26 citations · 35 across the 3 of their papers we have counts for
3 papers
Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision
Thea Klaeboe Aarrestad, Alaa Abdelhamid, Haider Abidi +457
Experimental particle physics seeks to understand the universe by probing its fundamental particles and forces and exploring how they govern the large-scale processes that shape co…
Explainable machine learning of the underlying physics of high-energy particle collisions
Yue Shi Lai, Duff Neill, Mateusz Płoskoń +1
We present an implementation of an explainable and physics-aware machine learning model capable of inferring the underlying physics of high-energy particle collisions using the inf…
Sub-jet structure as a discriminating quenching probe
Xiaoming Zhang, Liliana Apolinário, José Guilherme Milhano +1
In this work, we propose a new class of jet substructure observables which, unlike fragmentation functions, are largely insensitive to the poorly known physics of hadronization. We…