Score-based diffusion models for generating liquid argon time projection chamber images

Imani, Zeviel; Wongjirad, Taritree; Aeron, Shuchin

doi:10.1103/PhysRevD.109.072011

Title: Score-based diffusion models for generating liquid argon time projection chamber images

Journal Article · 17 April 2024 · Physical Review. D.

DOI: https://doi.org/10.1103/PhysRevD.109.072011 · OSTI ID:2338236

; Wongjirad, Taritree;

For the first time, we show high-fidelity generation of Liquid Argon Time Projection Chamber (LArTPC-like) data using a generative neural network. This demonstrates that methods developed for natural images do transfer to LArTPC-produced images, which, in contrast to natural images, are globally sparse but locally dense. We present the score-based diffusion method employed. We evaluate the fidelity of the generated images using several quality metrics, including modified measures used to evaluate natural images, comparisons between high-dimensional distributions, and comparisons relevant to LArTPC experiments. Published by the American Physical Society 2024

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Sponsoring Organization:: USDOE Office of Science (SC), High Energy Physics (HEP)

Grant/Contract Number:: SC0007866

OSTI ID:: 2338236

Journal Information:: Physical Review. D., Journal Name: Physical Review. D. Journal Issue: 7 Vol. 109; ISSN PRVDAQ; ISSN 2470-0010

Publisher:: American Physical SocietyCopyright Statement

Country of Publication:: United States

Language:: English

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