https://github.com/attpc/event-classification
Machine learning methods for classifying events from the AT-TPC.
Science Score: 10.0%
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Low similarity (7.8%) to scientific vocabulary
Keywords
attpc
cnn
deep-learning
machine-learning
track-classification
Last synced: 9 months ago
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Machine learning methods for classifying events from the AT-TPC.
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attpc
cnn
deep-learning
machine-learning
track-classification
Created over 7 years ago
· Last pushed almost 6 years ago
https://github.com/ATTPC/event-classification/blob/master/
[1]: https://arxiv.org/abs/1810.10350 [2]: https://github.com/ATTPC/pytpc # Machine Learning Methods for AT-TPC Event Classification This repository contains research code that explores the use of machine learning methods to classify AT-TPC events based on the product of the reaction. This work was done using data from Argon 46 experiments. See [Machine Learning Methods for Track Classification in the AT-TPC][1]. ## Prerequisites * `pytpc` (found [here][2]) * `click` * `pandas` * `numpy` * `tensorflow<2` * `matplotlib` * `h5py` * `pyyaml` * `scipy` * `scikit-learn` ## Usage The following shows how to run the CNN training script. You can pass the `--help` flag to see all available options in the command-line interface. ``` python cnn/train.py ``` You should make sure that the repository's root directory has been added to the Python path in order to properly run the scripts.
Owner
- Name: AT-TPC Group
- Login: ATTPC
- Kind: organization
- Repositories: 9
- Profile: https://github.com/ATTPC