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  • Open Access

Tagging a boosted top quark with a τ final state

Amit Chakraborty, Amandip De, Rohini M. Godbole, and Monoranjan Guchait
Phys. Rev. D 108, 035011 – Published 8 August 2023

Abstract

Boosted top quark tagging is one of the challenging, and at the same time exciting, tasks in high energy physics experiments, in particular in the exploration of new physics signals at the LHC. Several techniques have already been developed to tag a boosted top quark in its hadronic decay channel. Recently tagging the same in the semileptonic channel has begun to receive a lot of attention. In the current study, we develop a methodology to tag a boosted top quark (pT>200GeV) in its semileptonic decay channel with a τ-lepton in the final state. In this analysis, the constituents of the top fatjet are reclustered using jet substructure technique to obtain the subjets, and then b- and τ- like subjets are identified by applying standard b- and τ-jet identification algorithms. We show that the dominant QCD background can be rejected effectively using several kinematic variables of these subjects, such as energy sharing among the jets, invariant mass, transverse mass, N-subjettiness etc., leading to high signal tagging efficiencies. We further assess possible improvements in the results by employing multivariate analysis techniques. We find that using this proposed top-tagger, a signal efficiency of 77% against a background efficiency of 3% can be achieved. We also extend the proposed top-tagger to the case of polarized top quarks by introducing a few additional observables calculated in the rest frame of the bτ system. We comment on how the same methodology will be useful for tagging a boosted heavy BSM particle with a b and τ in the final state.

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  • Received 4 June 2023
  • Accepted 24 July 2023

DOI:https://doi.org/10.1103/PhysRevD.108.035011

Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. Funded by SCOAP3.

Published by the American Physical Society

Physics Subject Headings (PhySH)

Particles & Fields

Authors & Affiliations

Amit Chakraborty1,*, Amandip De2,†, Rohini M. Godbole2,‡, and Monoranjan Guchait3,§

  • 1Department of Physics, School of Engineering and Sciences, SRM University AP, Amaravati 522240, India
  • 2Centre for High Energy Physics, Indian Institute of Science, Bangalore 560012, India
  • 3Tata Institute of Fundamental Research, Homi Bhabha Road, Colaba, Mumbai 400005, India

  • *amit.c@srmap.edu.in
  • amandipde@iisc.ac.in
  • rohini@iisc.ac.in
  • §guchait@tifr.res.in

Article Text

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Issue

Vol. 108, Iss. 3 — 1 August 2023

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Images

  • Figure 1
    Figure 1

    Feynman diagram at leading order for the signal process ppW+tb¯τ+ντbb¯.

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  • Figure 2
    Figure 2

    Basic principle of τ-jet identification with charged track isolation.

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  • Figure 3
    Figure 3

    Distribution of the number of charged tracks inside the τ-subjet (left) and mass of the τ-subjet (right) for signal (W) and background events. The solid blue line shows the distribution for the signal while the same for QCD and tht¯h are shown in red dotted and black dash dotted lines, respectively.

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  • Figure 4
    Figure 4

    Distribution of invariant mass of bτ jet system for signal and background events. The parton level (blue dotted line) curve for W is constructed out of momenta of the b-quark and visible decay products of τ. The color code for all the other curves is the same as in Fig. 3.

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  • Figure 5
    Figure 5

    Distribution of the transverse mass constructed out of b-subjet (bj), τ-subjet (τh), and MET for the signal and background events. The color code is the same as in Fig. 4.

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  • Figure 6
    Figure 6

    Distribution of energy fraction of τh (left) and bj (right) in top jet for signal and background events. The color code is same as Fig. 4.

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  • Figure 7
    Figure 7

    Distribution of variable ΔXbjτh [Eq. (3.3)] for signal and background events. Color code is the same as in Fig. 3.

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  • Figure 8
    Figure 8

    Distribution of τ2/τ1 (left) and τ3/τ2 (right) for leptonic top and background jets. Discriminators like τ2/τ1 measure the relative alignment of the jet energy along the individual subjet directions. Color code is the same as Fig. 3.

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  • Figure 9
    Figure 9

    The efficiencies for identification of the top jet (εt) in the pT range of 200–450 GeV.

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  • Figure 10
    Figure 10

    The signal and background efficiencies for mW=1TeV against QCD (red dotted) and tt¯ (blue solid). The two points in red and blue color represent the corresponding efficiencies for QCD and tht¯h from a cut based analysis with the choice of cuts mentioned in Eq. (3.5).

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  • Figure 11
    Figure 11

    Distribution of energy fraction [Eq. (3.2)] of τh- (left panel) and b- (right panel) like subjets for left-, right-, and unpolarized top. Blue solid (dotted) lines denote the distribution for left-handed reconstructed (parton level) top and magenta solid (dotted) is for right-handed reconstructed (parton level) top. Similarly, the green solid (dotted) distributions are for reconstructed (parton level) unpolarized top.

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  • Figure 12
    Figure 12

    The angular distribution of τh (left) and bj (right) in the rest frame of (bj+τh) system for tL, tR, and tLR following Eq. (5.2). The color code is similar to Fig. 11.

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  • Figure 13
    Figure 13

    The ROC curve estimates the performance of the BDT classifier of distinguishing the (a) right vs left (b) left vs unpolarized (c) right vs unpolarized top jets.

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