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FastDIRC: a fast Monte Carlo and reconstruction algorithm for DIRC detectors
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FastDIRC is a novel fast Monte Carlo and reconstruction algorithm for DIRC detectors. A DIRC employs rectangular fused-silica bars both as Cherenkov radiators and as light guides. Cherenkov-photon imaging and time-of-propagation information are utilized by a DIRC to identify charged particles. GEANT-based DIRC Monte Carlo simulations are extremely CPU intensive. The FastDIRC algorithm permits fully simulating a DIRC detector more than 10000 times faster than using GEANT. This facilitates designing a DIRC-reconstruction algorithm that improves the Cherenkov-angle resolution of a DIRC detector by about 30% compared to existing algorithms. FastDIRC also greatly reduces the time required to study competing DIRC-detector designs.
Forward citations
Cited by 2 Pith papers
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Towards Foundation Models for Experimental Readout Systems Combining Discrete and Continuous Data
A single transformer with separate pixel and time vocabularies generates realistic Cherenkov detector hits and supports particle identification and noise filtering after fine-tuning.
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Generative Models for Fast Simulation of Cherenkov Detectors at the Electron-Ion Collider
A generative-model suite reproduces DIRC Cherenkov detector hit patterns for pions and kaons, with a photon-yield sampler and GPU-based fast simulation that is orders of magnitude faster than Geant4.
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