2 citations · 7 across the 9 of their papers we have counts for
10 papers
PDF effects in high-mass Drell-Yan SMEFT analyses across flavour space
David Marzocca, Manuel Morales-Alvarado
High-mass Drell-Yan dilepton production provides one of the most sensitive probes of semileptonic four-fermion operators in the Standard Model Effective Field Theory (SMEFT), thank…
Tailored PDFs for New Physics searches
Ella Cole, Mark N. Costantini, Elie Hammou +4
Given the non-negligible interplay between parton distribution functions (PDFs) at large x and potential New Physics (NP) effects in the high-energy tails of hadron collider observ…
Quark mixing from muon collider neutrinos
David Marzocca, Francesco Montagno, Manuel Morales-Alvarado +1
A high energy muon collider naturally produces a collimated beam of neutrinos for a fixed-target experiment at a dedicated far-forward facility. The high intensity and energy of th…
MuCol Milestone Report No. 7: Consolidated Parameters
Rebecca Taylor, Antoine Chancé, Dario Augusto Giove +459
This document is comprised of a collection of consolidated parameters for the key parts of the muon collider. These consolidated parameters follow on from the October 2024 Prelimin…
Foundation models for equation discovery in high energy physics
Manuel Morales-Alvarado
Foundation models, large machine learning models trained on broad, multimodal datasets, have been gaining increasing attention in scientific applications due to their strong perfor…
Angular Coefficients from Interpretable Machine Learning with Symbolic Regression
Josh Bendavid, Daniel Conde, Manuel Morales-Alvarado +2
We explore the use of symbolic regression to derive compact analytical expressions for angular observables relevant to electroweak boson production at the Large Hadron Collider (LH…