3 citations · 3 across the 6 of their papers we have counts for
6 papers
AI and the Research-Education Environment of Physics
Savannah Thais, Koji Hashimoto, David S. Berman +6
In the current era of AI transforming the research-education environment of physics, variety of issues and concerns arise. The KITP program "Generative AI for High and Low Energy P…
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…
Optimal Transport for Particle Classification in LArTPC Neutrino Experiments
David Caratelli, Nathaniel Craig, Chuyue Fang +1
The efficient classification of electromagnetic activity from and electrons remains an open problem in the reconstruction of neutrino interactions in Liquid Argon Time Projec…
Loops in supergroups
Nathaniel Craig, Emanuele Gendy, Jessica N. Howard
We study the theory of a scalar in the fundamental representation of the internal supergroup . Remarkably, for its tree-level mass does not receive quantum correct…
Supergroup Symmetries and the Hierarchy Problem
Nathaniel Craig, Emanuele Gendy, Jessica N. Howard
We show that the mass of a scalar field transforming in the fundamental of an supergroup internal symmetry is protected against one-loop corrections from quartic, gauge…
Exploring Optimal Transport for Event-Level Anomaly Detection at the Large Hadron Collider
Nathaniel Craig, Jessica N. Howard, Hancheng Li
Anomaly detection is a promising, model-agnostic strategy to find physics beyond the Standard Model. State-of-the-art machine learning methods offer impressive performance on anoma…