Phenomenology 2025 Symposium

Jet calibration with in-situ pileup suppression

20 May 2025, 14:15

15m

David Lawrence Hall 107, University of Pittsburgh

Machine Learning and Artificial Intelligence in Particle Physics Machine Learning

Speaker

Stephen Roche (Saint Louis University)

Description

We present a method to suppress pileup and calibrate hadronic jet energy at L1 triggers using boosted decision trees for regression and classification. The fwX platform is used for implementation of BDTs on FPGA within the necessary timing and resource constraints. The in-situ pileup suppression can improve trigger performance in the high pileup environment of the HL-LHC.