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Title: Jet substructure studies with CMS open data

Abstract

We utilize public data from the CMS experiment to study the two-prong substructure of jets. The CMS open data are based on 31.8 pb-1 of 7 TeV proton-proton collisions recorded at the Large Hadron Collider in 2010, yielding a sample of 768,687 events containing a high-quality central jet with transverse momentum larger than 85 GeV. Using CMS’s particle flow reconstruction algorithm to obtain jet constituents, we extract the two-prong substructure of the leading jet using soft-drop declustering. We find good agreement between results obtained from the CMS open data and those obtained from parton shower generators, and we also compare to analytic jet substructure calculations performed to modified leading-logarithmic accuracy. Even though the 2010 CMS open data do not include simulated data to help estimate systematic uncertainties, we use track-only observables to validate these substructure studies.

Authors:
 [1];  [1];  [2];  [3];  [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
  2. Reed College, Portland, OR (United States)
  3. State Univ. of New York, Buffalo, NY (United States)
Publication Date:
Research Org.:
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP)
OSTI Identifier:
1511829
Alternate Identifier(s):
OSTI ID: 1396309
Grant/Contract Number:  
SC0012567; SC-00012567; SC-00015476
Resource Type:
Accepted Manuscript
Journal Name:
Physical Review. D.
Additional Journal Information:
Journal Volume: 96; Journal Issue: 7; Journal ID: ISSN 2470-0010
Publisher:
American Physical Society (APS)
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Tripathee, Aashish, Xue, Wei, Larkoski, Andrew, Marzani, Simone, and Thaler, Jesse. Jet substructure studies with CMS open data. United States: N. p., 2017. Web. doi:10.1103/physrevd.96.074003.
Tripathee, Aashish, Xue, Wei, Larkoski, Andrew, Marzani, Simone, & Thaler, Jesse. Jet substructure studies with CMS open data. United States. https://doi.org/10.1103/physrevd.96.074003
Tripathee, Aashish, Xue, Wei, Larkoski, Andrew, Marzani, Simone, and Thaler, Jesse. Tue . "Jet substructure studies with CMS open data". United States. https://doi.org/10.1103/physrevd.96.074003. https://www.osti.gov/servlets/purl/1511829.
@article{osti_1511829,
title = {Jet substructure studies with CMS open data},
author = {Tripathee, Aashish and Xue, Wei and Larkoski, Andrew and Marzani, Simone and Thaler, Jesse},
abstractNote = {We utilize public data from the CMS experiment to study the two-prong substructure of jets. The CMS open data are based on 31.8 pb-1 of 7 TeV proton-proton collisions recorded at the Large Hadron Collider in 2010, yielding a sample of 768,687 events containing a high-quality central jet with transverse momentum larger than 85 GeV. Using CMS’s particle flow reconstruction algorithm to obtain jet constituents, we extract the two-prong substructure of the leading jet using soft-drop declustering. We find good agreement between results obtained from the CMS open data and those obtained from parton shower generators, and we also compare to analytic jet substructure calculations performed to modified leading-logarithmic accuracy. Even though the 2010 CMS open data do not include simulated data to help estimate systematic uncertainties, we use track-only observables to validate these substructure studies.},
doi = {10.1103/physrevd.96.074003},
journal = {Physical Review. D.},
number = 7,
volume = 96,
place = {United States},
year = {Tue Oct 03 00:00:00 EDT 2017},
month = {Tue Oct 03 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Citation Metrics:
Cited by: 34 works
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Figures / Tables:

TABLE I TABLE I: Jet triggers provided in the Jet Primary Dataset, including the number of events for which the trigger was present and/or fired. Entries marked by * are used in this analysis (see Table II). HNF stands for HcalNoiseFiltered. We do not separate out the different versions of the samemore » trigger in our analysis.« less

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Factorization for groomed jet substructure beyond the next-to-leading logarithm
text, January 2016


A new tagger for hadronically decaying heavy particles at the LHC
text, January 2016


Groomed jets in heavy-ion collisions: sensitivity to medium-induced bremsstrahlung
text, January 2016


Systematics of quark/gluon tagging
text, January 2017


Exposing the QCD Splitting Function with CMS Open Data
text, January 2017


A standard format for Les Houches Event Files
text, January 2006


Better Jet Clustering Algorithms
text, January 1997


Shape, transverse size, and charged hadron multiplicity of jets in pp collisions at \sqrt{s} = 7 TeV
text, January 2012


Quark and gluon jet substructure
journal, April 2013

  • Gallicchio, Jason; Schwartz, Matthew D.
  • Journal of High Energy Physics, Vol. 2013, Issue 4
  • DOI: 10.1007/jhep04(2013)090

Mini-AOD: A New Analysis Data Format for CMS
journal, December 2015


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


A new tagger for hadronically decaying heavy particles at the LHC
journal, November 2016


A Brief Introduction to PYTHIA 8.1
text, January 2007


Boosting Higgs discovery - the forgotten channel
text, January 2010


Unsafe but Calculable: Ratios of Angularities in Perturbative QCD
text, January 2013


Associated jet and subjet rates in light-quark and gluon jet discrimination
text, January 2015


Works referencing / citing this record:

Open is not enough
journal, November 2018


Searching in CMS open data for dimuon resonances with substantial transverse momentum
journal, July 2019


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


Measurement of the Splitting Function in p p and Pb-Pb Collisions at s N N = 5.02 TeV
journal, April 2018


Measurements of Two-Particle Correlations in e + e Collisions at 91 GeV with ALEPH Archived Data
journal, November 2019


Novel subjet observables for jet quenching in heavy-ion collisions
journal, June 2018

  • Apolinário, Liliana; Milhano, José Guilherme; Ploskon, Mateusz
  • The European Physical Journal C, Vol. 78, Issue 6
  • DOI: 10.1140/epjc/s10052-018-5999-2

Measurement of soft-drop jet observables in pp collisions with the ATLAS detector at s =13 TeV
text, January 2020

  • Aad, G.; Abbott, B.; Abbott, Dc
  • Apollo - University of Cambridge Repository
  • DOI: 10.17863/cam.54315

Quark jet versus gluon jet: fully-connected neural networks with high-level features
journal, June 2019

  • Luo, Hui; Luo, Ming-Xing; Wang, Kai
  • Science China Physics, Mechanics & Astronomy, Vol. 62, Issue 9
  • DOI: 10.1007/s11433-019-9390-8

Searching in CMS Open Data for Dimuon Resonances with Substantial Transverse Momentum
text, January 2019


Photon isolation and jet substructure
journal, September 2018


Interaction networks for the identification of boosted H b b ¯ decays
journal, July 2020


Theory predictions for the pull angle
journal, May 2019


Measurement of the Splitting Function in pp and Pb-Pb Collisions at √sNN=5.02  TeV
text, January 2018


Measurement of soft-drop jet observables in $pp$ collisions with the ATLAS detector at $\sqrt {s}$ =13 TeV
text, January 2020

  • Aad, Georges; Abbott, Brad; Abbott, Dale Charles
  • Deutsches Elektronen-Synchrotron, DESY, Hamburg
  • DOI: 10.3204/pubdb-2020-02524

Recursive Soft Drop
text, January 2018


Looking inside jets: an introduction to jet substructure and boosted-object phenomenology
text, January 2019


Exploring the Space of Jets with CMS Open Data
text, January 2019