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[ascl:2212.026] Spender: Neural spectrum encoder and decoder

Spender establishes a restframe for galaxy spectra that has higher resolution and larger wavelength range than the spectra from which it is trained. The model can be trained from spectra at different redshifts or even from different instruments without the need to standardize the observations. Spender also has an explicit, differentiable redshift dependence, which can be coupled with a redshift estimator for a fully data-driven spectrum analysis pipeline. The code describes the restframe spectrum by an autoencoder and transforms the restframe model to the observed redshift; it also matches the spectral resolution and line spread function of the instrument.

Code site:
https://github.com/pmelchior/spender
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv221107890M
Bibcode:
2022ascl.soft12026M

Views: 239

ascl:2212.026
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