Deep Learning Applied to Astronomy.

Last updated on Aug 27, 2021
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Pinwheel Galaxy

This project investigates the usage of deep learning and machine learning methods to characterize and describe astronomical objects based on images and videos captured by astronomical surveys. This project aims to propose novel methods for data augmentation, recognition methods, and catalog methodologies, exploring supervised and semi-supervised learning methodologies.

Deep Learning Physics
Bruno A D Marques
Bruno A D Marques
Professor of Computer Science

Computer Graphics, Artificial Intelligence and Games.

Related

Publications

Machine and Deep Learning Applied to Galaxy Morphology - A Comparative Study
we investigate how to substantially improve the galaxy classification within large datasets by mimicking human classification. We combine accurate visual classifications from the Galaxy Zoo project with machine and deep learning methodologies. We propose two distinct approaches for galaxy morphology, one based on non-parametric morphology and traditional machine learning algorithms; and another based on Deep Learning.
Paulo Barchi, Reinaldo Carvalho, Reinaldo Rosa, Rubens Sautter, Michelle Santos, Bruno A D Marques, Esteban Clua, Camila Freitas, Tatiana Moura
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Machine and Deep Learning Applied to Galaxy Morphology - A Comparative Study