Dynamical Grooming meets LHC data

Caucal, Paul; Soto-Ontoso, Alba; Takács, Ádám

doi:10.1007/jhep07(2021)020

Cited by 15 publications

(17 citation statements)

References 57 publications

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“…At the logarithmic accuracy that we discuss here, both procedures should yield equivalent results. Selecting the highest-k t emission without a z cut would be similar to Dynamical Grooming [49] and would involve a double rather than single logarithmic resummation structure [50]. The use of two declusterings is also part of a range of top taggers, e.g.…”

Section: Primary Splittingmentioning

confidence: 99%

Spin correlations in final-state parton showers and jet observables

et al. 2021

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As part of a programme to develop parton showers with controlled logarithmic accuracy, we consider the question of collinear spin correlations within the PanScales family of parton showers. We adapt the well-known Collins–Knowles spin-correlation algorithm to PanScales antenna and dipole showers, using an approach with similarities to that taken by Richardson and Webster. To study the impact of spin correlations, we develop Lund-declustering based observables that are sensitive to spin-correlation effects both within and between jets and extend the MicroJets collinear single-logarithmic resummation code to include spin correlations. Together with a 3-point energy correlation observable proposed recently by Chen, Moult and Zhu, this provides a powerful set of constraints for validating the logarithmic accuracy of our shower results. The new observables and their resummation further open the pathway to phenomenological studies of these important quantum mechanical effects.

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Section: Primary Splittingmentioning

confidence: 99%

Spin correlations in final-state parton showers and jet observables

et al. 2021

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“…Here, we provide the main formulas and refer the reader to Refs. [44,47] for a more detailed discussion on their derivation. Our main assumption is that we work in the soft and collinear limit such that z, θ 1 and we can neglect momentum degradation along the jet primary branch.…”

Section: Theoretical Setupmentioning

confidence: 99%

“…Next, we take the κ 1 limit in order for resummation techniques to apply [47]. The probability distribution for a splitting to be the hardest in a QCD jet can be written as…”

Section: Theoretical Setupmentioning

confidence: 99%

“…In the Double Logarithmic Approximation (DLA) on which we rely throughout this paper 2 it is sufficient to 2 See Ref. [47] for a higher order computation. consider the branching kernel in the soft (z 1) and collinear (θ 1) limit,…”

Section: A Vacuum Recapmentioning

confidence: 99%

“…In particular, Ref. [47] presented a thorough examination of the analytic structure of dynamically groomed observables that lead to a quantitative description of the ALICE preliminary data [48,49]. Equipped with a solid understanding of the vacuum benchmark, we extend the theoretical calculation to in-medium jet physics.…”

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confidence: 99%

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Dynamically groomed jet radius in heavy-ion collisions

Caucal,

Soto-Ontoso,

Takacs

2021

Preprint

Self Cite

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We explore the ability of a recently proposed jet substructure technique, Dynamical Grooming, to pin down the properties of the Quark-Gluon Plasma formed in ultra-relativistic heavy-ion collisions.In particular, we compute, both analytically and via Monte-Carlo simulations, the opening angle θg of the hardest splitting in the jet as defined by Dynamical Grooming. Our calculation, grounded in perturbative QCD, accounts for the factorization in time between vacuum-like and medium-induced processes in the double logarithmic approximation. We observe that the dominating scale in the θgdistribution is the decoherence angle θc which characterises the resolution power of the medium to propagating color probes. This feature also persists in strong coupling models for jet quenching. We further propose for potential experimental measurements a suitable combination of the Dynamical Grooming condition and the jet radius that leads to a pQCD dominated observable with a very small sensitivity (≤ 10%) to medium response. I. JET SUBSTRUCTURE IN HEAVY-ION COLLISIONS

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Lund multiplicity in QCD jets

Medves

Soto-Ontoso

Soyez

2023

J. High Energ. Phys.

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We compute the average Lund multiplicity of high-energy QCD jets. This extends an earlier calculation, done for event-wide multiplicity in e+e− collisions [1], to the large energy range available at the LHC. Our calculation achieves next-to-next-to-double logarithmic (NNDL) accuracy. Our results are split into a universal collinear piece, common to the e+e− calculation, and a non-universal large-angle contribution. The latter amounts to 10–15% of the total multiplicity. We provide accurate LHC predictions by matching our resummed calculation to fixed-order NLO results and by incorporating non-perturbative corrections via Monte Carlo simulations. Including NNDL terms leads to a 50% reduction of the theoretical uncertainty, with non-perturbative corrections remaining below 5% down to transverse momentum scales of a few GeV. This proves the suitability of Lund multiplicities for robust theory-to-data comparisons at the LHC.

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Dynamical Grooming meets LHC data

Cited by 15 publications

References 57 publications

Spin correlations in final-state parton showers and jet observables

Spin correlations in final-state parton showers and jet observables

Dynamically groomed jet radius in heavy-ion collisions

Lund multiplicity in QCD jets

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