Galaxy Classification by Human Eyes and by Artificial Neural Networks
| dc.creator | Lahav, Ofer | |
| dc.date | 1995-05-19 | |
| dc.date.accessioned | 2026-07-25T12:41:08Z | |
| dc.description | The rapid increase in data on galaxy images at low and high redshift calls for re-examination of the classification schemes and for new automatic objective methods. Here we present a classification method by Artificial Neural Networks. We also show results from a comparative study we carried out using a new sample of 830 APM digitised galaxy images. These galaxy images were classified by 6 experts independently. It is shown that the ANNs can replicate the classification by a human expert almost to the same degree of agreement as that between two human experts, to within 2 $T$-type units. Similar methods can be applied to automatic classification of galaxy spectra. We illustrate it by Principal Component Analysis of galaxy spectra, and discuss future large surveys. | |
| dc.description | review talk in "The World of Galaxies II", Lyon 1994. 13 pages (including 3 figures). Compressed postscript file available by anonymous ftp from ftp://ftp.ast.cam.ac.uk/pub/lahav/lyon/lyon6.ps.Z | |
| dc.identifier | https://arxiv.org/abs/astro-ph/9505091 | |
| dc.identifier | http://arxiv.org/abs/astro-ph/9505091 | |
| dc.identifier.uri | https://dspace.dare.co.zw/handle/123456789/11144 | |
| dc.subject | Astrophysics | |
| dc.title | Galaxy Classification by Human Eyes and by Artificial Neural Networks | |
| dc.type | text |