Litcius/Paper detail

Exploring the space of jets with CMS open data

Patrick Komiske, Radha Mastandrea, Eric Metodiev, P. Naik, Jesse Thaler

2020Physical review. D/Physical review. D.64 citationsDOIOpen Access PDF

Abstract

We explore the metric space of jets using public collider data from the CMS experiment. Starting from $2.3\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$ of proton-proton collisions at $\sqrt{s}=7\text{ }\text{ }\mathrm{TeV}$ collected at the Large Hadron Collider in 2011, we isolate a sample of 1,690,984 central jets with transverse momentum above 375 GeV. To validate the performance of the CMS detector in reconstructing the energy flow of jets, we compare the CMS Open Data to corresponding simulated data samples for a variety of jet kinematic and substructure observables. Even without detector unfolding, we find very good agreement for track-based observables after using charged hadron subtraction to mitigate the impact of pileup. We perform a range of novel analyses, using the ``energy mover's distance'' (EMD) to measure the pairwise difference between jet energy flows. The EMD allows us to quantify the impact of detector effects, visualize the metric space of jets, extract correlation dimensions, and identify the most and least typical jet configurations. To facilitate future jet studies with CMS Open Data, we make our datasets and analysis code available, amounting to around two gigabytes of distilled data and one hundred gigabytes of simulation files.

Topics & Concepts

PhysicsLarge Hadron ColliderJet (fluid)Particle physicsDetectorColliderPseudorapidityNuclear physicsObservableMetric (unit)HadronObservabilityMechanicsCharged particleEngineeringOpticsMathematicsIonOperations managementApplied mathematicsQuantum mechanicsParticle physics theoretical and experimental studiesParticle Detector Development and PerformanceHigh-Energy Particle Collisions Research