Session

TMDs I

9 Jun 2026, 11:10
Cagliari, Italy

Cagliari, Italy

Fondazione di Sardegna Via San Salvatore da Horta 2 Cagliari (Sardinia, Italy)

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  1. Bakur Parsamyan (Istituto Nazionale di Fisica Nucleare)
    09/06/2026, 11:10

    The COMPASS experiment at CERN has provided a broad and unique fixed-target program addressing key questions in QCD, with particular emphasis on the spin and transverse-momentum structure of the nucleon. Using high-energy muon and hadron beams, COMPASS has performed complementary SIDIS and Drell-Yan measurements, including the recent 2022 SIDIS data with a transversely polarized deuteron...

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  2. Marco Radici (Istituto Nazionale di Fisica Nucleare)
    09/06/2026, 11:40

    Transverse-Momentum dependent Distributions (TMDs) are a key tool to build a 3-Dim tomography of hadrons in momentum space. I will illustrate what we currently know about (polarized) quark TMDs in both Nucleon and pion. I will discuss the potential impact and possible opportunities at future colliders, in particular at the upcoming Electron-Ion Collider (EIC) and the Large Hadron Collider...

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  3. Dr Maria Zurita (Complutense University of Madrid)
    09/06/2026, 12:10

    The description of transverse momentum dependent (TMD) observables requires a sound knowledge of TMD partonic densities. In this talk I will present ART25, a recent simultaneous extraction of unpolarised TMD PDFs and TMD FFs using the open source code artemide, and the corresponding Collins-Soper kernel. ART25 incorporates large-x resummation, flavor and fragmentation function dependence, to...

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  4. Andrea Simonelli (Istituto Nazionale di Fisica Nucleare)
    09/06/2026, 12:35

    Transverse Momentum Dependent (TMD) parton densities are well-defined QCD operators, however their determination remains challenging due to the dominance of non-perturbative effects at low energy scales. As a consequence, the impact of phenomenological modeling is difficult to control and may lead to a misinterpretation of the information carried by experimental data.
    In this talk, the most...

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