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CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction
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.
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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.
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Contributors
AB
Ari Brill
author
0000-0002-6208-5244BK
Bryan Kim
author
University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA
QF
Qi Feng
ACC
Alexander Cerviño Cortínez
contributor
Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain
0009-0007-1566-9507JS
Jaime Sevilla
contributor
Facultad de Ingeniería Informática, Universidad Complutense de Madrid, Madrid, Spain
0000-0002-4454-1146DN
Daniel Nieto
maintainer
Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain
0000-0003-3343-0755TM
Tjark Miener
maintainer
Département de Physique Nucléaire et Corpusculaire, Univertité de Genève, Genève, Switzerland
0000-0003-1821-7964Member of community
