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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3 Pith papers cite this work. Polarity classification is still indexing.
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Interpolation algorithm choice in template-based RV extraction from high-resolution spectra introduces systematic biases reaching 20-25 m/s in low-SNR cases and under 0.2 m/s when BERV variation is large, demonstrated via Gaussian synthetic spectra and ESPRESSO observations.
Multi-method spectroscopic analysis of 585 FGK dwarfs shows parameter scatters larger than internal errors, inducing sub-5% fractional uncertainties on derived exoplanet radius and mass.
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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The impact of interpolation in high-resolution spectroscopy -- The overlooked role of interpolation in radial velocity extraction
Interpolation algorithm choice in template-based RV extraction from high-resolution spectra introduces systematic biases reaching 20-25 m/s in low-SNR cases and under 0.2 m/s when BERV variation is large, demonstrated via Gaussian synthetic spectra and ESPRESSO observations.
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gr8stars II : judgement day for spectroscopic parameter model systematics
Multi-method spectroscopic analysis of 585 FGK dwarfs shows parameter scatters larger than internal errors, inducing sub-5% fractional uncertainties on derived exoplanet radius and mass.