250 citations · 968 across the 23 of their papers we have counts for
25 papers
A penalty-free Shifted Boundary Method of arbitrary order
J. Haydel Collins, Alexei Lozinski, Guglielmo Scovazzi
We introduce and analyze a penalty-free formulation of the Shifted Boundary Method (SBM), inspired by the asymmetric version of the Nitsche method. We prove its stability and conve…
Weakly-Supervised Anomaly Detection in the Milky Way
Mariel Pettee, Sowmya Thanvantri, Benjamin Nachman +3
Large-scale astrophysics datasets present an opportunity for new machine learning techniques to identify regions of interest that might otherwise be overlooked by traditional searc…
Report of the Topical Group on Physics Beyond the Standard Model at Energy Frontier for Snowmass 2021
Tulika Bose, Antonio Boveia, Caterina Doglioni +318
This is the Snowmass2021 Energy Frontier (EF) Beyond the Standard Model (BSM) report. It combines the EF topical group reports of EF08 (Model-specific explorations), EF09 (More gen…
Machine-Learning Compression for Particle Physics Discoveries
Jack H. Collins, Yifeng Huang, Simon Knapen +2
In collider-based particle and nuclear physics experiments, data are produced at such extreme rates that only a subset can be recorded for later analysis. Typically, algorithms sel…
Snowmass2021 White Paper: Collider Physics Opportunities of Extended Warped Extra-Dimensional Models
Kaustubh Agashe, Jack H. Collins, Peizhi Du +5
While the warped extra-dimensional models provide an attractive solution to both the gauge and the flavor hierarchy problems, the mass scale of new particles predicted by the minim…
An Exploration of Learnt Representations of W Jets
Jack H. Collins
I present a Variational Autoencoder (VAE) trained on collider physics data (specifically boosted jets), with reconstruction error given by an approximation to the Earth Movers…