Anomaly detection under coordinate transformations
Work
Year: 2023
Type: article
Abstract: There is a growing need for machine learning-based anomaly detection strategies to broaden the search for Beyond-the-Standard-Model (BSM) physics at the Large Hadron Collider (LHC) and elsewhere. The ... more
Institutions Universität Hamburg, Lawrence Berkeley National Laboratory, University of California, Berkeley, National Energy Research Scientific Computing Center, Rutgers, The State University of New Jersey
Cites: 80
Cited by: 20
Related to: 10
FWCI: 4.201
Citation percentile (by year/subfield): 99.99
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Sustainable Development Goal Affordable and clean energy
Open Access status: hybrid
Funders National Science Foundation, U.S. Department of Energy, National Energy Research Scientific Computing Center, Deutsche Forschungsgemeinschaft, Office of Science
Grant IDS DGE 2146752, DOE-SC0010008, HEP-ERCAP0021099, , DE-AC02-05CH11231