable information about neutral pions. In the more realistic case of a segmented calorimeter, we assess the potential performance gains from improving calorimeter granularity and resolution, comparing a CMS-like detector to more ambitious future detector concepts. Broadly speaking, we find large performance gains from neutral-particle information and from improved calorimetry in cases where jet mass resolution drives the discrimination power, whereas the gains are more modest if an absolute mass scale calibration is not required.},
doi = {10.1088/1748-0221/13/01/T01003},
journal = {Journal of Instrumentation},
number = 01,
volume = 13,
place = {United States},
year = {Tue Jan 09 00:00:00 EST 2018},
month = {Tue Jan 09 00:00:00 EST 2018}
}
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Journal Article:
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Publisher's Version of Record
https://doi.org/10.1088/1748-0221/13/01/T01003
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Figures / Tables:

Table 1 Table 1: A summary of the observables used in the analysis, roughly divided into mass-like and shape-like categories.
All figures and tables (15 total)
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Works referenced in this record:

WW scattering at the CERN LHC
journal, May 2002

Reconstructing sparticle mass spectra using hadronic decays
journal, May 2007

  • Butterworth, Jonathan M.; Ellis, John R.; Raklev, Are R.
  • Journal of High Energy Physics, Vol. 2007, Issue 05
  • DOI: 10.1088/1126-6708/2007/05/033

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

Boosted objects: a probe of beyond the standard model physics
journal, June 2011

Jet substructure at the Tevatron and LHC: new results, new tools, new benchmarks
journal, May 2012

Measurement of jet charge in dijet events from s = 8     TeV p p collisions with the ATLAS detector
journal, March 2016

Calculating Track-Based Observables for the LHC
journal, September 2013

Particle-flow reconstruction and global event description with the CMS detector
journal, October 2017

The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
journal, July 2014

  • Alwall, J.; Frederix, R.; Frixione, S.
  • Journal of High Energy Physics, Vol. 2014, Issue 7
  • DOI: 10.1007/JHEP07(2014)079

Parton distributions with LHC data
journal, February 2013

Tuning PYTHIA 8.1: the Monash 2013 tune
journal, August 2014

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

Dispelling the <mml:math altimg="si1.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msup><mml:mi>N</mml:mi><mml:mn>3</mml:mn></mml:msup></mml:math> myth for the <mml:math altimg="si2.gif" overflow="scroll" xmlns:xocs="http://www.elsevier.com/xml/xocs/dtd" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.elsevier.com/xml/ja/dtd" xmlns:ja="http://www.elsevier.com/xml/ja/dtd" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:tb="http://www.elsevier.com/xml/common/table/dtd" xmlns:sb="http://www.elsevier.com/xml/common/struct-bib/dtd" xmlns:ce="http://www.elsevier.com/xml/common/dtd" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:cals="http://www.elsevier.com/xml/common/cals/dtd"><mml:msub><mml:mi>k</mml:mi><mml:mi>t</mml:mi></mml:msub></mml:math> jet-finder
journal, September 2006

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

Thinking outside the ROCs: Designing Decorrelated Taggers (DDT) for jet substructure
journal, May 2016

  • Dolen, James; Harris, Philip; Marzani, Simone
  • Journal of High Energy Physics, Vol. 2016, Issue 5
  • DOI: 10.1007/JHEP05(2016)156

Decorrelated jet substructure tagging using adversarial neural networks
journal, October 2017

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

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

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

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

Identifying boosted objects with N-subjettiness
journal, March 2011

Systematics of quark/gluon tagging
journal, July 2017

  • Gras, Philippe; Höche, Stefan; Kar, Deepak
  • Journal of High Energy Physics, Vol. 2017, Issue 7
  • DOI: 10.1007/JHEP07(2017)091

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

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

Analytic boosted boson discrimination
journal, May 2016

  • Larkoski, Andrew J.; Moult, Ian; Neill, Duff
  • Journal of High Energy Physics, Vol. 2016, Issue 5
  • DOI: 10.1007/JHEP05(2016)117

