21 citations · 35 across the 5 of their papers we have counts for
5 papers
Ring-based ML calibration with in situ pileup correction for real-time jet triggers
Benjamin T. Carlson, Stephen T. Roche, Michael Hemmett +1
We present a machine learning (ML) method to calibrate hadronic jet energy in real-time trigger systems of the High-Luminosity Large Hadron Collider (HL-LHC) using an efficient imp…
Nanosecond hardware regression trees in FPGA at the LHC
Pavel Serhiayenka, Stephen Roche, Benjamin Carlson +1
We present a generic parallel implementation of the decision tree-based machine learning (ML) method in hardware description language (HDL) on field programmable gate arrays (FPGA)…
Machine learning evaluation in the Global Event Processor FPGA for the ATLAS trigger upgrade
Zhixing Jiang, Scott Hauck, Dennis Yin +7
The Global Event Processor (GEP) FPGA is an area-constrained, performance-critical element of the Large Hadron Collider's (LHC) ATLAS experiment. It needs to very quickly determine…
Nanosecond anomaly detection with decision trees and real-time application to exotic Higgs decays
Stephen Roche, Quincy Bayer, Benjamin Carlson +4
We present an interpretable implementation of the autoencoding algorithm, used as an anomaly detector, built with a forest of deep decision trees on FPGA, field programmable gate a…
Nanosecond machine learning regression with deep boosted decision trees in FPGA for high energy physics
Benjamin Carlson, Quincy Bayer, Tae Min Hong +1
We present a novel application of the machine learning / artificial intelligence method called boosted decision trees to estimate physical quantities on field programmable gate arr…