489 citations · 1.8k across the 28 of their papers we have counts for
5 papers · 1 filter
Melting LHC detectors: a novel search for stopped long-lived particles
Julia L. Gonski, Peter W. Graham, Surjeet Rajendran +2
Particles at the TeV scale with lifetimes of a year or longer could have been abundantly produced at the LHC yet escaped detection because of backgrounds, and could still be trappe…
Semi-supervised permutation invariant particle-level anomaly detection
Gabriel Matos, Elena Busch, Ki Ryeong Park +1
The development of analysis methods to distinguish potential beyond the Standard Model phenomena in a model-agnostic way can significantly enhance the discovery reach in collider e…
High-dimensional Anomaly Detection with Radiative Return in Collisions
Julia Gonski, Jerry Lai, Benjamin Nachman +1
Experiments at a future collider will be able to search for new particles with masses below the nominal centre-of-mass energy by analyzing collisions with initial-stat…
Anomalous Jet Identification via Sequence Modeling
Alan Kahn, Julia Gonski, Inês Ochoa +2
This paper presents a novel method of searching for boosted hadronically decaying objects by treating them as anomalous elements of a contaminated dataset. A Variational Recurrent…
The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics
Gregor Kasieczka, Benjamin Nachman, David Shih +44
A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and aims to leverage recent breakthroughs in anomaly detection and machine learning. I…