Identifying Heavy-Flavor Jets Using Vectors of Locally Aggregated Descriptors

Abstract

Jets of collimated particles serve a multitude of purposes in high energy collisions. Recently, studies of jet interaction with the quark-gluon plasma (QGP) created in high energy heavy ion collisions are of growing interest, particularly towards understanding partonic energy loss in the QGP medium and its related modifications of the jet shower and fragmentation. Since the QGP is a colored medium, the extent of jet quenching and consequently, the transport properties of the medium are expected to be sensitive to fundamental properties of the jets such as the flavor of the parton that initiates the jet. Identifying the jet flavor enables an extraction of the mass dependence in jet-QGP interactions. We present a novel approach to tagging heavy-flavor jets at collider experiments utilizing the information contained within jet constituents via the \texttt{JetVLAD} model architecture. We show the performance of this model in proton-proton collisions at center of mass energy $\sqrt{s}=200$ GeV as characterized by common metrics and showcase its ability to extract high purity heavy-flavor jet sample at various jet momenta and realistic production cross-sections including a brief discussion on the impact of out-of-time pile-up. Such studies open new opportunities for future high purity heavy-flavor measurements at jet energies accessible at current and future collider experiments.

arXiv comment18 pages, 6 figures and 3 tables. Accepted by JINST

References in corpus (33)

• The anti-k_t jet clustering algorithm
• An Introduction to PYTHIA 8.2
• FastJet user manual
• A General Algorithm for Calculating Jet Cross Sections in NLO QCD
• Better Jet Clustering Algorithms
• The STAR Time Projection Chamber: A Unique Tool for Studying High Multiplicity Events at RHIC
• Identification of b-quark jets with the CMS experiment
• Extracting jet transport coefficient from jet quenching at RHIC and LHC
• Performance of $b$-Jet Identification in the ATLAS Experiment
• Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning
• Jet quenching in high-energy heavy-ion collisions
• Review of Jet Measurements in Heavy Ion Collisions
• NNLO QCD predictions for single jet inclusive production at the LHC
• Jet Flavor Classification in High-Energy Physics with Deep Neural Networks
• Parton showers beyond leading logarithmic accuracy
• Jet Structure in Heavy Ion Collisions
• Logarithmic accuracy of parton showers: a fixed-order study
• JUNIPR: a Framework for Unsupervised Machine Learning in Particle Physics
• Evidence of b-jet quenching in PbPb collisions at sqrt(s[NN]) = 2.76 TeV
• Machine Learning Uncertainties with Adversarial Neural Networks
• Inclusive production of small radius jets in heavy-ion collisions
• Measurement of inclusive charged-particle jet production in Au+Au collisions at $\sqrt{s_{NN}}$=200 GeV
• Per-Object Systematics using Deep-Learned Calibration
• Measurement of Groomed Jet Substructure Observables in \pp Collisions at $\sqrt{s}=200$ GeV with STAR
• Searching for the dead cone effects with iterative declustering of heavy-flavor jets
• Jet angularity measurements for single inclusive jet production
• A deep neural network for simultaneous estimation of b jet energy and resolution
• Resurrecting the Dead Cone
• Disentangling Heavy Flavor at Colliders
• Light and heavy flavor dijet production and dijet mass modification in heavy ion collisions
• Comparing transverse momentum balance of b jet pairs in pp and PbPb collisions at $\sqrt{s_{\mathrm{NN}}}=$ 5.02 TeV
• Study of b-quark mass effects in multijet topologies with the DELPHI detector at LEP
• First Direct Observation of the Dead-Cone Effect

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