Data-driven Modeling of Telluric Features and Stellar Variability with StellarSpectraObservationFitting.jl
StellarSpectraObservationFitting.jl (SSOF) is a Julia package that measures Doppler shifts and creates data-driven models for time-variable spectral features, including both telluric absorption and stellar variability, while accounting for the wavelength-dependent instrumental line spread function. It employs fast, physically motivated Gaussian Process regularization and demonstrates state-of-the-art performance on NEID spectrometer data, achieving 2–6× smaller photon-limited errors compared to the NEID CCF-based pipeline and matching the performance of the SERVAL template-based pipeline usin…
StellarSpectraObservationFitting.jl (SSOF) is a Julia package that measures Doppler shifts and creates data-driven models for time-variable spectral features, including both telluric absorption and stellar variability, while accounting for the wavelength-dependent instrumental line spread function. It employs fast, physically motivated Gaussian Process regularization and demonstrates state-of-the-art performance on NEID spectrometer data, achieving 2–6× smaller photon-limited errors compared to the NEID CCF-based pipeline and matching the performance of the SERVAL template-based pipeline usin…
It showcases advanced data-driven modeling techniques that align with Swiss AI’s emphasis on high-precision scientific computing and machine learning applications in astronomy.
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