1.0KMI - Nagoya Universityhttps://www.kmi.nagoya-u.ac.jp/engAdvancing Event Reconstruction and Calibration via Differentiable Optical Detector Simulation - KMI - Nagoya Universityrich600338<blockquote class="wp-embedded-content" data-secret="EsvJebBpVM"><a href="https://www.kmi.nagoya-u.ac.jp/eng/seminar/3426/">Advancing Event Reconstruction and Calibration via Differentiable Optical Detector Simulation</a></blockquote><iframe sandbox="allow-scripts" security="restricted" src="https://www.kmi.nagoya-u.ac.jp/eng/seminar/3426/embed/#?secret=EsvJebBpVM" width="600" height="338" title="“Advancing Event Reconstruction and Calibration via Differentiable Optical Detector Simulation” — KMI - Nagoya University" data-secret="EsvJebBpVM" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" class="wp-embedded-content"></iframe><script type="text/javascript">
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Next-generation Water Cherenkov detectors aim to probe fundamental questions in neutrino physics. These measurements demand unprecedented precision in detector calibration and event reconstruction that push beyond traditional Monte Carlo techniques. We present LUCiD, the first differentiable ray-tracing framework for optical particle detectors. Rather than sampling discrete photon paths, LUCiD computes expected detector responses by propagating probability weights through the optical system, with all operations differentiable end-to-end. Processing one million photons with gradients takes tens of milliseconds on a single GPU, …