TY  - EJOUR
AU  - Bacchetta, Alessandro
AU  - Bertone, Valerio
AU  - Bissolotti, Chiara
AU  - Cerutti, Matteo
AU  - Radici, Marco
AU  - Rodini, Simone
AU  - Rossi, Lorenzo
TI  - A Neural-Network Extraction ofUnpolarised Transverse-Momentum-Dependent Distributions
IS  - DESY-25-022
M1  - PUBDB-2025-00641
M1  - DESY-25-022
M1  - JLAB-THY-25-4221
M1  - arXiv:2502.04166
PY  - 2025
AB  - We present the first extraction from experimental Drell-Yan data of unpolarised transverse-momentum-dependent distributions using neural networks to parametrise their nonperturbativepart. We show that neural networks outperform traditional parametrisations achieving a betterdescription of data. This work not only establishes the feasibility of using neural networks to ex-plore the multi-dimensional partonic structure of hadrons, but also paves the way to more accuratedeterminations which exploit machine-learning techniques.
LB  - PUB:(DE-HGF)25
DO  - DOI:10.3204/PUBDB-2025-00641
UR  - https://bib-pubdb1.desy.de/record/623193
ER  -