Hostname: page-component-7c8c6479df-995ml Total loading time: 0 Render date: 2024-03-28T03:30:51.945Z Has data issue: false hasContentIssue false

Multi-wavelength studies of the statistical properties of active galaxies using Big Data

Published online by Cambridge University Press:  30 May 2017

A. M. Mickaelian
Affiliation:
Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Armenia email: aregmick@yahoo.com
H. V. Abrahamyan
Affiliation:
Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Armenia email: aregmick@yahoo.com
M. V. Gyulzadyan
Affiliation:
Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Armenia email: aregmick@yahoo.com
G. A. Mikayelyan
Affiliation:
Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Armenia email: aregmick@yahoo.com
G. M. Paronyan
Affiliation:
Byurakan Astrophysical Observatory (BAO), Byurakan 0213, Armenia email: aregmick@yahoo.com
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Statistical studies of active galaxies (both AGN and Starburst) using large multi-wavelength data are presented, including new studies of Markarian galaxies, large sample of IR galaxies, variable radio sources, and large homogeneous sample of X-ray selected AGN. Markarian survey (the First Byurakan Survey) was digitized and the DFBS database was created, as the biggest spectroscopic database by the number of objects involved ( ~ 20 million). This database provides both 2D images and 1D spectra. We have carried out a number of projects aimed at revealing and multi-wavelength studies of active galaxies among optical, X-ray, IR and radio sources. Thousands of X-ray sources were identified from ROSAT, including many AGN (52% among all identified sources). IRAS PSC/FSC sources were studied having accurate positions from WISE and a large extragalactic sample was created for further search for AGNs. The fraction of active galaxies among IR-selected galaxies was estimated as 24%. Variable radio sources at 1.4 GHz were revealed by cross-correlation of NVSS and FIRST catalogues using the method introduced by us for optical variability. Radio-X-ray sources were revealed from NVSS and ROSAT for detection of new active galaxies. Big Data in astronomy is described that provide new possibilities for statistical research of active galaxies and other objects.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2017 

References

Abrahamyan, H. V. & Mickaelian, A. M. 2014a, Proc. IAU Symp. 304. CUP, 100CrossRefGoogle Scholar
Abrahamyan, H. V. & Mickaelian, A. M. 2014b, Proc. IAU Symp. 304. CUP, 102Google Scholar
Abrahamyan, H. V., Mickaelian, A. M., & Knyazyan, A. V. 2015, A&C, 10, 99; VizieR On-line Data Catalog II/338Google Scholar
Alam, S., Albareti, F. D., Allende Prieto, C., et al. 2015, ApJS, 219, 12 CrossRefGoogle Scholar
Arakelian, M. A. 1975, Commun. BAO, 47, 3 Google Scholar
Condon, J. J., Cotton, W. D., Greisen, E. W., et al. 1998, AJ, 115, 1693 Google Scholar
Cutri, R. M., Wright, E. L., Conrow, T., et al. 2013, AllWISE Data Release, IPAC/Caltech, VizieR Catalog II/328Google Scholar
Helfand, D. J., White, R. L., & Becker, R. H. 2015, ApJ, 801, 26 CrossRefGoogle Scholar
Hovhannisyan, L. R., Mickaelian, A. M., Weedman, D. W., et al. 2009, AJ, 138, 251 Google Scholar
Kazarian, M. A., Adibekyan, V. Zh., McLean, B., et al. 2010, Ap, 53, 57; Vizier On-line Data Catalog VII/254Google Scholar
Kazarian, M. A. & Mickaelian, A. M. 2007, Ap, 50, 127 Google Scholar
Markarian, B. E. 1967, Ap, 3, 24 Google Scholar
Markarian, B. E., Lipovetsky, V. A., Stepanian, J. A., et al. 1989, Comm. SAO, 62, 5 Google Scholar
Massaro, E., Maselli, A., Leto, C., et al. 2015, Ap&SS, 357, 75 Google Scholar
Massaro, E., Mickaelian, A. M., Nesci, R., & Weedman, D. (Eds.) 2008, Digitized First Byurakan Survey, ARACNE Editrice, Rome, 78 p.Google Scholar
Mazzarella, J. M. & Balzano, V. A. 1986, ApJS, 62, 751 CrossRefGoogle Scholar
Mickaelian, A. M. 1995, Ap, 38, 349 Google Scholar
Mickaelian, A. M. 2008, AJ, 136, 946; VizieR On-line Data Catalog III/258Google Scholar
Mickaelian, A. M. 2014, Proc. IAU Symp. 304. CUP, 304, 1 Google Scholar
Mickaelian, A. M., Abrahamyan, H. V., Paronyan, G. M., & Harutyunyan, G. S. 2013, AN, 334, 887 Google Scholar
Mickaelian, A. M., Hovhannisyan, L. R., Engels, D., Hagen, H., & Voges, W. 2006, A&A, 449, 425 Google Scholar
Mickaelian, A. M., Lawrence, A., & Magakian, T. Yu. (Eds.) 2016, Proc. Symposium, ASP Conf. Ser. Google Scholar
Mickaelian, A. M., Mikayelyan, G. A., & Sinamyan, P. K. 2011, MNRAS, 415, 1061 Google Scholar
Mickaelian, A. M., Nesci, R., Rossi, C., et al. 2007, A&A, 464, 1177 Google Scholar
Mickaelian, A. M., Paronyan, G. M., Harutyunyan, G. S., et al. 2016, A&ApTr, 29, 333.Google Scholar
Mickaelian, A. M. & Sanders, D. B. (Eds.) 2014, Proc. IAU S304. CUP Google Scholar
Mickaelian, A. M. & Sargsyan, L. A. 2004, Ap, 47, 213 Google Scholar
Mickaelian, A. M. & Sargsyan, L. A. 2010, Ap, 53, 483 Google Scholar
Mickaelian, A. M., Sargsyan, L. A., Gigoyan, K. S., et al. 2009, Romanian Astron. J., 18S, 249 Google Scholar
Paronyan, G. M., Abrahamyan, H. V., Harutyunyan, G. S. & Mickaelian, A. M. 2014, Proc. IAU Symp. 304. CUP, 164Google Scholar
Paronyan, G. M., Harutyunyan, G. S., & Mickaelian, A. M. 2014, Proc. IAU Symp. 304. CUP, 166Google Scholar
Paronyan, G. M., Mickaelian, A. M., & Abrahamyan, H. V. 2014, Proc. IAU Symp. 304. CUP, 161Google Scholar
Sargsyan, L. A., Mickaelian, A. M., Weedman, D., & Houck, J. 2008, ApJ, 683, 114 Google Scholar
Stepanian, J. A. 2005, RMxAA, 41, 155 Google Scholar
Véron, P., Lindblad, P. O., Zuiderwijk, E. J., et al. 1980, A&A, 87, 245 Google Scholar
Véron-Cetty, M. P., Balayan, S. K., Mickaelian, A. M., et al. 2004, A&A, 414, 487 Google Scholar
Véron-Cetty, M.-P. & Véron, P. 2010, A&A, 518, 10 Google Scholar