Poster
in
Workshop: NeurIPS 2024 Workshop: Machine Learning and the Physical Sciences
Unpaired Translation of Point Clouds for Modeling Detector Response
Mingyang Li · Curtis Hunt · Michelle Kuchera · Raghuram Ramanujan · Yassid Ayyad · Adam Anthony
Abstract:
Modeling detector response is a key challenge in time projection chambers. We cast this problem as an unpaired point cloud translation task, between data collected from simulations and from experimental runs. Doing so can assist with both noise rejection and the construction of high-fidelity simulators. Building on recent work in diffusion probabilistic models, we present a novel framework for performing this translation. We demonstrate the success of our approach in both synthetic domains and in data sourced from the Active-Target Time Projection Chamber.
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