Significance Teasing out biochemical information from ancient organic-rich sediments, notably the timing of the emergence of photosynthesis relative to the inferred oxygenation of Earth’s atmosphere, remains a challenging opportunity. To […]
Machine learing
Posted inAI - Data - Apps - Cybernetics, Astrobiology (general), NASA Astrobiology Program, Reports, Roadmaps, & Plans, Status Report
The Opportunities From Machine Learning Applications in Astrobiology – NASA-DARES 2025
Caleb Scharf, NASA Ames Research Center The search for life represents a unique data challenge within modern science. Machine learning, as it is now and may be in the future, […]
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astrogeology, Astronomy & Telescopes, Atmospheres, Climate, Weather, Biochemistry & Organic Chemistry, Biosignatures & Paleobiology, Habitable Zones, Imaging & Spectroscopy, Status Report, TRAPPIST-1
Machine-assisted Classification Of Potential Biosignatures In Earth-like Exoplanets Using Low Signal-to-noise Ratio Transmission Spectra
The search for atmospheric biosignatures in Earth-like exoplanets is one of the most pressing challenges in observational astrobiology. Detecting biogenic gases in terrestrial planets requires high resolution and long integration […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
NotPlaNET: Removing False Positives from Planet Hunters TESS with Machine Learning
Differentiating between real transit events and false positive signals in photometric time series data is a bottleneck in the identification of transiting exoplanets, particularly long-period planets.
Posted inAI - Data - Apps - Cybernetics, Astrochemistry, Astrogeology, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Machine Learning for Exoplanet Detection in High-Contrast Spectroscopy: Revealing Exoplanets by Leveraging Hidden Molecular Signatures in Cross-Correlated Spectra with Convolutional Neural Networks
The new generation of observatories and instruments (VLT/ERIS, JWST, ELT) motivate the development of robust methods to detect and characterise faint and close-in exoplanets. Molecular mapping and cross-correlation for spectroscopy […]