2012
DOI: 10.1063/1.3700685
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The soft function for exclusive N-jet production at hadron colliders

Abstract: Abstract. The N-jettiness event shape divides phase space into N + 2 regions, each containing one jet or beam. These jet regions are insensitive to the distribution of soft radiation and, with a geometric measure for N-jettiness, have circular boundaries. We give a factorization theorem for the cross section which is fully differential in the mass of each jet, and compute the corresponding soft function at next-to-leading order (NLO). For N-jettiness, all ingredients are now available to extend NLO cross secti… Show more

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Cited by 43 publications
(113 citation statements)
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“…Therefore, it is important to choose a resolution variable with simple resummation properties. An example is N -jettiness, for which the complete NNLL resummation for arbitrary N is known [46,47]. For the purpose of our discussion below, we will assume that a resummed result for the spectrum and its cumulant in eq.…”
Section: What Monte Carlo Can Do For Resummationmentioning
confidence: 99%
See 1 more Smart Citation
“…Therefore, it is important to choose a resolution variable with simple resummation properties. An example is N -jettiness, for which the complete NNLL resummation for arbitrary N is known [46,47]. For the purpose of our discussion below, we will assume that a resummed result for the spectrum and its cumulant in eq.…”
Section: What Monte Carlo Can Do For Resummationmentioning
confidence: 99%
“…This flavor sum is an important consideration when implementing the master formula in Geneva, since the Monte Carlo generates events for each flavor combination, and the flavor sum is performed in the sum over events. For processes with final-state jets, the extension of the beam thrust factorization theorem to N -jettiness is known and has the schematic form [46,47] …”
Section: Jhep09(2013)120mentioning
confidence: 99%
“…• 1-jettiness minimization [6][7][8][9]. This approach is based on finding a light-like jet axis n = (1,n) that minimizes 1-jettiness T 1 (n).…”
Section: Review Of Jet Algorithmsmentioning
confidence: 99%
“…In this paper, we expose a surprising connection between three seemingly unrelated approaches to jet finding: jet function maximization [3][4][5], 1-jettiness minimization [6][7][8][9], and stable cone finding [10][11][12], all reviewed in Sec. II.…”
Section: Introductionmentioning
confidence: 99%
“…For example, the most accurate calculations of the Higgs-boson cross section includes contributions from logarithmically enhanced terms derived using a factorization formula [7,8]. Other examples are the inclusive photon [9][10][11][12] or W -boson [13,14] transverse momentum spectrum, the tt cross section [15,16], and jet shapes such as jet mass [17][18][19] or n-subjettiness [20,21].…”
Section: Introductionmentioning
confidence: 99%