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AsteriaStar
Astronomical application

Galaxy Morphology Classification

Sorting galaxies by their shape — spiral, elliptical, irregular, merging — from survey images. One of the earliest large-scale meetings of astronomy and machine learning, building on the labels gathered by citizen-science projects like Galaxy Zoo to train automatic classifiers for surveys too large to inspect by eye.

Highlights

  • Classifying galaxies at survey scale

Used across astro-ML

Knowledge connections

Sources

The primary and reference sources this topic draws on.

  • NASANational Aeronautics and Space Administration

    Mission data, planetary science, space telescopes, and public-domain imagery.

    Most NASA-produced imagery is in the public domain; individual items are checked for usage terms before publication.