Artificial Neural Networks as a Tool for Galaxy Classification

Details Artificial Neural Networks as a Tool for Galaxy Classification Artificial Neural Networks as a Tool for Galaxy Classification

1996-12-10

arxiv.org/abs/astro-ph/9612096v1

Astronomy and Astrophysics

Astrophysics

Solicited talk in 'Data Analysis in Astronomy', Erice 1996, 9 pages, also available from ftp://cass41.ast.cam.ac.uk/pub/lahav/

Scientific paper

We describe an Artificial Neural Network (ANN) approach to classification of galaxy images and spectra. ANNs can replicate the classification of galaxy images by a human expert to the same degree of agreement as that between two human experts, to within 2 T-type units. Similar methods are applied to classification of galaxy spectra. In particular, Principal Component Analysis of galaxy spectra can be used to compress the data, to suppress noise and to provide input to the ANNs. These and other classification methods will soon be applied to the Anglo-Australian 2-degree-Field (2dF) redshift survey of 250,000 galaxies.

Affiliated with

Also associated with

No associations

Rating

Artificial Neural Networks as a Tool for Galaxy Classification does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Artificial Neural Networks as a Tool for Galaxy Classification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Artificial Neural Networks as a Tool for Galaxy Classification will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-343532