Deep neural networks using temperature-based spectral representations recover planetary Doppler signals with amplitudes of at least 25 cm/s from HARPS-N solar spectra under cross-validation.
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New instrument suite for ultra-high resolution solar spectroscopy with laser frequency comb calibration enabling precise Sun-as-a-star and spatially resolved line studies.
citing papers explorer
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Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
Deep neural networks using temperature-based spectral representations recover planetary Doppler signals with amplitudes of at least 25 cm/s from HARPS-N solar spectra under cross-validation.
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Observing the integrated and spatially resolved Sun with ultra-high spectral resolution
New instrument suite for ultra-high resolution solar spectroscopy with laser frequency comb calibration enabling precise Sun-as-a-star and spatially resolved line studies.