Prospects for strong coupling measurement at hadron colliders using soft-drop jet mass

被引:0
|
作者
Holmfridur S. Hannesdottir
Aditya Pathak
Matthew D. Schwartz
Iain W. Stewart
机构
[1] Institute for Advanced Study,Department of Physics
[2] Harvard University,Center for Theoretical Physics
[3] Deutsches Elektronen-Synchrotron DESY,undefined
[4] University of Manchester,undefined
[5] School of Physics and Astronomy,undefined
[6] University of Vienna,undefined
[7] Faculty of Physics,undefined
[8] Massachusetts Institute of Technology,undefined
关键词
Factorization; Renormalization Group; Jets and Jet Substructure; Resummation; The Strong Coupling;
D O I
暂无
中图分类号
学科分类号
摘要
We compute the soft-drop jet-mass distribution from pp collisions to NNLL accuracy while including nonperturbative corrections through a field-theory based formalism. Using these calculations, we assess the theoretical uncertainties on an αs precision measurement due to higher order perturbative effects, nonperturbative corrections, and PDF uncertainty. We identify which soft-drop parameters are well-suited for measuring αs, and find that higher-logarithmic resummation has a qualitatively important effect on the shape of the jet-mass distribution. We find that quark jets and gluon jets have similar sensitivity to αs, and emphasize that experimentally distinguishing quark and gluon jets is not required for an αs measurement. We conclude that measuring αs to the 10% level is feasible now, and with improvements in theory a 5% level measurement is possible. Getting down to the 1% level to be competitive with other state-of-the-art measurements will be challenging.
引用
收藏
相关论文
共 50 条
  • [21] Jet mass distribution in Higgs/vector boson plus jet events at hadron colliders with kt clustering
    Ziani, Naima
    Khelifa-Kerfa, Kamel
    Delenda, Yazid
    EUROPEAN PHYSICAL JOURNAL C, 2021, 81 (07):
  • [22] Field-theoretic analysis of hadronization using soft drop jet mass
    Ferdinand, Anna
    Lee, Kyle
    Pathak, Aditya
    PHYSICAL REVIEW D, 2023, 108 (11)
  • [23] Disambiguating seesaw models using invariant mass variables at hadron colliders
    P. S. Bhupal Dev
    Doojin Kim
    Rabindra N. Mohapatra
    Journal of High Energy Physics, 2016
  • [24] Disambiguating seesaw models using invariant mass variables at hadron colliders
    Dev, P. S. Bhupal
    Kim, Doojin
    Mohapatra, Rabindra N.
    JOURNAL OF HIGH ENERGY PHYSICS, 2016, (01): : 1 - 37
  • [25] Probing the Higgs self-coupling at hadron colliders using rare decays
    Baur, U
    Plehn, T
    Rainwater, D
    PHYSICAL REVIEW D, 2004, 69 (05):
  • [26] Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning
    Jie Feng
    Mingqiu Li
    Qi-Shu Yan
    Yu-Pan Zeng
    Hong-Hao Zhang
    Yongchao Zhang
    Zhijie Zhao
    Journal of High Energy Physics, 2022
  • [27] Improving heavy Dirac neutrino prospects at future hadron colliders using machine learning
    Feng, Jie
    Li, Mingqiu
    Yan, Qi-Shu
    Zeng, Yu-Pan
    Zhang, Hong-Hao
    Zhang, Yongchao
    Zhao, Zhijie
    JOURNAL OF HIGH ENERGY PHYSICS, 2022, 2022 (09)
  • [28] Jet activity in t(t)over-bar events and top mass reconstruction at hadron colliders
    Corcella, G
    Mangano, ML
    Seymour, MH
    JOURNAL OF HIGH ENERGY PHYSICS, 2000, (07):
  • [30] Measurement of strong coupling αs in e+e- annihilation using jet rate and event shape
    Zomorrodian, M. E.
    Hasheminia, M.
    Mirjalili, A.
    INDIAN JOURNAL OF PHYSICS, 2016, 90 (04) : 469 - 476