Jet substructure at the Large Hadron Collider

Kogler, R.; Nachman, B. P.; Schmidt, A.; Asquith, L.; Winkels, E.; Campanelli, M.; Delitzsch, C. M.; Harris, P.; Hinzmann, A.; Kar, D.; Mclean, C.; Pilot, J.; Takahashi, Y.; Tran, N. V.; Vernieri, C.; Vos, M.

doi:10.1103/revmodphys.91.045003

Cited by 205 publications

(150 citation statements)

References 287 publications

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“…In particular, we show that standard observables involve knowledge of an infinite number of energy correlators, and we will argue that weighted cross sections have a number of advantages, particularly when interfacing with nonperturbative data. A number of the properties of weighted cross sections and observables that are discussed in this section are known to experts in the field 1 ; however, we have chosen to discuss these issues in some detail, since they are central to understanding the simplicity of the energy correlators.…”

Section: Observables Vs Weighted Cross Sectionsmentioning

confidence: 99%

“…The Large Hadron Collider (LHC) provides a rich sample of high-energy jets, opening up new opportunities to study the dynamics of QCD and providing new avenues to search for physics beyond the Standard Model [1,2]. To perform first-principles QCD calculations in the complicated environment of LHC collisions has required significant theory progress, including the development of techniques to calculate groomed observables [3][4][5], and field theoretic formalisms for computing observables that incorporate the tracking [6][7][8] or charge information [9,10] often used to mitigate pileup and improve angular resolution.…”

Section: Introductionmentioning

confidence: 99%

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Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

et al. 2020

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We introduce an infinite set of jet substructure observables, derived as projections of N-point energy correlators, that both are convenient for experimental studies and maintain remarkable analytic properties derived from their representations in terms of a finite number of light ray operators. We show that these observables can be computed using tracking or charge information with a simple reweighting by integer moments of nonperturbative track or fragmentation functions. Our results for the projected N-point correlators are analytic functions of N, allowing us to derive resummed results to next-to-leading logarithmic accuracy for all N. We analytically continue our results to noninteger values of N and define a corresponding analytic continuation of the observable, which we term a ν correlator, that can be measured on jets of hadrons at the LHC. This enables observables that probe the leading twist collinear dynamics of jets to be placed into a single analytic family, which we hope will lead to new insights into jet substructure.

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Section: Observables Vs Weighted Cross Sectionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

et al. 2020

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“…The resulting distribution in m jet at the particle level has a width half as large as for Cambridge-Aachen (CA) jets [66,67] with R jet ¼ 1.2, as used in a previous measurement [32]. The improvement is due to the two-step XCone jet clustering procedure, which acts as a grooming algorithm [68][69][70], similar to trimming [71], on the large jet. The advantage of XCone over other grooming algorithms in this measurement is its dynamical interpolation between the resolved and boosted regime, i.e., between three well-separated subjets and three subjets close together, which would not be resolved by other reconstruction methods.…”

mentioning

confidence: 90%

Measurement of the Jet Mass Distribution and Top Quark Mass in Hadronic Decays of Boosted Top Quarks in pp Collisions at s=13 TeV
Sirunyan¹,
Tumasyan²,
Adam³
et al. 2020
Phys. Rev. Lett.
21
0
8
0
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A measurement is reported of the jet mass distribution in hadronic decays of boosted top quarks produced in pp collisions at ffiffi ffi s p ¼ 13 TeV. The data were collected with the CMS detector at the LHC and correspond to an integrated luminosity of 35.9 fb −1. The measurement is performed in the lepton þ jets channel of tt events, where the lepton is an electron or muon. The products of the hadronic top quark decay t → bW → bqq 0 are reconstructed as a single jet with transverse momentum larger than 400 GeV. The tt cross section as a function of the jet mass is unfolded at the particle level and used to extract a value of the top quark mass of 172.6 AE 2.5 GeV. A novel jet reconstruction technique is used for the first time at the LHC, which improves the precision by a factor of 3 relative to an earlier measurement. This highlights the potential of measurements using boosted top quarks, where the new technique will enable future precision measurements.

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“…A number of different observables have been proposed to tag jets with multi-prong hadronic substructure at the LHC, including 2-pronged decays of boosted W bosons and 3pronged decays of boosted top quarks, along with other more exotic scenarios [62,63]. These jet substructure observables have since found significant experimental application at the LHC for multi-prong tagging and new physics searches [64]. While most current LHC analyses focus on β = 1 observables, comparable (or better) performance can be obtaining using β = 2 for standard tagging applications [7,8].…”

Section: Speeding Up Multi-prong Taggersmentioning

confidence: 99%

Cutting multiparticle correlators down to size

2020

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Multiparticle correlators are mathematical objects frequently encountered in quantum field theory and collider physics. By translating multiparticle correlators into the language of graph theory, we can gain new insights into their structure as well as identify efficient ways to manipulate them. In this paper, we highlight the power of this graph-theoretic approach by "cutting open" the vertices and edges of the graphs, allowing us to systematically classify linear relations among multiparticle correlators and develop faster methods for their computation. The naive computational complexity of an N -point correlator among M particles is O(M N ), but when the pairwise distances between particles can be cast as an inner product, we show that all such correlators can be computed in linear O(M ) runtime. With the help of new tensorial objects called Energy Flow Moments, we achieve a fast implementation of jet substructure observables like C2 and D2, which are widely used at the Large Hadron Collider to identify boosted hadronic resonances. As another application, we compute the number of leafless multigraphs with d edges up to d = 16 (15,641,159), conjecturing that this is the same as the number of independent kinematic polynomials of degree d, previously known only to d = 8 (279).

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Jet substructure at the Large Hadron Collider

Cited by 205 publications

References 287 publications

Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

Measurement of the Jet Mass Distribution and Top Quark Mass in Hadronic Decays of Boosted Top Quarks in pp Collisions at s=13 TeV
Sirunyan¹,
Tumasyan²,
Adam³
et al. 2020
Phys. Rev. Lett.
21
0
8
0
View full text Add to dashboard Cite

Cutting multiparticle correlators down to size

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Jet substructure at the Large Hadron Collider

Cited by 205 publications

References 287 publications

Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

Rethinking jets with energy correlators: Tracks, resummation, and analytic continuation

Measurement of the Jet Mass Distribution and Top Quark Mass in Hadronic Decays of Boosted Top Quarks in pp Collisions at s=13 TeVSirunyan1, Tumasyan2, Adam3 et al. 2020Phys. Rev. Lett.21080View full textAdd to dashboardCite

Cutting multiparticle correlators down to size

Contact Info

Product

Resources

About

Measurement of the Jet Mass Distribution and Top Quark Mass in Hadronic Decays of Boosted Top Quarks in pp Collisions at s=13 TeV
Sirunyan¹,
Tumasyan²,
Adam³
et al. 2020
Phys. Rev. Lett.
21
0
8
0
View full text Add to dashboard Cite