ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2202.004] SUPPNet: Spectrum normalization neural network

SUPPNet performs fully automated precise continuum normalization of merged echelle spectra and offers flexible manual fine-tuning, if necessary. The code uses a fully convolutional deep neural network (SUPP Network) trained to predict a pseudo-continuum. The post-processing step uses smoothing splines that give access to regressed knots, which are useful for optional manual corrections. The active learning technique controls possible biases that may arise from training with synthetic spectra and extends the applicability of the method to features absent in this kind of spectra.

Code site:
https://github.com/RozanskiT/suppnet https://rozanskit.com/suppnet/
Described in:
https://ui.adsabs.harvard.edu/abs/2022A%26A...659A.199R
Bibcode:
2022ascl.soft02004R

Views: 1966

ascl:2202.004
Add this shield to your page
Copy the above HTML to add this shield to your code's website.