Automated Classification of Galaxy Morphologies

Details Automated Classification of Galaxy Morphologies Automated Classification of Galaxy Morphologies

Oct 2003

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003aps..tsf.b3005d&link_type=abstract

American Physical Society, Texas Section Fall, October 23-25, 2003, Texas Tech Campus, Lubbock Texas, MEETING ID: TSF03, abstrac

Astronomy and Astrophysics

Astrophysics

Scientific paper

Using morphology classifications for galaxies provides a direct approach to view galaxy populations back to an early stage in their lifetime, and hence to study many astrophysical problems such as large-scale structure, galaxy formation and evolution. In the past, most of morphology classification was done visually. In recent years the vast amount of data produced by large surveys (such as SDSS, NED and 2MASS) has made visual inspection a daunting task. One potential solution to this problem is to automate galaxy classification using a neural network trained to distinguish patterns and relationships using various photometric indexes. We will present preliminary galaxy classification results using this method.

Affiliated with

Also associated with

No associations

Rating

Automated Classification of Galaxy Morphologies 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 Automated Classification of Galaxy Morphologies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Automated Classification of Galaxy Morphologies will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-914931