Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images
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arXiv
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| Format: | Preprint |
| Published: |
2023
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| _version_ | 1866909162617700352 |
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| author | Imani, Zeviel Aeron, Shuchin Wongjirad, Taritree |
| author_facet | Imani, Zeviel Aeron, Shuchin Wongjirad, Taritree |
| contents | For the first time, we show high-fidelity generation of 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2307_13687 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images Imani, Zeviel Aeron, Shuchin Wongjirad, Taritree High Energy Physics - Experiment For the first time, we show high-fidelity generation of 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. |
| title | Score-based Diffusion Models for Generating Liquid Argon Time Projection Chamber Images |
| topic | High Energy Physics - Experiment |
| url | https://arxiv.org/abs/2307.13687 |