Machine-learning-based photometric redshifts for galaxies of the ESO Kilo-Degree Survey data release 2

Monthly Notices of the Royal Astronomical Society

Volumn 452, Issue 3, 2015, Pages 3100-3105

  Cavuoti, S ^a   Brescia, M ^a   Tortora, C ^a   Longo, G ^b   Napolitano, N R ^a   Radovich, M ^c   La Barbera, F ^a   Capaccioli, M ^a   de Jong, J T A ^d   Getman, F ^a   Grado, A ^a   Paolillo, M ^b  

^a INAF OSSERVATORIO ASTROFISICO DI TORINO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^c INAF OSSERVATORIO ASTRONOMICO DI PADOVA   (Italy)

^d LEIDEN UNIVERSITY   (Netherlands)

Author keywords

Galaxies: distances and redshifts; Galaxies: photometry; Techniques: photometric

Indexed keywords

DATA MINING; GALAXIES; KNOWLEDGE BASED SYSTEMS; LEARNING SYSTEMS; SURVEYS; TELESCOPES;

DATA RELEASE; EUROPEAN SOUTHERN OBSERVATORY; GALAXIES DISTANCES AND REDSHIFTS; GALAXIES: PHOTOMETRY; OPTICAL-; PHOTOMETRICS; RED SHIFT; SURVEY DATA; TECHNIQUES: PHOTOMETRIC; WIDE FIELD IMAGING;

PHOTOMETRY;

EID: 84943804447     PISSN: 00358711     EISSN: 13652966     Source Type: Journal    
DOI: 10.1093/mnras/stv1496     Document Type: Article

References (39)

1. Ahn C. P. et al., 2012, ApJS, 203, 21
2. Ahn C. P. et al., 2014, ApJS, 211, 17
3. Bertin E., Arnouts S., 1996, A & AS, 117, 393
4. Bolton A. S. et al., 2012, AJ, 144, 144
5. Bonfield D. G., Sun Y., Davey N., Jarvis M. J., Abdalla F. B., Banerji M., Adams R. G., 2010, MNRAS, 485, 987
6. Brescia M., Cavuoti S., Paolillo M., Longo G., Puzia T., 2012, MNRAS, 421, 1155
7. Brescia M., Cavuoti S., D'Abrusco R., Longo G., Mercurio A., 2013, ApJ, 772, 140
8. Brescia M. et al., 2014a, PASP, 126, 783
9. Brescia M., Cavuoti S., Longo G., De Stefano V., 2014b, A & A, 568, A126
10. Capaccioli M., Schpani P., 2011, The Messenger, 148, 2
11. Carliles S., Budavári T., Heinis S., Priebe C., Szalay A. S., 2010, ApJ, 712, 511
12. Cavuoti S., Brescia M., Longo G., Mercurio A., 2012, A & A, 546, 13
13. Cavuoti S., Brescia M., De Stefano V., Longo G., 2015, Experimental Astronomy, 39, 45
14. Chen Y-M. et al., 2012, MNRAS, 421, 314
15. Connolly A. J., Csabai I., Szalay A. S., Koo D. C., Kron R. G., Munn J. A., 1995, AJ, 110, 2655
16. Csabai I. et al., 2003, AJ, 125, 580
17. D'Abrusco R., Longo G., Walton N., 2007, ApJ, 663, 752
18. de Jong J. T. A., Verdoes Kleijn G. A., Kuijken K. H., Valentijn E. A., 2013, Experimental Astronomy, 35, 25
19. de Jong J. T. A. et al., 2015, A & A, submitted (arXiv:1507.00742)
20. Driver S. P. et al., 2011, MNRAS, 413, 971
21. Freeman P. E., Newman J. A., Lee A. B., Richards J. W., Schafer C. M., 2009, MNRAS, 398, 2012
22. Geisser S., 1975, J. Amer. Statist. Assoc., 70, 320
23. Giannantonio T., Scranton R., Crittenden R. G., Nichol R. C., Boughn S. P., Myers D., Richards G. T., 2008, Phys. Rev. D, 77, 123520
24. Hennawi J. F. et al., 2006, AJ, 131, 1
25. Hildebrandt H. et al., 2010, A & A, 523, 31
26. Hopkins A. M. et al., 2013, MNRAS, 430, 2047
27. Hoyle E., Rau M. M., Bonnett C., Seitz S., Weller J., 2015, MNRAS, 450, 305
28. Kaiser N., 2004, Proc. SPIE, 5489, 11
29. Kuijken K., 2011, ESO Messenger, 146, 8
30. La Barbera F., de Carvalho R. R., Kohl-Moreira J. L., Gal R. R., Soares-Santos M., Capaccioli M., Santos R., Sant'anna N., 2008, PASP, 120, 681
31. Laureijs R. et al., 2011, Euclid Definition Study Report, ESA/SRE(2011)12, Issue 1.1 (arXiv:astro-ph/1110.3193)
32. McFarland J. P., Verdoes-Kleijn G., Sikkema G., Helmich E. M., Boxhoorn D. R., Valentijn E. A., 2013, Experimental Astronomy, 35, 45
33. Myers A. D. et al., 2006, ApJ, 638, 622
34. Polsterer K. L., Gieseke F., Igel C., Goto T., 2014, in Manset N., Forshay P., eds, ASP Conf. Ser. Vol. 485, Astronomical Data Analysis Software and Systems XXIII. Astron. Soc. Pac., San Francisco, p. 425
35. Scranton R. et al., 2005, ApJ, 633, 589
36. Vanzella E. et al., 2004, A & A, 423, 761
37. Wadadekar Y., 2005, PASP, 117, 79
38. Way M. J., Srivastava A. N., 2006, ApJ, 647, 102
39. Yéche C. et al., 2010, A & A, 523, 14