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[ascl:2503.007] AESTRA: Radial velocity measurements in the presence of stellar activity noise

AESTRA (Auto-Encoding STellar Radial-velocity and Activity) uses deep learning for precise radial velocity measurements in the presence of stellar activity noise. The architecture combines a convolutional radial-velocity estimator and a spectrum auto-encoder. The input consists of a collection of hundreds or more of spectra of a single star, which span a variety of activity states and orbital motion phases of any potential planets. AESTRA does not require any prior knowledge about the star.

Code site:
https://github.com/yanliang-astro/aestra
Described in:
https://ui.adsabs.harvard.edu/abs/2024AJ....167...23L
Bibcode:
2025ascl.soft03007L

Views: 10

ascl:2503.007
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