An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866908620310970368 |
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| author | Avkhadiev, Artur Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Fu, Yang Rodini, Simone Shanahan, Phiala Wagman, Michael Zhao, Yong |
| author_facet | Avkhadiev, Artur Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Fu, Yang Rodini, Simone Shanahan, Phiala Wagman, Michael Zhao, Yong |
| contents | We present a first joint extraction of the Collins-Soper kernel (CSK) combining experimental and lattice QCD data in the context of an analysis of transverse-momentum-dependent distributions (TMDs). Based on a neural-network parametrization, we perform a Bayesian reweighting of an existing fits of TMDs using lattice data, as well as a joint TMD fit to lattice and experimental data. We consistently find that the inclusion of lattice information shifts the central value of the CSK by approximately 10% and reduces its uncertainty by 40-50%, highlighting the potential of lattice inputs to improve TMD extractions. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2510_26489 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data Avkhadiev, Artur Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Fu, Yang Rodini, Simone Shanahan, Phiala Wagman, Michael Zhao, Yong High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice We present a first joint extraction of the Collins-Soper kernel (CSK) combining experimental and lattice QCD data in the context of an analysis of transverse-momentum-dependent distributions (TMDs). Based on a neural-network parametrization, we perform a Bayesian reweighting of an existing fits of TMDs using lattice data, as well as a joint TMD fit to lattice and experimental data. We consistently find that the inclusion of lattice information shifts the central value of the CSK by approximately 10% and reduces its uncertainty by 40-50%, highlighting the potential of lattice inputs to improve TMD extractions. |
| title | An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment High Energy Physics - Lattice |
| url | https://arxiv.org/abs/2510.26489 |