AI tools for astronomy and astrophysics

ALeRCE

Chilean-led community broker for the Vera C. Rubin Observatory and LSST. It processes LSST and Zwicky Transient Facility alert streams in real time and classifies celestial events with machine learning.

AstroLens

Autonomous AI system for anomaly discovery in astronomical survey images. Vision transformers and out-of-distribution detection find unusual celestial objects without human pre-selection.

Astrometry.net (Nova)

Free web service that identifies any star photo automatically: pattern recognition matches the star arrangement against catalogues and returns sky coordinates plus the names of every object in the frame.

ExoMiner

NASA open-source tool for AI-assisted validation of exoplanet candidates. Deep learning checks Kepler and TESS light curves to decide whether a dimming event is really a planet.

Galaxy Zoo

Citizen-science project for classifying galaxy shapes. Millions of volunteers classify real research images; the Zoobot model combines human answers with Bayesian CNNs.

GraXpert

Free open-source tool from the German-speaking astrophotography community: neural networks remove sky gradients, denoise exposures and sharpen stars without any image-processing expertise.

Morpheus

Deep-learning framework for pixel-level morphological classification of astronomical sources. It detects galaxies, stars and nebulae via semantic segmentation.

RC-Astro XTerminator

The de facto standard in astrophotography: BlurXTerminator, NoiseXTerminator and StarXTerminator sharpen, denoise and separate stars from nebulosity, each with a purpose-trained neural network.

StarNet++

Free neural network that removes stars from astro images — the basis for processing nebulae and galaxies separately from the star field.