A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions
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arXiv
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| Autori principali: | , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
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| _version_ | 1866916600994594816 |
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| author | Bacchetta, Alessandro Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Radici, Marco Rodini, Simone Rossi, Lorenzo |
| author_facet | Bacchetta, Alessandro Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Radici, Marco Rodini, Simone Rossi, Lorenzo |
| contents | We present the first extraction of transverse-momentum-dependent distributions of unpolarised quarks from experimental Drell-Yan data using neural networks to parametrise their nonperturbative part. We show that neural networks outperform traditional parametrisations providing a more accurate description of data. This work establishes the feasibility of using neural networks to explore the multi-dimensional partonic structure of hadrons and paves the way for more accurate determinations based on machine-learning techniques. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_04166 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions Bacchetta, Alessandro Bertone, Valerio Bissolotti, Chiara Cerutti, Matteo Radici, Marco Rodini, Simone Rossi, Lorenzo High Energy Physics - Phenomenology High Energy Physics - Experiment We present the first extraction of transverse-momentum-dependent distributions of unpolarised quarks from experimental Drell-Yan data using neural networks to parametrise their nonperturbative part. We show that neural networks outperform traditional parametrisations providing a more accurate description of data. This work establishes the feasibility of using neural networks to explore the multi-dimensional partonic structure of hadrons and paves the way for more accurate determinations based on machine-learning techniques. |
| title | A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions |
| topic | High Energy Physics - Phenomenology High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2502.04166 |