[HTML][HTML] Science requirements and detector concepts for the electron-ion collider: EIC yellow report

RA Khalek, A Accardi, J Adam, D Adamiak, W Akers… - Nuclear Physics A, 2022 - Elsevier
This report describes the physics case, the resulting detector requirements, and the evolving
detector concepts for the experimental program at the Electron-Ion Collider (EIC). The EIC …

[HTML][HTML] 50 Years of quantum chromodynamics: Introduction and Review

F Gross, E Klempt, SJ Brodsky, AJ Buras… - The European Physical …, 2023 - Springer
Quantum Chromodynamics, the theory of quarks and gluons, whose interactions can be
described by a local SU (3) gauge symmetry with charges called “color quantum numbers” …

[HTML][HTML] The forward physics facility at the high-luminosity LHC

JL Feng, F Kling, MH Reno, J Rojo… - Journal of Physics G …, 2023 - iopscience.iop.org
High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large
number of particles along the beam collision axis, outside of the acceptance of existing LHC …

Snowmass 2021 whitepaper: Proton structure at the precision frontier

S Amoroso, A Apyan, N Armesto, RD Ball… - arXiv preprint arXiv …, 2022 - arxiv.org
An overwhelming number of theoretical predictions for hadron colliders require parton
distribution functions (PDFs), which are an important ingredient of theory infrastructure for …

A Monte Carlo global analysis of the Standard Model Effective Field Theory: the top quark sector

NP Hartland, F Maltoni, ER Nocera, J Rojo… - Journal of High Energy …, 2019 - Springer
A bstract We present a novel framework for carrying out global analyses of the Standard
Model Effective Field Theory (SMEFT) at dimension-six: SMEFiT. This approach is based on …

Exploring QCD matter in extreme conditions with Machine Learning

K Zhou, L Wang, LG Pang, S Shi - Progress in Particle and Nuclear Physics, 2023 - Elsevier
In recent years, machine learning has emerged as a powerful computational tool and novel
problem-solving perspective for physics, offering new avenues for studying strongly …

Non-perturbative structure of semi-inclusive deep-inelastic and Drell-Yan scattering at small transverse momentum

I Scimemi, A Vladimirov - Journal of High Energy Physics, 2020 - Springer
A bstract We consider semi-inclusive deep inelastic scattering (SIDIS) and Drell-Yan events
within transverse momentum dependent (TMD) factorization. Based on the simultaneous fit …

Parton distributions and lattice QCD calculations: a community white paper

HW Lin, ER Nocera, F Olness, K Orginos, J Rojo… - Progress in Particle and …, 2018 - Elsevier
In the framework of quantum chromodynamics (QCD), parton distribution functions (PDFs)
quantify how the momentum and spin of a hadron are divided among its quark and gluon …

The structure of the proton in the LHC precision era

J Gao, L Harland-Lang, J Rojo - Physics Reports, 2018 - Elsevier
We review recent progress in the determination of the parton distribution functions (PDFs) of
the proton, with emphasis on the applications for precision phenomenology at the Large …

An open-source machine learning framework for global analyses of parton distributions

NNPDF collaboration, RD Ball, S Carrazza… - The European Physical …, 2021 - Springer
We present the software framework underlying the NNPDF4. 0 global determination of
parton distribution functions (PDFs). The code is released under an open source licence and …