skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

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

Journal Article · · Journal of Instrumentation
 [1];  [2];  [3];  [1];  [4];  [5];  [5]
  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)
+ Show Author Affiliations

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.

Research Organization:
Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1416558
Report Number(s):
FERMILAB-PUB-17-347-E; MIT-CTP-4935; arXiv:1709.08705; 1625742
Journal Information:
Journal of Instrumentation, Vol. 13, Issue 01; ISSN 1748-0221
Publisher:
Institute of Physics (IOP)Copyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 10 works
Citation information provided by
Web of Science

References (41)

WW scattering at the CERN LHC journal May 2002
Reconstructing sparticle mass spectra using hadronic decays journal May 2007
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
Towards an understanding of the correlations in jet substructure: Report of BOOST2013, hosted by the University of Arizona, 12th–16th of August 2013 journal September 2015
Measurement of jet charge in dijet events from s = 8     TeV p p collisions with the ATLAS detector journal March 2016
Measurement of the charged-particle multiplicity inside jets from $$\sqrt{s}=8$$ s = 8 $${\mathrm{TeV}}$$ TeV  pp collisions with the ATLAS detector journal June 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
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
Decorrelated jet substructure tagging using adversarial neural networks journal October 2017
Jet trimming journal February 2010
Recombination algorithms and jet substructure: Pruning as a tool for heavy particle searches journal May 2010
Towards an understanding of jet substructure journal September 2013
Soft drop journal May 2014
Identifying boosted objects with N-subjettiness journal March 2011
Systematics of quark/gluon tagging journal July 2017
Maximizing boosted top identification by minimizing N-subjettiness journal February 2012
Energy correlation functions for jet substructure journal June 2013
Analytic boosted boson discrimination journal May 2016
New angles on energy correlation functions journal December 2016
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
Gaining (mutual) information about quark/gluon discrimination journal November 2014
Dichroic subjettiness ratios to distinguish colour flows in boosted boson tagging journal March 2017
Jet-images — deep learning edition journal July 2016
How much information is in a jet? journal June 2017
Power counting to better jet observables journal December 2014
Identification techniques for highly boosted W bosons that decay into hadrons journal December 2014
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
Pileup per particle identification journal October 2014
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
A generic anti-QCD jet tagger journal November 2017

Cited By (3)

Aspects of track-assisted mass journal March 2019
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

Figures / Tables (15)

Table 1(p. 5)table Table 1
Figure 1(p. 9)figure Figure 1
Figure 2(p. 10)figure Figure 2
Figure 3(p. 10)figure Figure 3
Figure 4(p. 12)figure Figure 4
Figure 5(p. 13)figure Figure 5
Table 2(p. 14)table Table 2
Figure 6(p. 16)figure Figure 6
Figure 7(p. 17)figure Figure 7
Figure 8(p. 18)figure Figure 8
Figure 9(p. 20)figure Figure 9
Figure 10(p. 21)figure Figure 10
Figure 11(p. 21)figure Figure 11
Figure 12(p. 25)figure Figure 12
Figure 13(p. 26)figure Figure 13

Similar Records

The International Large Detector: Letter of Intent
Technical Report · Mon Feb 01 00:00:00 EST 2010 · OSTI ID:1416558
+8 more
Search for the Standard Model Higgs boson produced in association with a W Boson in the isolated-track charged-lepton channel using the Collider Detector at Fermilab
Thesis/Dissertation · Mon Aug 01 00:00:00 EDT 2011 · OSTI ID:1416558
Tracking down hyper-boosted top quarks
Journal Article · Fri Jun 05 00:00:00 EDT 2015 · Journal of High Energy Physics (Online) · OSTI ID:1416558

Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS