Safe use of jet pull

Larkoski, Andrew J.; Marzani, Simone; Wu, Chang

doi:10.1007/jhep01(2020)104

Cited by 9 publications

(8 citation statements)

References 62 publications

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“…For the special case of soft-drop parameter β = 0, the corresponding cross section is not infrared safe but Sudakov safe [7], and so resummation is essential to obtain a prediction. Other examples of Sudakov-safe observables include the soft-drop momentum sharing fraction z g [73], ratios of two angularities [74,75], and the jet-pull angle [76][77][78]. In this work, we extend previous results of the jet energy drop for soft drop with β = 0 beyond (modified) leading logarithmic accuracy.…”

Section: Jhep11(2020)012supporting

confidence: 55%

Jet energy drop

Cal

Lee

Ringer

et al. 2020

J. High Energ. Phys.

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We study the jet energy drop, which is the relative difference between the groomed and ungroomed jet energy or transverse momentum. It is one of the fundamental quantities that characterizes the impact of grooming on jets produced in high energy collisions. We consider three different grooming algorithms i) soft drop, ii) iterated soft drop, and iii) trimming. We carry out the resummation of large logarithms of the jet energy drop, the jet radius as well as relevant grooming parameters at next-to-leading logarithmic (NLL′) accuracy. In addition, we account for non-global and clustering logarithms, and determine the next-to-leading order corrections. For soft drop we perform a joint resummation of the jet energy drop and the groomed jet radius, which is necessary to achieve the correct all-order structure of the cross section, in particular for the Sudakov-safe case of soft drop with β = 0. We present numerical results for LHC energies and compare to Pythia simulations as well as CMS data. Our factorization framework predicts the onset of nonperturbative effects in the jet energy distribution, in line with what we find in Pythia. The jet energy drop observables stand out because they only probe soft radiation, making them ideal candidates for the tuning of parton shower Monte Carlo event generators and for probing medium effects in heavy-ion collisions.

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Section: Jhep11(2020)012supporting

confidence: 55%

Jet energy drop

Cal

Lee

Ringer

et al. 2020

J. High Energ. Phys.

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“…We make use of high-level colour sensitive variables introduced in the literature in the past few years: jet pull and its projections, namely the pull angle, θ p [34,35], and the parallel and perpendicular components of the pull vector, t and t ⊥ [36,37]; the colour ring O [38]; D 2 [39,40] and the Lund jet plane [29]. We limit ourselves to a brief introduction of the relevant variables, and we refer the interested reader to the original papers.…”

Section: Description Of the Observablesmentioning

confidence: 99%

Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane

Cavallini,

Coccaro,

Khosa

et al. 2021

Preprint

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We study the problem of distinguishing bjets stemming from the decay of a colour singlet, such as the Higgs boson, from those originating from the abundant QCD background. In particular, as a case study, we focus on associate production of a vector boson and a Higgs boson decaying into a pair of b-jets, which has been recently observed at the LHC. We consider the combination of several theory-driven observables proposed in the literature, together with Lund jet plane images, in order to design an original Hbb tagger. The observables are combined by means of standard machine learning algorithms, which are trained on events obtained with fast detector simulation techniques. We find that the combination of high-level single-variable observables with the Lund jet plane provides an excellent discrimination performance. We also study the dependence of the tagger on the invariant mass of the decaying particles, in order to assess the extension to a generic Xbb tagger.

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“…The dipolarity is also closely related to projections of the pull vector introduced in Ref. [12]. As dipolarity is an IRC safe observable, it is necessarily not monotonically related to the jet color ring, and therefore is a worse color discriminant under the assumptions we have made.…”

Section: Relationship To Dipolaritymentioning

confidence: 69%

“…In particular, several observables have been designed to be sensitive to the representation under the SU(3) color of quantum chromodynamics (QCD) of pairs of jets that are detected close in angle to one another in experiment [1][2][3][4][5]. Of these color-sensitive observables, the most widely-studied is jet pull [1], which has been measured at the Tevatron by the D collaboration and at the Large Hadron Collider (LHC) by ATLAS [6][7][8], employed in searches by CMS [9,10], and calculated for various jet configurations [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An optimal observable for color singlet identification

et al. 2020

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We present a novel approach to construct a color singlet tagger, i.e.~an observable that is able to discriminate the decay of a color-singlet into two jets from a two-jet background in a different color configuration. We do this by explicitly taking the ratio of the corresponding leading-order matrix elements in the soft limit, thus obtaining an observable that is provably optimal within our approximation. We call this observable the ``jet color ring" and we compare its performance to other color-sensitive observables such as jet pull and dipolarity. We also assess the performance of the jet color ring in simulations by applying it to the case of the hadronic decays of a boosted Higgs boson and of an electroweak boson.

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Safe use of jet pull

Cited by 9 publications

References 62 publications

Jet energy drop

Jet energy drop

Tagging the Higgs boson decay to bottom quarks with colour-sensitive observables and the Lund jet plane

An optimal observable for color singlet identification

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