23-26 February 2021
Zoom Passcode: 990417
America/Chicago timezone

Anomaly detection with machine learning in LHC Olympics 2020

24 Feb 2021, 17:05
20m
Zoom Link: https://kansas.zoom.us/j/92389769214 (Zoom Passcode: 990417)

Zoom Link: https://kansas.zoom.us/j/92389769214

Zoom Passcode: 990417

Zoom Link: https://kansas.zoom.us/j/92389769214 Zoom Passcode: 990417 Zoom Meeting ID: 923 8976 9214

Speaker

Cosmos Dong

Description

The search for physics beyond standard model in LHC experiments has been strong interest. However, we have yet been able to discover new physics through model dependent search. Recent developments in machine learning offers great potential in the direction of model independent search. The LHC Olympics 2020 is a challenge for researchers to determine whether there are BSM events in black box data consists mostly of generic QCD events. I will explain my attempts to the challenege, as well as some of the more successful attempts done by other participants.

Type of contribution Oral contribution (20 minutes)

Primary author

Presentation Materials