Calorimetry

Machine Learning Enables Real-Time Waveform Decomposition for Dual-Readout Calorimetry
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
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