Published July 22, 2019
| Version v0.4.0
Software
Open
CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
Authors/Creators
- 1. Columbia University, Department of Physics, New York, NY, USA
- 2. University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA
- 3. Instituto de Física de Partículas y del Cosmos and Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain
Contributors
Researcher:
- 1. Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain
Description
CTLearn is a high-level Python package providing a backend for training deep learning models for the reconstruction of imaging atmospheric Cherenkov telescope events using TensorFlow.
Files
ctlearn-project/ctlearn-v0.4.0.zip
Files
(517.0 kB)
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md5:987c310ec957f2232eb8ef3abbbdb7f0
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Additional details
Related works
- Is supplement to
- https://github.com/ctlearn-project/ctlearn/tree/v0.4.0 (URL)