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[ascl:2104.014] SSSpaNG: Stellar Spectra as Sparse Non-Gaussian Processes

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.

Code site:
https://github.com/sfeeney/ddspectra
Described in:
https://ui.adsabs.harvard.edu/abs/2021MNRAS.501.3258F
Bibcode:
2021ascl.soft04014F

Views: 195

ascl:2104.014
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