220 citations · 1.1k across the 20 of their papers we have counts for
20 papers
Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider
Ambre Visive, Roberto Ruiz de Austri, Polina Moskvitina +2
Anomaly detection in High Energy Physics requires identifying rare signals against overwhelming backgrounds, without prior knowledge of the signal. We present the first application…
Large Physics Models: Towards a collaborative approach with Large Language Models and Foundation Models
Kristian G. Barman, Sascha Caron, Emily Sullivan +19
This paper explores ideas and provides a potential roadmap for the development and evaluation of physics-specific large-scale AI models, which we call Large Physics Models (LPMs).…
Mind the gap: The discrepancy between simulation and reality drives interpretations of the Galactic Center Excess
Sascha Caron, Christopher Eckner, Luc Hendriks +3
The Galactic Center Excess (GCE) in GeV gamma rays has been debated for over a decade, with the possibility that it might be due to dark matter annihilation or undetected point sou…
Mixture-of-theories Training: Can We Find New Physics and Anomalies Better by Mixing Physical Theories?
Sascha Caron, Roberto Ruiz de Austri, Zhongyi Zhang
Model-independent search strategies have been increasingly proposed in recent years because on the one hand there has been no clear signal for new physics and on the other hand the…
Impact of QCD uncertainties on antiproton spectra from dark-matter annihilation
Adil Jueid, Jochem Kip, Roberto Ruiz de Austri +1
Dark-matter particles that annihilate or decay can undergo complex sequences of processes, including strong and electromagnetic radiation, hadronisation, and hadron decays, before…
The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider
T. Aarrestad, M. van Beekveld, M. Bona +36
We describe the outcome of a data challenge conducted as part of the Dark Machines Initiative and the Les Houches 2019 workshop on Physics at TeV colliders. The challenged aims at…