741 citations · 7.2k across the 116 of their papers we have counts for
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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…
New energy spectra in neutrino and photon detectors to reveal hidden dark matter signals
Wim Beenakker, Sascha Caron, Jochem Kip +2
Neutral particles capable of travelling cosmic distances from a source to detectors on Earth are limited to photons and neutrinos. Examination of the Dark Matter annihilation/decay…
Attention to the strengths of physical interactions: Transformer and graph-based event classification for particle physics experiments
Luc Builtjes, Sascha Caron, Polina Moskvitina +4
A major task in particle physics is the measurement of rare signal processes. Even modest improvements in background rejection, at a fixed signal efficiency, can significantly enha…
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…
Non-Standard Neutrino Spectra From Annihilating Neutralino Dark Matter
Melissa van Beekveld, Wim Beenakker, Sascha Caron +3
Neutrino telescope experiments are rapidly becoming more competitive in indirect detection searches for dark matter. Neutrino signals arising from dark matter annihilations are typ…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…