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Title: Extraction of the worm-gear TMD g1t from COMPASS, HERMES and JLab data on semi-inclusive DIS

Abstract

Transverse momentum dependent parton distributions (TMDs) are an important class of functions required to understand the 3D structure of hadrons in terms of their underlying partons. One of the least known TMDs in terms of a global QCD analysis is the worm-gear TMDg1t. It carries the probabilistic interpretation of finding longitudinally polarized quarks inside transversely polarized hadrons. In this proceedings, we present the first-ever global QCD analysis of the semi-inclusive DIS $$A^ {cos(φ_h-φ_S)}_{LT}$$ data using Monte Carlo techniques to extract the worm-gear TMDg1T. The relevant data are available from COMPASS, HERMES and JLab. We compare our results for g1T with different theoretical approaches, including the large-Nc approximation, the Wandzura Wilczek-type approximation, and lattice QCD.

Authors:
 [1];  [2];  [3];  [4];  [5]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States); Temple Univ., Philadelphia, PA (United States)
  2. Univ. of California, Los Angeles, CA (United States); Stony Brook Univ., NY (United States)
  3. Temple Univ., Philadelphia, PA (United States)
  4. Yale Univ., New Haven, CT (United States); Temple Univ., Philadelphia, PA (United States)
  5. Lebanon Valley College, Annville, PA (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Nuclear Physics (NP); National Science Foundation (NSF)
OSTI Identifier:
1855756
Report Number(s):
BNL-222880-2022-JAAM
Journal ID: ISSN 1824-8039; TRN: US2305047
Grant/Contract Number:  
SC0012704; PHY-2110472; PHY-1945471; PHY-2011763
Resource Type:
Accepted Manuscript
Journal Name:
PoS - Proceedings of Science
Additional Journal Information:
Journal Volume: 380; Conference: Particles and Nuclei International Conference - PANIC2021 , Lisbon (held virtually) (Portugal), 5-10 Sept 2021; Journal ID: ISSN 1824-8039
Publisher:
SISSA
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS

Citation Formats

Bhattacharya, Shohini, Kang, Zhong-Bo, Metz, Andreas, Penn, Gregory, and Pitonyak, Daniel. Extraction of the worm-gear TMD g1t from COMPASS, HERMES and JLab data on semi-inclusive DIS. United States: N. p., 2022. Web. doi:10.22323/1.380.0361.
Bhattacharya, Shohini, Kang, Zhong-Bo, Metz, Andreas, Penn, Gregory, & Pitonyak, Daniel. Extraction of the worm-gear TMD g1t from COMPASS, HERMES and JLab data on semi-inclusive DIS. United States. https://doi.org/10.22323/1.380.0361
Bhattacharya, Shohini, Kang, Zhong-Bo, Metz, Andreas, Penn, Gregory, and Pitonyak, Daniel. Wed . "Extraction of the worm-gear TMD g1t from COMPASS, HERMES and JLab data on semi-inclusive DIS". United States. https://doi.org/10.22323/1.380.0361. https://www.osti.gov/servlets/purl/1855756.
@article{osti_1855756,
title = {Extraction of the worm-gear TMD g1t from COMPASS, HERMES and JLab data on semi-inclusive DIS},
author = {Bhattacharya, Shohini and Kang, Zhong-Bo and Metz, Andreas and Penn, Gregory and Pitonyak, Daniel},
abstractNote = {Transverse momentum dependent parton distributions (TMDs) are an important class of functions required to understand the 3D structure of hadrons in terms of their underlying partons. One of the least known TMDs in terms of a global QCD analysis is the worm-gear TMDg1t. It carries the probabilistic interpretation of finding longitudinally polarized quarks inside transversely polarized hadrons. In this proceedings, we present the first-ever global QCD analysis of the semi-inclusive DIS $A^ {cos(φ_h-φ_S)}_{LT}$ data using Monte Carlo techniques to extract the worm-gear TMDg1T. The relevant data are available from COMPASS, HERMES and JLab. We compare our results for g1T with different theoretical approaches, including the large-Nc approximation, the Wandzura Wilczek-type approximation, and lattice QCD.},
doi = {10.22323/1.380.0361},
journal = {PoS - Proceedings of Science},
number = ,
volume = 380,
place = {United States},
year = {Wed Mar 02 00:00:00 EST 2022},
month = {Wed Mar 02 00:00:00 EST 2022}
}