SSSpaNG: Stellar Spectra as Sparse Non-Gaussian Processes

Discussion topics for individual codes
Post Reply
Ada Coda
ASCL Robot
Posts: 1948
Joined: Thu May 08, 2014 5:37 am

SSSpaNG: Stellar Spectra as Sparse Non-Gaussian Processes

Post by Ada Coda » Thu Apr 29, 2021 3:19 pm

SSSpaNG: Stellar Spectra as Sparse Non-Gaussian Processes

Abstract: SSSpaNG is a data-driven Gaussian Process model of the spectra of APOGEE red clump stars, whose parameters are inferred using Gibbs sampling. By pooling information between stars to infer their covariance it permits clear identification of the correlations between spectral pixels. Harnessing this correlation structure, a complete spectrum for each red clump star can be inferred, inpainting missing regions and de-noising by a factor of at least 2-3 for low-signal-to-noise stars.

Credit: Feeney, Stephen M.; Wandelt, Benjamin D.; Ness, Melissa K.

Site: https://github.com/sfeeney/ddspectra
https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.3258F

Bibcode: 2021ascl.soft04014F

ID: ascl:2104.014

Post Reply