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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2026 3verdicts
UNVERDICTED 3representative citing papers
The Via Project is a planned five-year dual-hemisphere spectroscopic survey targeting over 2 million stars with 100 m/s RV stability and transient spectroscopy to r~24 using instruments on MMT and Magellan/Clay telescopes starting in 2027.
Updated RM modeling framework in TLCM validated on nine systems and applied to TOI-135 to measure sky-projected obliquity λ = 55.6° with ~11° uncertainties.
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 Via Project: Overview of the Science, Instrument, and Survey
The Via Project is a planned five-year dual-hemisphere spectroscopic survey targeting over 2 million stars with 100 m/s RV stability and transient spectroscopy to r~24 using instruments on MMT and Magellan/Clay telescopes starting in 2027.
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A comprehensive Rossiter-Mclaughlin Modelling Framework in TLCM: Application to HD 2685 $=$ TOI-135 system
Updated RM modeling framework in TLCM validated on nine systems and applied to TOI-135 to measure sky-projected obliquity λ = 55.6° with ~11° uncertainties.