Published June 22, 2023
| Version 1.0
Software
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psnet: v1.0
Authors/Creators
- 1. University of Groningen
Description
PSNet is the first application of pattern spectra on convolutional neural networks (CNNs) for the event reconstruction of imaging atmospheric Cherenkov telescopes (IACTs). We train a CNN on pattern spectra of gamma-ray events from the Cherenkov Telescope Array (CTA) for energy reconstruction and signal-background separation. PSNet is based on Tensorflow 2.3.1 and Keras 2.4.3 and uses the ctapipe software for the data handling. This project is part of my PhD at the University of Groningen.
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Additional details
Related works
- Is supplemented by
- https://github.com/jaschers/psnet (URL)
References
- J. Aschersleben et al. (2021). arxiv.org/abs/2108.00834
- J. Aschersleben et al. (2023). arxiv.org/abs/2302.11876