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Project description
netspec
netspec allows for the use of neural net emulators of astrophysical photon /
particle emission spectra to be trained and then fitted within 3ML to
astrophysical spectral data. It is built off pytorch and uses pytorch-lightning
as the training interface.
The network structure is adaptable and should be tuned to the need of the
simulation. Training data are derived from the outputs of
ronswanson and utilities are
provided which pre-process the simulation output into suitable spaces for
efficient training. Once trained, models can be loaded in as astromodels
spectral function as used as any other model for spectral analysis.
- Free software: GNU General Public License v3
- Documentation: https://netspec.readthedocs.io.
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