Speaker
Seokju Chung
(Columbia University)
Description
Real-time anomaly triggers based on autoencoders have been successfully demonstrated at the CMS experiment, including CICADA (operating on raw calorimeter data from ECAL and HCAL) and AXOL1TL (operating on trigger-level reconstructed objects such as electrons, taus, and jets). Motivated by the CICADA project, we explore the feasibility of applying similar techniques to raw wire data, which carry ionization energy deposition information, from Liquid Argon Time Projection Chambers (LArTPCs). In this talk, I will present the physics performance of such networks and share initial benchmarks toward hardware implementation and acceleration in FPGAs.
Primary author
Seokju Chung
(Columbia University)