There is a newer version of the record available.

Published March 13, 2025 | Version 0.10.0
Software Open

CTLearn: Deep learning for imaging atmospheric Cherenkov telescopes event reconstruction

Creators

  • 1. Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain
  • 2. University of California Los Angeles, Division of Astronomy and Astrophysics, Los Angeles, CA, USA
  • 3. Barnard College, Columbia University, New York, NY, USA

Contributors

  • 1. Instituto de Física de Partículas y del Cosmos, Departamento de EMFTEL, Universidad Complutense de Madrid, Madrid, Spain
  • 2. 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-v0.10.0.zip

Files (1.1 MB)

Name Size Download all
md5:ce18c77bc038b34826bea7df97ceeeb0
1.1 MB Preview Download

Additional details

Related works

Is derived from
Software: https://github.com/ctlearn-project/ctlearn (URL)

Funding

European Commission
ESCAPE – European Science Cluster of Astronomy & Particle physics ESFRI research infrastructures 824064

Software

Repository URL
https://github.com/ctlearn-project/ctlearn