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[ascl:2410.017] SSOF: Data-driven models for extremely precise radial velocity (EPRV) spectra

StellarSpectraObservationFitting (SSOF) measures radial velocities and creates data-driven models (with fast, physically-motivated Gaussian Process regularization) for the time-variable spectral features for both the telluric transmission and stellar spectrum measured by Extremely Precise Radial Velocity (EPRV) spectrographs (while accounting for the wavelength-dependent instrumental line-spread function). Written in Julia, SSOF provides two methods for estimating the uncertainties on the RVs and model scores based on the photon uncertainties in the original data. For quick estimates of the uncertainties, the code looks at the local curvature of the likelihood space; the second method for estimating errors is via bootstrap resampling.

Code site:
https://github.com/christiangil/StellarSpectraObservationFitting.jl
Described in:
https://ui.adsabs.harvard.edu/abs/2024arXiv240817289G
Bibcode:
2024ascl.soft10017G

Views: 93

ascl:2410.017
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