Threshold Resummation of Drell-Yan type colorless processes at LHC
Goutam Das, Chinmoy Dey, M C Kumar, Kajal Samanta

TL;DR
This paper enhances the precision of theoretical predictions for Drell-Yan and Higgs production at the LHC by applying third-order threshold resummation techniques, significantly reducing scale uncertainties.
Contribution
It introduces a method to incorporate N$^3$LL threshold logarithms with N$^3$LO results for improved accuracy in LHC process predictions.
Findings
Scale uncertainties reduced from 0.4% to less than 0.1% at high invariant mass.
Achieved higher-order resummation up to N$^3$LL matched with N$^3$LO calculations.
Provided numerical results for invariant mass distributions and total cross sections.
Abstract
We look at the threshold effects in neutral and charged Drell-Yan production, Higgs boson production with a massive vector boson, and Higgs production in bottom quark annihilation at the Large Hadron Collider (LHC), up to the third order in QCD. Using third-order soft-virtual (SV) results and the universal properties of threshold logarithms, we find the process-dependent coefficients and improve the accuracy by including large threshold logarithms up to next-to-next-to-next-to-leading logarithmic (NLL) order and matched with the latest NLO results. We also show numerical results for the invariant mass distributions and total production cross sections for these processes. Our findings show that the theoretical scale uncertainties, which are about at NLO in fixed-order calculations, decrease to less than at NLO+NLL after SV threshold resummation in the…
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Taxonomy
TopicsParticle physics theoretical and experimental studies · High-Energy Particle Collisions Research · Computational Physics and Python Applications
