The transverse momentum distribution of hadrons within jets
Abstract
We study the transverse momentum distribution of hadrons within jets, where the transverse momentum is defined with respect to the standard jet axis. We consider the case where the jet substructure measurement is performed for an inclusive jet sample pp → jet + X. We demonstrate that this observable provides new opportunities to study transverse momentum dependent fragmentation functions (TMDFFs) which are currently poorly constrained from data, especially for gluons. The factorization of the cross section is obtained within Soft Collinear Effective Theory (SCET), and we show that the relevant TMDFFs are the same as for the more traditional processes semi-inclusive deep inelastic scattering (SIDIS) and electron-positron annihilation. Different than in SIDIS, the observable for the in-jet fragmentation does not depend on TMD parton distribution functions which allows for a cleaner and more direct probe of TMDFFs. We present numerical results and compare to available data from the LHC.
- Authors:
-
- Univ. of California, Los Angeles, CA (United States); Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
- Beijing Normal Univ., Beijing (China)
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Northwestern Univ., Evanston, IL (United States); Argonne National Lab. (ANL), Argonne, IL (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1420109
- Grant/Contract Number:
- AC02-05CH11231
- 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 1029-8479
- Publisher:
- Springer Berlin
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; Jets; QCD Phenomenology
Citation Formats
Kang, Zhong -Bo, Liu, Xiaohui, Ringer, Felix, and Xing, Hongxi. The transverse momentum distribution of hadrons within jets. United States: N. p., 2017.
Web. doi:10.1007/JHEP11(2017)068.
Kang, Zhong -Bo, Liu, Xiaohui, Ringer, Felix, & Xing, Hongxi. The transverse momentum distribution of hadrons within jets. United States. https://doi.org/10.1007/JHEP11(2017)068
Kang, Zhong -Bo, Liu, Xiaohui, Ringer, Felix, and Xing, Hongxi. Mon .
"The transverse momentum distribution of hadrons within jets". United States. https://doi.org/10.1007/JHEP11(2017)068. https://www.osti.gov/servlets/purl/1420109.
@article{osti_1420109,
title = {The transverse momentum distribution of hadrons within jets},
author = {Kang, Zhong -Bo and Liu, Xiaohui and Ringer, Felix and Xing, Hongxi},
abstractNote = {We study the transverse momentum distribution of hadrons within jets, where the transverse momentum is defined with respect to the standard jet axis. We consider the case where the jet substructure measurement is performed for an inclusive jet sample pp → jet + X. We demonstrate that this observable provides new opportunities to study transverse momentum dependent fragmentation functions (TMDFFs) which are currently poorly constrained from data, especially for gluons. The factorization of the cross section is obtained within Soft Collinear Effective Theory (SCET), and we show that the relevant TMDFFs are the same as for the more traditional processes semi-inclusive deep inelastic scattering (SIDIS) and electron-positron annihilation. Different than in SIDIS, the observable for the in-jet fragmentation does not depend on TMD parton distribution functions which allows for a cleaner and more direct probe of TMDFFs. We present numerical results and compare to available data from the LHC.},
doi = {10.1007/JHEP11(2017)068},
journal = {Journal of High Energy Physics (Online)},
number = 11,
volume = 2017,
place = {United States},
year = {Mon Nov 13 00:00:00 EST 2017},
month = {Mon Nov 13 00:00:00 EST 2017}
}
Web of Science
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