Robust machine learning applied to astronomical data sets. I. Star-galaxy classification of the sloan digital sky survey DR3 using decision trees

Astrophysical Journal

Volumn 650, Issue 1 I, 2006, Pages 497-509

  Ball, Nicholas M ^a   Brunner, Robert J ^a   Myers, Adam D ^a   Tcheng, David ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Astronomical data bases: miscellaneous; Catalogs; Methods: data analysis; Surveys

Indexed keywords

EID: 34248212193     PISSN: 0004637X     EISSN: 15384357     Source Type: Journal    
DOI: 10.1086/507440     Document Type: Article

References (40)

1. Abazajian, K., et al. 2004, AJ, 128, 502
2. _. 2005, AJ, 129, 1755
3. Ball, N. M., Loveday, J., Fukugita, M., Nakamura, O., Okamura, S., Brinkmann, J., & Brunner, R. J. 2004, MNRAS, 348, 1038
4. Bazell, D. 2000, MNRAS, 316, 519
5. Bazell, D., & Aha, D. W. 2001, ApJ, 548, 219
6. Bazell, D., & Miller, D. J. 2005, ApJ, 618, 723
7. Becker, R. H., White, R. L., & Helfend, D. J. 1995, ApJ, 450, 559
8. Blanton, M. R., Lin, H., Lupton, R. H., Maley, F. M., Young, N., Zehavi, I., & Loveday, J. 2003, AJ, 125, 2276
9. Breiman, L., Friedman, J., Olshen, R., & Stone, C. 1984, Classification and Regression Trees (Belmont: Wadsworth)
10. Colless, M., et al. 2003, preprint (astro-ph/0306581)
11. Croom, S. M., Smith, R. J., Boyle, B. J., Shanks, T., Miller, L., Outram, P. J., & Loaring, N. S. 2004, MNRAS, 349, 1397
12. Djorgovski, S. G., Carvalho, R. R., Gal, R. R., Odewahn, S. C., Mahabal, A. A., Brunner, R., Lopes, P. A. A., & Kohl Moreira, J. L. 2003, Bull. Astron. Soc. Brazil, 23, 197
13. Eisenstein, D. J., et al. 2001, AJ, 122, 2267
14. Hastie, T., Tibshirani, R., & Friedman, J. 2001, The Elements of Statistical Learning (New York: Springer)
15. Lauberts, A., & Valentijn, E. A. 1989, The Surface Photometry Catalogue of the ESO-Uppsala Galaxies (Garching: ESO)
16. Levy, S. 2003, in IAU Symp. 208, Astrophysical Supercomputing Using Particles, ed. J. Makino & P. Hut (San Francisco: ASP), 343
17. Lonsdale, C. J., et al. 2003, PASP, 115, 897
18. Lupton, R. H., et al. 2002, Proc. SPIE, 4836, 350
19. Martin, D. C., et al. 2005, ApJ, 619, L1
20. McMahon, R. G., & Irwin, M. J. 1992, in Digitised Optical Sky Surveys, ed. H. T. MacGillivray & E. B. Thomson (Dordrecht: Kluwer), 417
21. Murthy, S. K., Kasif, S., & Salzberg, S. 1994, J. Artificial Intelligence Res., 2, 1
22. Myers, A. D., et al. 2006, ApJ, 638, 622
23. Odewahn, S. C., et al. 2004, AJ, 128, 3092
24. Owens, E. A., Griffiths, R. E., & Rataatunga, K. U. 1996, MNRAS, 281, 153
25. Quinlan, J. R. 1986, Machine Learning, 1, 81
26. Richards, G. T., et al. 2002, AJ, 123, 2945
27. Salzberg, S., Chandar, R., Ford, H., Murthy, S. K., & White, R. 1995, PASP, 107, 279
28. Schlegel, D. J., Finkbeiner, D. P., & Davis, M. 1998, ApJ, 500, 525
29. Scranton, R., et al. 2002, ApJ, 579, 48
30. Skrutskie, M. F., et al. 2006, AJ, 131, 1163
31. Storrie-Lombardi, M. C., Lahav, O., Sodré, L., & Storrie-Lombardi, L. J. 1992, MNRAS, 259, 8P
32. Stoughton, C., et al. 2002, AJ, 123, 485
33. Strauss, M. A., et al. 2002, AJ, 124, 1810
34. Suchkov, A. A., Hanisch, R. J., & Margon, B. 2005, AJ, 130, 2439
35. Voges, W., et al. 1999, A&A, 349, 389
36. Weir, N., Fayyad, U. M., & Djorgovski, S. 1995, AJ, 109, 2401
37. Welge, M., Hsu, W. H., Auvil, L. S., Redman, T. M., & Tcheng, D. 1999, in 12th National Conference on High Performance Networking and Computing (SC99)
38. White, R. L., et al. 2000, ApJS, 126, 133
39. Witten, I. H., & Frank, E. 2000, Data Mining (San Francisco: Morgan Kaufmann)
40. York, D. G., et al. 2000, AJ, 120, 1579