Rapidity distribution of pseudoscalar Higgs boson to NNLOA+NNLL¯

Author:

Ravindran V.1,Sankar Aparna123ORCID,Tiwari Surabhi14

Affiliation:

1. The Institute of Mathematical Sciences

2. Technische Universität München

3. Max-Planck-Institut für Physik

4. Karlsruhe Institute of Technology (KIT)

Abstract

We present the differential predictions for the rapidity distribution of pseudoscalar 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 (NNLL¯) accuracy and matching them to the approximate fixed order next-to-next-to-leading-order (NNLOA) computation. We perform the resummation in two-dimensional Mellin space by limiting ourselves to the contributions only from gluon-gluon (gg) initiated channels. The NNLOA rapidity distribution of pseudoscalar 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 N3LO rapidity distribution of pseudoscalar Higgs at SV+NSV accuracy. The phenomenological impacts of NNLOA+NNLL¯ predictions for 13 TeV LHC are studied. We observe that for mA=125(700)GeV the SV+NSV resummation at the NNLL¯ level brings about 14.76% (11.48%) corrections to the NNLOA results at the central scale value of μR=μF=mA. Further, we find that the sensitivity to the renormalization scale gets improved substantially by the inclusion of NSV resummed predictions at NNLL¯ accuracy. Published by the American Physical Society 2024

Funder

Institute of Mathematical Sciences

Deutsche Forschungsgemeinschaft

Publisher

American Physical Society (APS)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3