Le Pottier L.

The LHC Olympics 2020 a community challenge for anomaly detection in high energy physics

Article

Abstract: A new paradigm for data-driven, model-agnostic new physics searches at colliders is emerging, and ai

Palabras claves:

Anomaly detection, beyond the standard model, Machine learning, model-agnostic methods, semisupervised learning, unsupervised learning, weakly supervised learning

Autores:

Amram O., Andreassen A., Benkendorfer K., Bortolato B., Brooijmans G., Canelli F., Collins J.H., Cristina Mantilla Suarez, Dai B., De Freitas F.F., Dillon B.M., Dinu I.M., Dong Z., Donini J., Duarte J., Faroughy D.A., Gonski J., Harris P., Kahn A., Kamenik J.F., Kasieczka G., Khosa C.K., Komiske P., Le Pottier L., Martín-Ramiro P., Matevc A., Metodiev E., Mikuni V., Murphy C.W., Nachman B., Ochoa I., Park S.E., Pierini M., Rankin D., Sanz V., Sarda N., Seljak U., Shih D., Smolkovic A., Stein G., Szewc M., Thaler J., Tsan S., Udrescu S.M., Vaslin L., Vlimant J.R., Williams D., Yunus M.

Fuentes:

scopus