Dynamical grooming of QCD jets

Mehtar-Tani, Yacine; Soto-Ontoso, Alba; Tywoniuk, Konrad

doi:10.1103/physrevd.101.034004

Cited by 54 publications

(66 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is then clear that the usefulness of a given grooming method should not be judged only on the basis of its resilience to non-perturbative physics, but also on its analytic structure from a pQCD point of view. This paper aims at deepening our analytic understanding of jet substructure observables as defined by a novel grooming technique that has been recently introduced and dubbed 'Dynamical Grooming' (DyG) [25][26][27].…”

Section: Jhep07(2021)020mentioning

confidence: 99%

Dynamical Grooming meets LHC data

Caucal

Soto-Ontoso

Takács

2021

J. High Energ. Phys.

Self Cite

View full text Add to dashboard Cite

In this work, we analyse the all-orders resummation structure of the momentum sharing fraction, zg, opening angle, θg, and relative transverse momentum, kt,g, of the splitting tagged by the Dynamical Grooming procedure in hadronic collisions. We demonstrate that their resummation does non-exponentiate and it is free of clustering logarithms. Then, we analytically compute the probability distributions of (zg, θg, kt,g) up to next-to-next-to-double logarithm accuracy (N2DL) in the narrow jet limit, including a matching to leading order in αs. On the phenomenological side, we perform an analytic-to-parton level comparison with Pythia and Herwig. We find that differences between the analytic and the Monte-Carlo results are dominated by the infra-red regulator of the parton shower. Further, we present the first analytic comparison to preliminary ALICE data and highlight the role of non-perturbative corrections in such low-pt regime. Once the analytic result is corrected by a phenomenologically determined non-perturbative factor, we find very good agreement with the data.

show abstract

Section: Jhep07(2021)020mentioning

confidence: 99%

Dynamical Grooming meets LHC data

Caucal

Soto-Ontoso

Takács

2021

J. High Energ. Phys.

Self Cite

View full text Add to dashboard Cite

show abstract

“…Jet grooming techniques are used to reduce non-perturbative effects by selectively removing soft large-angle radiation, which allows for well-controlled comparisons of measurements to pQCD calculations [10][11][12][13][14][15][16]. The Dynamical grooming algorithm [12,17] identifies a single "splitting" by re-clustering the constituents of a jet with the Cambridge-Aachen algorithm [18], and traversing…”

Section: Dynamical Groomingmentioning

confidence: 99%

“…Measurements of g (left) in pp collisions with Dynamical Grooming[12] for three values of the grooming parameter . Measurements of jet angularities (right) =1 in pp collisions with = 0.4 for four values of the continuous parameter .…”

mentioning

confidence: 99%

Overview of the latest jet physics results from ALICE

Mulligan¹

2021

Proceedings of 40th International Conference on High Energy Physics — PoS(ICHEP2020)

View full text Add to dashboard Cite

We overview recent jet measurements in pp and Pb-Pb collisions with the ALICE detector. AL-ICE reconstructs jets at midrapidity using the anti-T algorithm, including both charged particle jets from the ALICE tracking detectors, and full jets from the combination of the ALICE electromagnetic calorimeter with the tracking system. We focus on inclusive and semi-inclusive jet measurements as well as jet substructure measurements, including a variety of groomed and ungroomed observables. In pp collisions, these results test pQCD formalisms at T, jet < 140 GeV/ in a low pileup environment, and can constrain models of non-perturbative effects. In Pb-Pb collisions, these measurements test models of jet quenching in the quark-gluon plasma, and can be used to constrain the properties of high temperature QCD matter.

show abstract

“…To study the performance of different grooming criteria, we use the Soft Drop algorithm [1] and the Dynamical Grooming algorithm [22,23] but also new rather simple groomers which we call max-z, max-p soft T , max-κ, max-k T , and mint f . These are all defined by reclustering the jet with the Cambridge-Aachen (CA) algorithm, where every step of the clustering history is defined by a radiator and the two prongs that it decays to.…”

Section: A Groomersmentioning

confidence: 99%

Identifying groomed jet splittings in heavy-ion collisions

Mulligan

Płoskoń

2020

Phys. Rev. C

View full text Add to dashboard Cite

Measurements of jet substructure in heavy-ion collisions may provide key insight into the nature of jet quenching in the quark-gluon plasma. Jet grooming techniques from high-energy physics have been applied to heavy-ion collisions in order to isolate theoretically controlled jet observables and explore possible modification to the hard substructure of jets. However, the grooming algorithms used have not been tailored to the unique considerations of heavy-ion collisions, in particular to the experimental challenge of reconstructing jets in the presence of a large underlying event. We report a set of simple studies illustrating the impact of the underlying event on identifying groomed jet splittings in heavy-ion collisions, and on associated groomed jet observables. We illustrate the importance of the selection of the grooming algorithm, as certain groomers are more robust against these effects, while others, including those commonly used in heavy-ion collisions, are susceptible to large background effects, which, when uncontrolled, can mimic a jet-quenching signal. These experimental considerations, along with appropriate theoretical motivation, provide input to the choice of grooming algorithms employed in heavy-ion collisions.

show abstract

Dynamical grooming of QCD jets

Cited by 54 publications

References 32 publications

Dynamical Grooming meets LHC data

Dynamical Grooming meets LHC data

Overview of the latest jet physics results from ALICE

Identifying groomed jet splittings in heavy-ion collisions

Contact Info

Product

Resources

About