Deep neural network for pixel-level electromagnetic particle identification in the MicroBooNE liquid argon time projection chamber
We have developed a convolutional neural network that can make a pixel-level prediction of objects in image data recorded by a liquid argon time projection chamber (LArTPC) for the first time. We describe the network design, training techniques, and software tools developed to train this network. Th...
| Format: | Article |
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| Language: | English |
| Published: |
American Physical Society (APS)
2021
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| Online Access: | https://hdl.handle.net/1721.1/132222 |