Scientists have discovered over 6,000 planets that orbit stars other than our Sun, known as exoplanets. More than half of these planets were discovered thanks to data from NASA’s retired […]
ExoMiner
Posted inAI - Data - Apps - Cybernetics, Citizen Science / Open Science, Education and Outreach, Exoplanets, -moons, -comets, Status Report
DART-Vetter: A Deep LeARning Tool For Automatic Triage Of Exoplanet Candidates
In the identification of new planetary candidates in transit surveys, the employment of Deep Learning models proved to be essential to efficiently analyse a continuously growing volume of photometric observations.
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
ExoMiner++ on TESS with Transfer Learning from Kepler: Transit Classification and Vetting Catalog for 2-min Data
We present ExoMiner++, an enhanced deep learning model that builds on the success of ExoMiner to improve transit signal classification in 2-minute TESS data. ExoMiner++ incorporates additional diagnostic inputs, including […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Press Release
Discovery of 69 New Exoplanets Using Machine Learning
In a groundbreaking achievement, a team of machine learning scientists and astronomers from Universities Space Research Association (USRA), the SETI Institute, and NASA discovered 69 new exoplanets using advanced machine […]
Posted inAI - Data - Apps - Cybernetics, Astronomy & Telescopes, Exoplanets, -moons, -comets, Imaging & Spectroscopy, Status Report
Multiplicity Boost Of Transit Signal Classifiers: Validation of 69 New Exoplanets Using The Multiplicity Boost of ExoMiner
Most existing exoplanets are discovered using validation techniques rather than being confirmed by complementary observations.