alexhock / galaxymorphology

An automatic taxonomy of galaxy morphology using unsupervised machine learning

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Galaxy Morphology

Code for the website www.galaxyml.uk and for the related MNRAS paper: Hocking, A et al. "An automatic taxonomy of galaxy morphology using unsupervised machine learning" MNRAS (2018)

The catalogue of CANDELS that was created by the technique and described in the paper can be found here: catalogue

This repository also contains source code for multi-threaded versions of several machine learning algorithms.

The C# code analyses FITS survey images.

The website is a Java Spring Boot web app with REST api for galaxy similarity search. The website uses an in-memory cache of the galaxy catalogue for performance.

The C# source code can be compiled with Visual Studio 2015.

For the Java site & REST api I use IntelliJ.

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An automatic taxonomy of galaxy morphology using unsupervised machine learning


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