Abstract
We have classified a sample of 37,492 objects from SDSS into QSOs, galaxies and stars using photometric data over five wave bands (u, g, r, i and z) and UV GALEX data over two wave bands (near-UV and far-UV) based on a template fitting method. The advantage of this method of classification is that it does not require any spectroscopic data and hence the objects for which spectroscopic data is not available can also be studied using this technique. In this study, we have found that our method is consistent by spectroscopic methods given that their UV information is available. Our study shows that the UV colours are especially important for separating quasars and stars, as well as spiral and starburst galaxies. Thus it is evident that the UV bands play a crucial role in the classification and characterization of astronomical objects that emit over a wide range of wavelengths, but especially for those that are bright at UV. We have achieved the efficiency of 89% for the QSOs, 63% for the galaxies and 84% for the stars. This classification is also found to be in agreement with the emission line diagnostic diagrams.
Similar content being viewed by others
References
Abraham S., Philip N. S., Kembavi A., Wadadekar Y. G., Sinha R. 2012, MNRAS, 419, 80
Agueros M. A. et al. 2005, AJ, 130, 1022
Aihara H. et al. 2011, ApJS, 193, 29
Antonucci R. 1993, ARA&A, 31, 473
Antonucci R. R. J., Miller J. S., 1985, ApJ, 297, 621
Arnouts S., Cristiani S., Moscardini L., Matarrese S., Lucchin F., Fontana A., Giallongo E., 1999, MNRAS, 310, 540
Assef R. J. et al. 2010, ApJ, 713, 970
Atlee D. W., Gould A., 2007, ApJ, 664, 53
Baldwin J. A., Phillips M. M., Terlevich R. 1981, PASP, 93, 5
Benitez N. 2000, ApJ, 536, 571
Bianchi L. et al. 2005, ApJ, 619, L27
Bianchi L. et al. 2007, ApJS, 173, 659
Bianchi L. et al. 2011, MNRAS, 411, 2770
Bohlin R. C., Colina L., Finley D. S. 1995, AJ, 110, 1316
Bolton A. S. et al. 2012, AJ, 144, 144
Bovy J. et al. 2011, ApJ, 729, 141
Bradley M. P. 1997, An introduction to Active Galactic Nuclei, Cambridge University Press
Brandt W. N., Hasinger G. 2005, ARA&A, 43, 827
Brescia M., Cavouti S., Longo G., 2015, MNRAS, 450,3893
Budavari T. et al. 2005, ApJ, 619, L31
Budavari T. et al. 2009, ApJ, 694, 1281
Calistro Rivera G., Lusso E., Hennawi J. F., Hogg D. W. 2016, ApJ, 833, 98
Calzetti D., Kinney A. L., Storchi-Bergmann T. 1994, ApJ, 429, 582
Carliles S., Budavari T., Heinis S., Priebe C., Szalay A. S. 2010, ApJ, 712, 511
Carrasco K. M., Brunner R. 2013, MNRAS, 432, 1483
Castelli F., Kurucz R. L. 2004, preprint (astro-ph/0405087v1)
Chung S. M. et al. 2014, ApJ, 790, 54
Collister A., Lahav O. 2004, PASP, 116, 345
Combes F. 2003, ASPC, 290, 411
Croom S. M., Smith R. J., Boyle B. J., Shanks T., Loaring N. S., Miller L., Lewis I. J. 2001, MNRAS, 322, L29
DiPompeo M. A., Myers A. D., Hickox R. C., Geach J. E., Hainline K. N. 2014, MNRAS, 442, 3443
DiPompeo M. A., Bovy J., Myers A. D., Lang D. 2015, MNRAS, 452, 3124
Donoso E., Yan L., Stern D., Assef R. J. 2014, ApJ, 789, 44
Fadely R., Hogg D. W., Willman B. 2012, ApJ, 760, 15
Fotopoulou S. 2012, ApJS, 198, 1
Francis P. J., Hewett P. C., Foltz C. B., Chaffee F. H., Weymann R. J., Morris S. L. 1991, ApJ, 373, 465
Gerdes D. W., Sypniewki A. J., McKay T. A., Hao J., Weis M. R., Wechsler R. H., Busha M. T. 2010, ApJ, 715, 823
Gunn J. E. et al. 1998, AJ, 116, 3040
Hernandez-Fernandez J. D., Iglesias-Paramo J., Vilchez J. M. 2012, ApJS, 199, 22
Hutchings J. B., Bianchi L. 2008, PASP, 120, 275
Hutchings J. B., Bianchi L. 2010, AJ, 140, 1987
Ilbert O. et al. 2006, A&A, 457, 841
Ivezic Z. et al. 2002, AJ, 124, 2364
Jarrett T. H. et al. 2011, ApJ, 735, 112
