2013
DOI: 10.1007/jhep09(2013)029
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Towards an understanding of jet substructure

Abstract: We present first analytic, resummed calculations of the rates at which widespread jet substructure tools tag QCD jets. As well as considering trimming, pruning and the mass-drop tagger, we introduce modified tools with improved analytical and phenomenological behaviours. Most taggers have double logarithmic resummed structures. The modified mass-drop tagger is special in that it involves only single logarithms, and is free from a complex class of terms known as non-global logarithms. The modification of prunin… Show more

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Cited by 471 publications
(656 citation statements)
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References 132 publications
(254 reference statements)
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“…Additionally, it is challenging to disentangle perturbative physics from the tuning of non-perturbative physics so as to understand how to systematically improve the accuracy of the Monte Carlo. Recently, there has been an increasing number of analytical studies of jet substructure observables, including the calculation of the signal distribution for N -subjettiness to next-to-next-tonext-to-leading-log order [41], a fixed-order prediction for planar flow [42], calculations of groomed jet masses [43][44][45][46] and the jet profile/ shape [47][48][49][50][51][52][53] for both signal and background jets, an analytic understanding of jet charge [54,55], predictions for fractional jet multiplicity [56], and calculations of the associated subjet rate [57]. Especially in the case of the groomed jet observables, analytic predictions informed the construction of more performant and easier to calculate observables.…”
Section: Contentsmentioning
confidence: 99%
See 1 more Smart Citation
“…Additionally, it is challenging to disentangle perturbative physics from the tuning of non-perturbative physics so as to understand how to systematically improve the accuracy of the Monte Carlo. Recently, there has been an increasing number of analytical studies of jet substructure observables, including the calculation of the signal distribution for N -subjettiness to next-to-next-tonext-to-leading-log order [41], a fixed-order prediction for planar flow [42], calculations of groomed jet masses [43][44][45][46] and the jet profile/ shape [47][48][49][50][51][52][53] for both signal and background jets, an analytic understanding of jet charge [54,55], predictions for fractional jet multiplicity [56], and calculations of the associated subjet rate [57]. Especially in the case of the groomed jet observables, analytic predictions informed the construction of more performant and easier to calculate observables.…”
Section: Contentsmentioning
confidence: 99%
“…[62] to perform a NNLL calculation of the jet mass. Although the effects of non-global logarithms would need to be understood, and could play an important role, recent progress in this area suggests that this issue could be addressed, either by direct resummation of the NGLs [76,[167][168][169][170], or through the use of jet grooming algorithms which remove NGLs [43,44,71]. While it is truly uncorrelated with the jet, the effect of radiation from pile-up on D 2 could also be mitigated using similar jet grooming algorithms.…”
Section: Jhep05(2016)117mentioning
confidence: 99%
“…For example such calculations have been performed for the (modified) MassDropTagger (m)MDT [8] , pruning [9,10] and trimming [11] in refs. [8,12].…”
Section: Jhep12(2016)079mentioning
confidence: 99%
“…A new jet substructure observable, called the groomed momentum sharing, was recently proposed and studied using the soft drop jet grooming procedure [26,27]. It is sensitive to the hard branching in the jet formation and is controlled by the leading-order Altarelli-Parisi splitting functions.…”
Section: Momentum Sharing Distributionsmentioning
confidence: 99%