An artificial neural network approach to classification of galaxy spectra

Monthly Notices of the Royal Astronomical Society

Volumn 283, Issue 2, 1996, Pages 651-665

  Folkes, S R ^a   Lahav, O ^a   Maddox, S J ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b ROYAL GREENWICH OBSERVATORY   (United Kingdom)

Author keywords

Cosmology:miscellaneous; Galaxies: classification; Methods: data analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; QUALITY CONTROL; SIGNAL TO NOISE RATIO; SURVEYS;

ARTIFICIAL NEURAL NETWORK APPROACH; AUTOMATED CLASSIFICATION; COSMOLOGY: MISCELLANEOUS; GALAXIES: RED-SHIFT; GALAXY: CLASSIFICATION; METHODS. DATA ANALYSIS; NOISE SPECTRUM; PRINCIPAL COMPONENTS; SIGNAL TO NOISE; SPECTRA'S;

GALAXIES;

EID: 84974824176     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1093/mnras/283.2.651     Document Type: Article

References (27)

1. Bruzual G., Charlot, S., 1995, Galaxy Isochrone Synthesis Spectral Evolution Library (GISSEL95)
2. Connolly A.J., Szalay A.S., Bershady M.A., Kinney A.L., Calzetti D., 1995, AJ, 110, 1071
3. de Vaucouleurs G., 1959, in: Flügge, S. (ed.): Handbuch der Physik 53, 275, Berlin: Springer-Verlag de Vaucouleurs G., 1963, ApJS, 8, 31
4. Francis P.J., Hewett P.C., Foltz C.B., Chaffee F.H., 1992, ApJ, 398, 476
5. Hertz J., Krogh A., Palmer R.G., 1991, Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood city, California
6. Hubble E., 1936, The Realm of Nebulae, Yale University Press, New Haven
7. Humason M.L., 1936, ApJ, 83, 18
8. Kennicutt R.C., 1992, ApJS, 79, 255
9. Lahav O. et al., 1995, Science 267, 859
10. Lahav O., Naim A., Sodré L., Jr, Storrie-Lombardi M.C., 1996, MNRAS, submitted
11. Lauberts A., Valentijn E.A., 1989, The Surface Photometry Catalogue of the ESO-Uppsala Galaxies, ESO
12. MacKay D.J.C., 1992, PhD thesis, Caltech
13. Maddox S.J., Efstathiou G., Sutherland W.J., Loveday J., 1990, MNRAS, 243, 692
14. Morgan W.W., Mayal N.U., 1957, PASP, 69, 291
15. Murtagh F., Heck A., 1987, Multivariate Data Analysis, Reidel, Dordrecht
16. Naim A., Lahav O., Sodré L., Jr, Storrie-Lombardi M.C., 1995, MNRAS, 275, 567
17. Press W.H., Teukolsky S.A., Vetterling W.T., Flannery B.P., 1992, Numerical Recipes, 2nd edition, Cambridge University Press, Cambridge
18. Ripley B.D., 1993, Statistics and Images, ed. K.V. Mardia, Abingdon, Carfax
19. Rumelhart D.E., Hinton G.E., Williams R.J., 1986, Nature, 323533
20. Smyth R.J., 1982, Observatory, 102, 225
21. Sodré L. Jr., Cuevas H., 1994, Vistas in Astronomy, 38, 287
22. Sodré L. Jr., Cuevas H., 1996, MNRAS, submitted
23. Storrie-Lombardi M.C., Lahav O., Sodré L. Jr., Storrie-Lombardi L.J., 1992, MNRAS, 259, 8p
24. Storrie-Lombardi M.C., Irwin M.J., von Hippel T., Storrie-Lombardi L.J., 1994, Vistas in Astronomy, 38, 331
25. Taylor K. 1994, in Maddox S.J., Aragon-Salamanca A., eds, Proc. of the 35th Herstmonceaux Conference, Wide field spectroscopy and the distant universe.World Scientific publishing, p.15
26. von Hippel T., Storrie-Lombardi L.J., Storrie-Lombardi M.C., Irwin M., 1994, MNRAS, 269, 97
27. Zaritsky D., Zabludoff A.I., Willick J.A., 1995, AJ, 110, 1602