168 citations · 759 across the 17 of their papers we have counts for
13 papers · 1 filter
Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data
Cole Granger, Alessandro Bacchetta, Valerio Bertone +6
We present an analytical parametrization of the non-perturbative transverse-momentum-dependent (TMD) parton distribution function of unpolarized quarks, extracted from Drell-Yan da…
An extraction of the Collins-Soper kernel from a joint analysis of experimental and lattice data
Artur Avkhadiev, Valerio Bertone, Chiara Bissolotti +6
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 dis…
ArgoLOOM: agentic AI for fundamental physics from quarks to cosmos
S. D. Bakshi, P. Barry, C. Bissolotti +12
Progress in modern physics has been supported by a steadily expanding corpus of numerical analyses and computational frameworks, which in turn form the basis for precision calculat…
A Neural-Network Extraction of Unpolarised Transverse-Momentum-Dependent Distributions
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti +4
We present the first extraction of transverse-momentum-dependent distributions of unpolarised quarks from experimental Drell-Yan data using neural networks to parametrise their non…
Flavor dependence of unpolarized quark Transverse Momentum Distributions from a global fit
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti +6
We present an extraction of the unpolarized transverse-momentum-dependent parton distribution and fragmentation functions that takes into account possible differences between quark…
SMEFT analysis with LHeC, FCC-eh, and EIC DIS pseudodata
Chiara Bissolotti, Radja Boughezal, Kaan Simsek
In this study, we examine the possibilities opened by upcoming high-energy deep-inelastic scattering (DIS) experiments to investigate new physics within the framework of the Standa…
SMEFT probes in future precision DIS experiments
Chiara Bissolotti, Radja Boughezal, Kaan Simsek
We analyze the potential of future high-energy deep-inelastic scattering (DIS) experiments to probe new physics within the framework of the Standard Model Effective Field Theory (S…
The case for an EIC Theory Alliance: Theoretical Challenges of the EIC
Raktim Abir, Igor Akushevich, Tolga Altinoluk +167
We outline the physics opportunities provided by the Electron Ion Collider (EIC). These include the study of the parton structure of the nucleon and nuclei, the onset of gluon satu…
Extraction of Pion Transverse Momentum Distributions from Drell-Yan data
Matteo Cerutti, Lorenzo Rossi, Simone Venturini +4
We map the distribution of unpolarized quarks inside a unpolarized pion as a function of the quark's transverse momentum, encoded in unpolarized Transverse Momentum Distributions (…
Unpolarized Transverse Momentum Distributions from a global fit of Drell-Yan and Semi-Inclusive Deep-Inelastic Scattering data
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti +5
We present an extraction of unpolarized transverse-momentum-dependent parton distribution and fragmentation functions based on more than two thousands data points from several expe…
Snowmass 2021 whitepaper: Proton structure at the precision frontier
S. Amoroso, A. Apyan, N. Armesto +54
An overwhelming number of theoretical predictions for hadron colliders require parton distribution functions (PDFs), which are an important ingredient of theory infrastructure for…
TMDlib2 and TMDplotter: a platform for 3D hadron structure studies
N. A. Abdulov, A. Bacchetta, S. Baranov +35
A common library, TMDlib2, for Transverse-Momentum-Dependent distributions (TMDs) and unintegrated parton distributions (uPDFs) is described, which allows for easy access of common…
Transverse-momentum-dependent parton distributions up to NLL from Drell-Yan data
Alessandro Bacchetta, Valerio Bertone, Chiara Bissolotti +4
We present an extraction of unpolarised Transverse-Momentum-Dependent Parton Distribution Functions based on Drell-Yan production data from different experiments, including those a…