Mass dependence of Higgs production at large transverse momentum
Abstract
The transverse momentum distribution of the Higgs at large P_{T} is complicated by its dependence on three important energy scales: P_{T}, the top quark mass m_{t}, and the Higgs mass m_{H}. A strategy for simplifying the calculation of the cross section at large P_{T} is to calculate only the leading terms in its expansion in m t ^{2} /P _{T} ^{2} and/or m H ^{2} /P _{T} ^{2} . The expansion of the cross section in inverse powers of P_{T} is complicated by logarithms of P_{T} and by mass singularities. In this paper, we consider the topquark loop contribution to the subprocess qq¯¯ → H + g at leading order in αs. We show that the leading power of 1/P _{T} ^{2} can be expressed in the form of a factorization formula that separates the large scale P_{T} from the scale of the masses. All the dependence on m_{t} and m_{H} can be factorized into a distribution amplitude for tt¯ in the Higgs, a distribution amplitude for tt¯ in a real gluon, and an endpoint contribution. The factorization formula can be used to simplify calculations of the P_{T} distribution at large P_{T} to nexttoleading order in α_{s}. Here, the resultsmore »
 Authors:

 The Ohio State Univ., Columbus, OH (United States). Dept. of Physics
 The Ohio State Univ., Columbus, OH (United States). Dept. of Physics; Chongqing Univ. of Science and Technology, Chongqing (China). Dept. of Physics
 Publication Date:
 Research Org.:
 The Ohio State Univ., Columbus, OH (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC)
 OSTI Identifier:
 1499188
 Grant/Contract Number:
 SC0011726
 Resource Type:
 Accepted Manuscript
 Journal Name:
 Journal of High Energy Physics (Online)
 Additional Journal Information:
 Journal Name: Journal of High Energy Physics (Online); Journal Volume: 2017; Journal Issue: 11; Journal ID: ISSN 10298479
 Publisher:
 Springer Berlin
 Country of Publication:
 United States
 Language:
 English
 Subject:
 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; NLO Computations
Citation Formats
Braaten, Eric, Zhang, Hong, and Zhang, Jia Wei. Mass dependence of Higgs production at large transverse momentum. United States: N. p., 2017.
Web. doi:10.1007/jhep11(2017)127.
Braaten, Eric, Zhang, Hong, & Zhang, Jia Wei. Mass dependence of Higgs production at large transverse momentum. United States. doi:https://doi.org/10.1007/jhep11(2017)127
Braaten, Eric, Zhang, Hong, and Zhang, Jia Wei. Tue .
"Mass dependence of Higgs production at large transverse momentum". United States. doi:https://doi.org/10.1007/jhep11(2017)127. https://www.osti.gov/servlets/purl/1499188.
@article{osti_1499188,
title = {Mass dependence of Higgs production at large transverse momentum},
author = {Braaten, Eric and Zhang, Hong and Zhang, Jia Wei},
abstractNote = {The transverse momentum distribution of the Higgs at large PT is complicated by its dependence on three important energy scales: PT, the top quark mass mt, and the Higgs mass mH. A strategy for simplifying the calculation of the cross section at large PT is to calculate only the leading terms in its expansion in m t 2 /P T 2 and/or m H 2 /P T 2 . The expansion of the cross section in inverse powers of PT is complicated by logarithms of PT and by mass singularities. In this paper, we consider the topquark loop contribution to the subprocess qq¯¯ → H + g at leading order in αs. We show that the leading power of 1/P T 2 can be expressed in the form of a factorization formula that separates the large scale PT from the scale of the masses. All the dependence on mt and mH can be factorized into a distribution amplitude for tt¯ in the Higgs, a distribution amplitude for tt¯ in a real gluon, and an endpoint contribution. The factorization formula can be used to simplify calculations of the PT distribution at large PT to nexttoleading order in αs. Here, the results are readily applied to the qg process via a straightforward analytical continuation.},
doi = {10.1007/jhep11(2017)127},
journal = {Journal of High Energy Physics (Online)},
number = 11,
volume = 2017,
place = {United States},
year = {2017},
month = {11}
}
Web of Science
Figures / Tables:
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