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Application of ML to get 3D shapes of galaxies from data from 2D images.

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This repo hosts code for exploring the connection between 3D shapes and 2D projections of galaxies. The main code is in d3g2d while the runscripts folder contains the scripts to use the code in d3g2d to download data, get 3D shapes, and run classification/regression analysis.

This work has initiated as a part of the Kavli Summer Program In Astrophysics 2019. The code to get shapes is based on Hongyu Li's code; some of its outputs are included in his paper.


To set up the code in development mode, clone the repo, cd into the cloned folder, and run

pip install --user -e .

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Application of ML to get 3D shapes of galaxies from data from 2D images.

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