ASCL Code Record
[ascl:2411.004]
DarkRayNet: Simulation tool for indirect Dark Matter searches
DarkRayNet uses recurrent neural networks (RNNs) to quickly simulate antiprotons, antideuterons, protons and Helium cosmic ray (CR) spectra at Earth for an extensive range of parameters. The corresponding neural networks are trained on GALPROP (ascl:1010.028) simulations. DarkRayNet can also simulate the cosmic ray fluxes for antideuterons; the spectra can be predicted for a signal from dark matter annihilation DM Antideuterons and for secondary emission Secondary Antideuterons.
- Code site:
- https://github.com/kathrinnp/DarkRayNet
- Used in:
- https://ui.adsabs.harvard.edu/abs/2023JCAP...08..052B
- Described in:
- https://ui.adsabs.harvard.edu/abs/2024JCAP...11..017H
- Bibcode:
- 2024ascl.soft11004H
Preferred citation method:
Please see citation information here: https://github.com/kathrinnp/DarkRayNet#v2-updates
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