Published May 8, 2024
| Version v1
Dataset
Open
Simulations dataset and pre-trained models of "Deep learning in real-time on the astrophysical data obtained from the Čerenkov CTA Observatory" Ph.D. project
Authors/Creators
Description
Ph.D. project datasets and models release,
Deep learning in real-time on the astrophysical data obtained from the Čerenkov CTA Observatory.
Files
crta_models_v1.zip
Files
(19.8 GB)
| Name | Size | Download all |
|---|---|---|
|
md5:dc2515cfdc3389404e624350d4bdbc89
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5.7 GB | Preview Download |
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md5:2f0a13d881042109dbfe5d2ad9a56510
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14.1 GB | Preview Download |
Additional details
Related works
- Is compiled by
- Software: 10.5281/zenodo.11127299 (DOI)
Software
- Repository URL
- https://github.com/ambra-dipiano/astroAI
- Programming language
- Python
- Development Status
- Active
References
- Di Piano, A. et al., A machine learning toolkit for high-level analysis of Cherenkov telescopes data, 2nd CTAO Science Symposium, 15-18 April, 2024, poster ID008, http://posters.cta-observatory.org/
- Jürgen Knödlseder, Luigi Tibaldo, Domenico Tiziani, Josh Cardenzana, Michael Mayer, Nathan Kelley-Hoskins, Leonardo Di Venere, Alexander Ziegler, Stefan Eschbach, Pierrick Martin, Thierry Louge, François Brun, Rolf Bühler, Jean-Baptiste Cayrou, Christoph Deil, Axel Donath, Florent Forest, Lucie Gerard, Tarek Hassan, … Hubert Siejkowski. (2021). GammaLib 1.7.4 (1.7.4). Zenodo. https://doi.org/10.5281/zenodo.4727871
- Jürgen Knödlseder, Luigi Tibaldo, Domenico Tiziani, Andreas Specovius, Joshua Cardenzana, Michael Mayer, Nathan Kelley-Hoskins, Leonardo Di Venere, Simon Bonnefoy, Alexander Ziegler, Pierrick Martin, Maria Haupt, Rolf Bühler, Johan Bregeon, Jean-Baptiste Cayrou, Christoph Deil, Florent Forest, Lucie Gerard, Chia-Chun Lu, … Hubert Siejkowski. (2021). ctools 1.7.4 (1.7.4). Zenodo. https://doi.org/10.5281/zenodo.4727876
- Cherenkov Telescope Array Observatory, & Cherenkov Telescope Array Consortium. (2021). CTAO Instrument Response Functions - prod5 version v0.1 (v0.1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5499840