News
Experimental Astrochemistry And Machine Learning Unravel The Formation Of Oxygen-bearing Organic Molecules In Extraterrestrial Ices
5+ hour, 6+ min ago (92+ words) Astrobiology Web [Nature Communications Chemistry] Oxygen-bearing organic molecules, including aldehydes, alcohols, and peroxides, serve as key precursors to complex organics in extraterrestrial environments. Their non-equilibrium formation mechanisms critically constrain the molecular complexity available for prebiotic chemistry. Here we introduce a…...
Machine Learning And Deep Learning For Exoplanet Detection And Atmospheric Characterization With JWST And The Upcoming Ariel Mission
2+ week, 6+ day ago (290+ words) astrobiology.com Machine Learning And Deep Learning For Exoplanet Detection And Atmospheric Characterization With JWST And The Upcoming Ariel Mission The detection and atmospheric characterization of exoplanets have entered a new data-intensive era driven by the James Webb Space Telescope…...
A Cloud-Based Tool For Meteorite Recovery Using Drones And Machine Learning
1+ mon, 3+ week ago (194+ words) astrobiology.com A Cloud-Based Tool For Meteorite Recovery Using Drones And Machine Learning We present a cloud-based tool that uses drones and machine learning to help recover instrumentally observed meteorite falls. We showcase a collection of improvements made upon previous…...
Towards Model-free Stellar Chemical Abundances. Potential Applications In The Search For Chemically Peculiar Stars In Large Spectroscopic Surveys
5+ mon, 3+ week ago (290+ words) astrobiology.com Towards Model-free Stellar Chemical Abundances. Potential Applications In The Search For Chemically Peculiar Stars In Large Spectroscopic Surveys Chemical abundance determinations from stellar spectra are challenged by observational noise, limitations in stellar models, and departures from simplifying assumptions....