New angles on energy correlation functions
journal, December 2016

  • Moult, Ian; Necib, Lina; Thaler, Jesse
  • Journal of High Energy Physics, Vol. 2016, Issue 12
  • DOI: 10.1007/JHEP12(2016)153

Search for a Higgs boson in the decay channel H → ZZ(*) → q $ \overline {\text{q}} $ ℓ − ℓ + in pp collisions at $ \sqrt {s} = 7 $ TeV
journal, April 2012

  • Chatrchyan, S.; Khachatryan, V.; Sirunyan, A. M.
  • Journal of High Energy Physics, Vol. 2012, Issue 4
  • DOI: 10.1007/JHEP04(2012)036

Gaining (mutual) information about quark/gluon discrimination
journal, November 2014

  • Larkoski, Andrew J.; Thaler, Jesse; Waalewijn, Wouter J.
  • Journal of High Energy Physics, Vol. 2014, Issue 11
  • DOI: 10.1007/JHEP11(2014)129

Dichroic subjettiness ratios to distinguish colour flows in boosted boson tagging
journal, March 2017

  • Salam, Gavin P.; Schunk, Lais; Soyez, Gregory
  • Journal of High Energy Physics, Vol. 2017, Issue 3
  • DOI: 10.1007/JHEP03(2017)022

Jet-images — deep learning edition
journal, July 2016

  • de Oliveira, Luke; Kagan, Michael; Mackey, Lester
  • Journal of High Energy Physics, Vol. 2016, Issue 7
  • DOI: 10.1007/JHEP07(2016)069

How much information is in a jet?
journal, June 2017

Power counting to better jet observables
journal, December 2014

  • Larkoski, Andrew J.; Moult, Ian; Neill, Duff
  • Journal of High Energy Physics, Vol. 2014, Issue 12
  • DOI: 10.1007/JHEP12(2014)009

Identification techniques for highly boosted W bosons that decay into hadrons
journal, December 2014

  • Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.
  • Journal of High Energy Physics, Vol. 2014, Issue 12
  • DOI: 10.1007/JHEP12(2014)017

Search for massive resonances decaying into WW, WZ or ZZ bosons in proton-proton collisions at s = 13 $$ \sqrt{s}=13 $$ TeV
journal, March 2017

  • Sirunyan, A. M.; Tumasyan, A.; Adam, W.
  • Journal of High Energy Physics, Vol. 2017, Issue 3
  • DOI: 10.1007/JHEP03(2017)162

Pileup per particle identification
journal, October 2014

  • Bertolini, Daniele; Harris, Philip; Low, Matthew
  • Journal of High Energy Physics, Vol. 2014, Issue 10
  • DOI: 10.1007/JHEP10(2014)059

SoftKiller, a particle-level pileup removal method
journal, February 2015

Pileup Subtraction for Jet Shapes
journal, April 2013

Pileup Mitigation with Machine Learning (PUMML)
journal, December 2017

  • Komiske, Patrick T.; Metodiev, Eric M.; Nachman, Benjamin
  • Journal of High Energy Physics, Vol. 2017, Issue 12
  • DOI: 10.1007/JHEP12(2017)051

A generic anti-QCD jet tagger
journal, November 2017

  • Aguilar-Saavedra, J. A.; Collins, Jack; Mishra, Rashmish K.
  • Journal of High Energy Physics, Vol. 2017, Issue 11
  • DOI: 10.1007/JHEP11(2017)163
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    Works referencing / citing this record:

    Aspects of track-assisted mass
    journal, March 2019

    • Elder, Benjamin T.; Thaler, Jesse
    • Journal of High Energy Physics, Vol. 2019, Issue 3
    • DOI: 10.1007/jhep03(2019)104

    JEDI-net: a jet identification algorithm based on interaction networks
    journal, January 2020

    JEDI-net: a jet identification algorithm based on interaction networks
    text, January 2019

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      Table 2 (p. 14)table
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