Tufts Neutrino Group
Published April 29, 2021 | Version simdl2021_v1
Conference paper Open

Towards Designing and Exploiting Generative Networks for Neutrino Physics Experiments using Liquid Argon Time Projection Chambers

Creators

  • 1. Tufts University

Description

These are weights for the track-shower semantic segmentation network used to evaluate generated images. Shared in order to facilitate comparison between different efforts. The scripts to train and deploy this network can be found on the simdl2021_rc branch of the LArTPC-VQVAE repository found here.

Notes

arXiv version of paper: https://arxiv.org/abs/2204.02496

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