Paper:	Project EFIGI: Automatic Classification of Galaxies
Volume:	351, Astronomical Data Analysis Software and Systems XV
Page:	236
Authors:	Baillard, A.; Bertin, E.; Mellier, Y.; McCracken, H.J.; Geraud, T.; Pello, R.; LeBorgne, J.-F.; Fouque, P.
Abstract:	We propose an automatic system to classify images of galaxies with varying resolution. Morphologically typing galaxies is a difficult task in particular for distant galaxies convolved by a point-spread function and suffering from a poor signal-to-noise ratio. In the context of the first phase of the project EFIGI (extraction of the idealized shapes of galaxies in imagery), we present the three steps of our software: cleaning, dimensionality reduction and supervised learning. We present preliminary results derived from a subset of 774 galaxies from the Principal Galaxies Catalog and compare them to human classifications made by astronomers. We use g-band images from the Sloan Digital Sky Survey. Finally, we discuss future improvements which we intend to implement before releasing our tool to the community.

Astronomical Society of the Pacific
Conference Series

© Copyright 1988 - 2024 - Astronomical Society of the Pacific
No part of the material protected by this copyright may be reproduced or used in any form other than for personal use without written permission from the ASP.

Page generated in 0.072 seconds