Next-to-leading power resummed rapidity distributions near threshold for Drell-Yan and diphoton production
Robin van Bijleveld, Eric Laenen, Leonardo Vernazza, Guoxing Wang

TL;DR
This paper advances the understanding of rapidity distributions near the threshold in Drell-Yan and diphoton production by calculating up to next-to-leading power and deriving resummed cross sections at LL accuracy, enhancing precision in QCD predictions.
Contribution
It introduces a factorised structure for NLP leading logarithms and generalises resummation techniques to double differential distributions for these processes.
Findings
NLP corrections computed up to NNLO for Drell-Yan.
Factorised structure for NLP LL at leading power.
Resummed double differential cross sections derived.
Abstract
We consider Drell-Yan production and QCD-induced diphoton production and compute their rapidity distributions up to next-to-leading power (NLP) in the threshold variable. We give results for rapidity distributions of the Drell-Yan process up to NNLO accuracy and show that a factorised structure occurs for the leading logarithms (LL) at NLP, generalising the result at leading power. For diphoton production, we generalise methods based on kinematical shifts to find the NLO cross section up to NLP for rapidity distributions. From the results for these two processes, we derive resummed cross sections at NLP LL accuracy that are double differential in the threshold variable and the rapidity variable, which generalise results for single differential resummed cross sections.
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Taxonomy
TopicsScientific Computing and Data Management
