Next-to SV resummed Drell-Yan cross section beyond leading-logarithm
A. H. Ajjath, Pooja Mukherjee, V. Ravindran, Aparna Sankar, Surabhi, Tiwari

TL;DR
This paper provides advanced resummed predictions for the Drell-Yan cross section at next-to-next-to leading logarithmic accuracy, incorporating both soft virtual and next-to-soft threshold logarithms, improving precision for LHC energies.
Contribution
It introduces a detailed resummation framework including NSV terms for Drell-Yan production, extending previous leading-logarithm approaches and analyzing their numerical impact.
Findings
Resummation increases cross section predictions by about 8% at 13 TeV.
Including NSV terms reduces renormalisation scale sensitivity.
NSV contributions highlight the importance of quark-gluon channels at higher orders.
Abstract
We present the resummed predictions for inclusive cross section for Drell-Yan (DY) production up to next-to-next-to leading logarithmic () accuracy taking into account both soft virtual (SV) and next-to SV (NSV) threshold logarithms. We restrict ourselves to resummed contributions only from quark anti-quark () initiated channels. The resummation is performed in Mellin- space. We derive the -dependent coefficients and the -independent constants to desired accuracy for our study. The resummed results are matched through the minimal prescription procedure with the fixed order results. We find that the resummation, taking into account the NSV terms, appreciably increases the cross section while decreasing the sensitivity to renormalisation scale. \textcolor{black}{We observe that, at 13 TeV LHC energies, the SV+NSV resummation at $\rm \overline{ NLL}…
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