Jester S. et al. 2005, AJ, 130, 873
Jimenez R., Spergel D. N., Niemack M. D., Menanteau F., Hughes J. P., Verde L., Kosowsky A. 2009, ApJS, 181, 439
Kauffmann G. et al. 2003, MNRAS, 346, 1055
Kewley L. J., Dopita M. A., Sutherland R. S., Heisler C. A., Trevea J. 2001, ApJ, 556, 121
Kewley L. J., Groves B., Kauffmann G., Heckman T. 2006, MNRAS, 372, 961
Kim E. J., Brunner R. J., Carrasco Kind M. 2015, MNRAS, 453, 507
Kinney A. L., Calzetti D., Bohlin R. C., McQuade K., Storchi-Bergmann T., Schmitt H. R. 1996, ApJ, 467, 38
Li I., Yee H. 2012, ApJ, 749, 2
Levesque E. M., Kewley L. J., Larson K. L. 2010, AJ, 139, 712
Martin D. C. et al. 2005, ApJ, 619, L1
Marshall H. L., Avni Y., Braccesi A., Huchra J. P., Tananbaum H., Zamorani G., Zitelli V. 1984, ApJ, 283, 50
Menzel M. L. et al. 2016, MNRAS, 457, 110
Monroe T. R., Prochaska J. X., Tejos N., Worseck G., Hennawi J. F., Schmidt T., Tumlinson J., Shen Y. 2016, AJ, 152, 25
Morrissey P. et al. 2005, ApJ, 619, L7
Mullaney J. R., Alexander D. M., Fine S., Goulding A. D., Harrison C. M., Hickox R. C. 2013, MNRAS, 433, 622
Munoz-Mateos J. C. et al. 2009, ApJ, 703, 1569
Netzer H. 2015, ARA&A, 53, 365
Paris I. et al. 2014, A&A, 563, 54
Peters C. M. et al. 2015, ApJ, 811, 95
Polletta M. et al. 2007, ApJ, 663, 81
Preethi K., Gudennavar S. B., Bubbly S. G., Murthy J., Brosch N. 2014, MNRAS, 437, 771
Reyes R. et al. 2008, AJ, 136, 2373
Rowan-Robinson M. et al. 2005, AJ, 129, 1183
Richards G. T. et al. 2002, AJ, 123, 2945
Richards G. T. et al. 2015, ApJS, 219, 39
Sanders D. B., Soifer B. T., Elias J. H., Madore B. F., Matthews K., Neugebauer G., Scoville N. Z. 1988, ApJ, 325, 74S
Smith J. A. et al. 2002, AJ, 123, 2121
Stern D. et al. 2012, ApJ, 753, 30
Tadhunter C., Dickson R., Robinson T. G., Wills K., Martin V. M., Hughes M. 2002, MNRAS, 330, 977
Trammell G. B., Vanden Berk D. E., Schneider D. P., Richards G. T., Hall P. B., Anderson S. F., Brinkmann J. 2007, AJ, 133, 1780
Treister E., Krolik J. H., Dullemond C. 2008, ApJ, 679, 140
Tremonti C. A., Moustakas J., Diamond A. M. 2007, ApJ, 663, L77
Urry C. M., Padovani P. 1995, PASP, 107, 803
Vanden Berk D. E. et al. 2001, AJ, 122, 549
Veilleux S., Osterbrock D. E. 1987, ApJS, 63, 295
Wadadekar Y. 2005, PASP, 117, 79
Weedman D. W. 1977, ARA&A, 15, 69
Weingartner J. C., Draine B. T. 2001, ApJ, 548, 296
Yan L. et al. 2013, AJ, 145, 55
York D. G. et al. 2000, AJ, 120, 1579
Zakamska N. L. et al. 2003, AJ, 126, 2125
Acknowledgements
The authors would like to thank the anonymous reviewers for their critical comments that have helped us in improving the paper. This work was supported by the Department of Science and Technology (DST), Ministry of Science and Technology, Government of India, New Delhi, India under Grant No. SR/S2/HEP-050/2012. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the participating institutions, the National Science Foundation, and the US Department of Energy Office of Science. The SDSS-III website is http://www.sdss3.org/. In the present work, data from SDSS and GALEX have been used. SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. GALEX is a NASA mission managed by Jet Propulsion Laboratory. This work is based on data from GALEX-GR6 and the authors acknowledge GALEX and NASA for their support. One of the authors (SBG) thanks the Inter-University Centre for Astronomy and Astrophysics, Pune for Associateship.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Anjum, A., Das, M., Murthy, J. et al. Template-based classification of SDSS-GALEX point sources. J Astrophys Astron 39, 61 (2018). https://doi.org/10.1007/s12036-018-9552-3
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s12036-018-9552-3