Machine Learning Enables Real-Time Waveform Decomposition for Dual-Readout Calorimetry
ML-based waveform decomposition enables real-time Cherenkov/scintillation separation in dual-readout crystal calorimeters with reduced sampling requirements and FPGA-compatible latency.
Apr 28, 2026
Phenomenological Detector Design and Optimization in Vertically-Integrated Differentiable Full Simulations with Agentic-AI
First demonstration of agentic-AI driven detector optimization using vertically-integrated bilevel framework for dual-readout calorimeters.
Apr 23, 2026
Edge Machine Learning for Cluster Counting in Next-Generation Drift Chambers
A demonstration of ML-based cluster counting for drift chambers is presented.
Nov 13, 2025
eFPGA Technology
Machine Learning At-source
Oct 10, 2025
Embedded ML Solutions for Real-time Processing in Future Drift Chambers
Online Data Compression
Oct 6, 2025
Foundation Model for HEP
Unsupervised Backbone Model
Jul 11, 2025