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Statut |
Confirmé |
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Série |
IJCLAB-HEP |
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Domaines |
hep-ph |
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Date |
Mercredi 10 Décembre 2025 |
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Heure |
11:00 |
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Institut |
IJCLAB |
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Salle |
100/2-A201 - Salle A201 (IJCLab) |
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Nom de l'orateur |
Cerutti |
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Prenom de l'orateur |
Matteo |
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Addresse email de l'orateur |
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Institution de l'orateur |
IRFU CEA |
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Titre |
Advances in TMD phenomenology with Neural Networks |
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Résumé |
In recent years, the extraction of Transverse Momentum Distributions (TMDs) has entered a new phase in which methodological advancements are becoming as important as new data. In this talk, I will focus on two recent key developments in TMD phenomenology. First, I will present a new neural-network–based approach for parametrizing TMDs developed within the framework of the MAP Collaboration. This approach significantly enhances the flexibility of the parametrization and reduces functional biases, allowing for a more faithful reconstruction of intrinsic transverse momentum distributions. Second, I will discuss very recent progress toward combining experimental measurements with lattice-QCD calculations to constrain the nonperturbative part of TMD evolution. This emerging synergy offers a promising path to achieving a more controlled description of the nonperturbative behaviour of the Collins-Soper kernel, where phenomenology alone typically suffers from limited sensitivity. These methodological advances are expected to play a crucial role in enabling precision TMD studies for future facilities such as the Electron-Ion Collider (EIC) and the high-luminosity upgrade of the Large Hadron Collider (LHC). |
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Numéro de preprint arXiv |
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Commentaires |
https://indico.ijclab.in2p3.fr/event/12422/ |
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Fichiers attachés |
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