Neural networks on galaxy pattern recognition

Contreras Arriagada, Ricardo; Salazar, Gabriel; Pinninghoff Junemann, M. Angélica; Nagar, Neil

Keywords: neural networks, Galaxy classification, Galaxy Zoo Project

Abstract

Learning machine techniques have proved to be useful in classification. In this work we use neural networks for the morphological classification of galaxies. We consider several parameters, e.g. colour, brightness, and classify them into three general categories: spiral, elliptical and unknown. Our results show the capability of neural networks for reproducing the human task - up to a certain extent - of classifying astronomical objects.

Más información

Fecha de publicación: 2017
Año de Inicio/Término: 11-13 July
Página final: 6