Jet Substructure Studies with CMS Open Data
Aashish Tripathee, Wei Xue, Andrew Larkoski, Simone Marzani, Jesse, Thaler

TL;DR
This study analyzes the 2-prong substructure of jets using CMS Open Data from 2010, comparing results with simulations and analytic calculations to validate jet substructure techniques.
Contribution
It demonstrates the feasibility of using public CMS data for detailed jet substructure analysis and validates the results against simulations and theoretical models.
Findings
Good agreement with parton shower generators
Validation of substructure techniques with track-only observables
Successful application of soft drop declustering
Abstract
We use public data from the CMS experiment to study the 2-prong substructure of jets. The CMS Open Data is based on 31.8/pb 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 2-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. Although the 2010 CMS Open Data does not include simulated data to help estimate systematic uncertainties, we use track-only observables to validate these substructure studies.
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Taxonomy
TopicsScientific Computing and Data Management · Big Data Technologies and Applications · Particle physics theoretical and experimental studies
