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Using Deep Learning tools in Galaxy Morphology as part of Inter-University Center for Astronomy and Astrophysics (IUCAA)

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Deep Learning in Galaxy Morphology

Classification of galaxies and identification of features methodically performed using Convolutional Neural Net. Under the Guidance of Dr. Ajit Kembhavi, former Director, Inter-University Center for Astronomy and Astrophysics (IUCAA) and Dr Sheelu Abraham (IUCAA) (2017 December)

Getting Started

The code is written in Python and implements libraries such as Keras, Matplotlib, Numpy,

Prerequisites

Installation of Keras.

 pip install keras

Running the tests

CNN folder is used for classifying galaxies into Elliptical and Spiral galaxies.

CNNBar folder is used for classifying spiral galaxies into Barred and Unbarred galaxies.

Built With

python keras tensorflow

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Using Deep Learning tools in Galaxy Morphology as part of Inter-University Center for Astronomy and Astrophysics (IUCAA)

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