Deep Neural Network Archives

Exoplanet detection limits from the neural network framework in the case of HARPS-N solar spectra. Left: Detection limit map in the period-amplitude domain. The red dots indicate the successful detection by the trained NN with a false alarm probability (FAP) > 0.1%. Middle: Amplitude comparison between the injected and recovered signals in the period-amplitude domain. The amplitude difference for most of the recovered signals are < 20%. The large difference at low amplitude (0.1 m/s) is likely due to noise in the data. Right: Phase comparison between the injected and recovered signals in the period-amplitude domain. The phase difference for most of the recovered planets is < 0.04. The large differences at long periods is likely due to a poorer sampling of the phase for long-period planetary signals.--astro-ph.EP

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Machine Learning As A Transformative Tool for (Exo-)Planetary Science

by Keith CowingApril 13, 2026April 13, 2026

The exploration of planetary bodies in our Solar system and beyond relies on the processing and interpretation of large, spatio-temporally inconsistent, and heterogeneous datasets.

Deep Neural Network

Machine Learning As A Transformative Tool for (Exo-)Planetary Science

The Early Career Astrobiology Workforce Under Strain Survey Evidence From 2025-2026

The Sulfate Content Of Europa’s Subsurface Ocean and Icy Shell

Subsurface Sediment Mobilization On Mars

Ancient Marine Life May Be Hiding In Antarctica’s Blood Falls

Size Constraints For The Pre-atmospheric Parent Bodies Of Ordinary Chondrites