2023/09/26 by V. Ravindran, Ravindran, V., Aparna Sankar +3
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High-Energy Particle Collisions Research #Particle physics theoretical and experimental studies
paper · pdf · doi:10.48550/arxiv.2309.14833
openalex publication_date 2023/09/26 · openalex created_date 2023/09/29 · openalex updated_date 2026/07/28
We present the differential predictions for the rapidity distribution of pseudo-scalar Higgs boson through gluon fusion at the LHC. These results are obtained taking into account the soft-virtual (SV) as well as the next-to-soft virtual (NSV) resummation effects to next-to-next-to-leading-logarithmic (\rmNNLL) accuracy and matching them to the approximate fixed order next-to-next-to-leading-order (\rmNNLOA) computation. We perform the resummation in two dimensional Mellin space using our recent formalism \citeAjjath:2020lwb by limiting ourselves to the contributions only from gluon-gluon (gg) initiated channels. The \rmNNLOA rapidity distribution of pseudo-scalar Higgs is obtained by applying a ratio method on the NNLO rapidity distribution of the scalar Higgs boson. We also present the first analytical results of \rmN3LO rapidity distribution of pseudo-scalar Higgs at SV+NSV accuracy. The phenomenological impacts of \rmNNLOA+NNLL predictions for 13 TeV LHC are studied. We observe that, for mA =125(700) GeV, the SV+NSV resummation at \rm NNLL level brings about 14.76% (11.48%) corrections to the \rmNNLOA results at the central scale value of μR=μF=mA. Further, we find that the sensitivity to the renormalisation scale gets improved substantially by the inclusion of NSV resummed predictions at \rm NNLL accuracy.