Identification of the OGLE Blazars behind the Large and Small Magellanic Clouds

Similar documents
Blazars behind the Magellanic Clouds

arxiv: v1 [astro-ph.sr] 29 Jan 2009

2 Princeton University Observatory, Princeton, NJ , USA

Results of the OGLE-II and OGLE-III surveys

The OGLE search for microlensing events towards the LMC

arxiv: v1 [astro-ph.sr] 17 Oct 2012

arxiv: v1 [astro-ph.he] 18 Dec 2017

arxiv: v1 [astro-ph.sr] 19 Dec 2016

Alan Turing Building, Oxford Road, Manchester M13 9PL, UK; * Correspondence:

Concepción, Chile ABSTRACT

Quasars and Active Galactic Nuclei (AGN)

Binary Lenses in OGLE-III EWS Database. Season 2004

BV R photometry of comparison stars in selected blazar fields

IRS Spectroscopy of z~2 Galaxies

SUPPLEMENTARY INFORMATION

arxiv:astro-ph/ v1 25 Mar 1998

New Discoveries and Surprises Revealed through SALT Spectroscopy of the Unclassified Fermi-LAT Sources

Dark Matter ASTR 2120 Sarazin. Bullet Cluster of Galaxies - Dark Matter Lab

The Hamburg/RASS Catalogue of Optical Identifications of ROSAT-BSC X-ray Sources

arxiv: v1 [astro-ph.im] 7 Apr 2016

Radio infrared correlation for galaxies: from today's instruments to SKA

arxiv:astro-ph/ v2 7 Apr 1999

Multi-Wavelength Observations of PG

The Australia Telescope 20 GHz (AT20G) Survey: analysis of the extragalactic source sample

High Redshift Universe

OGLE-TR-56. Guillermo Torres, Maciej Konacki, Dimitar D. Sasselov and Saurabh Jha INTRODUCTION

arxiv: v1 [astro-ph] 12 Nov 2008

Astr Resources

arxiv:astro-ph/ v2 2 Mar 2000

arxiv:astro-ph/ v2 8 Jan 2002

Optical properties of high-frequency radio sources from the Australia Telescope 20 GHz (AT20G) Survey

Multi-wavelength Surveys for AGN & AGN Variability. Vicki Sarajedini University of Florida

Lecture 9. Quasars, Active Galaxies and AGN

Lecture 11: SDSS Sources at Other Wavelengths: From X rays to radio. Astr 598: Astronomy with SDSS

PoS(extremesky2009)103

Active Galactic Nuclei

Diffuse Gamma-Ray Emission

Comparison between 30 micron sources in different galaxies

SUPPLEMENTARY INFORMATION

Active Galaxies & Quasars

SUPPLEMENTARY INFORMATION

Data Release 5. Sky coverage of imaging data in the DR5

arxiv: v1 [astro-ph.he] 27 Sep 2016

Learning algorithms at the service of WISE survey

SUPPLEMENTARY INFORMATION

Infrared imaging of WENSS radio sources

PDF hosted at the Radboud Repository of the Radboud University Nijmegen

Microlensing towards the Galactic Centre with OGLE

Feeding the Beast. Chris Impey (University of Arizona)

Benefits of Infrared. The Spitzer Space Telescope. Instruments/Components of Spitzer. Cryostat. Infrared Telescope

Investigating the Infrared Properties of Candidate Blazars. Jessica Hall

1 Introduction. 2 Observations. HD , an Eccentric Ellipsoidal System

Radio-optical outliers a case study with ICRF2 and SDSS

Modern Image Processing Techniques in Astronomical Sky Surveys

SKA Continuum Deep Field Surveys

Demographics of radio galaxies nearby and at z~0.55. Are radio galaxies signposts to black-hole mergers?

Blazar monitoring with KAT-7: PKS a test case

PoS(extremesky2009)018

Radio Loud Black Holes. An observational perspective

Active galaxies. Some History Classification scheme Building blocks Some important results

Radio sources. P. Charlot Laboratoire d Astrophysique de Bordeaux

When a Black Hole Winks. in a galaxy far, far away. - Author: Shyeh Tjing Cleo Loi (October 2010)

Spitzer Space Telescope

Introduction to AGN. General Characteristics History Components of AGN The AGN Zoo

Astronomy. Optics and Telescopes

Multi-wavelength Astronomy

arxiv: v1 [astro-ph] 1 Dec 2008

Probing the Origin of Supermassive Black Hole Seeds with Nearby Dwarf Galaxies. Amy Reines Einstein Fellow NRAO Charlottesville

New Extended Radio Sources From the NVSS

The micro- and nano-jy sky

Radio Nebulae around Luminous Blue Variable Stars

Light curve solutions of eclipsing binaries in SMC

The optical gravitational lensing experiment. Variable stars in globular clusters

Linear Polarization Properties of Parsec-Scale AGN Jets. arxiv: v1 [astro-ph.he] 8 Dec 2017

The Bright Side of the X-ray Sky The XMM-Newton Bright Survey. R. Della Ceca. INAF Osservatorio Astronomico di Brera,Milan

Bright gamma-ray sources observed by DArk Matter Particle Explorer

Igor Soszyński. Warsaw University Astronomical Observatory

Vera Genten. AGN (Active Galactic Nuclei)

Luminosity dependent covering factor of the dust torus around AGN viewed with AKARI and WISE

PAGaN II: The evolution of AGN jets on sub-parsec scales Junghwan Oh Seoul National University East-Asia AGN Workshop 2016

Notes: Infrared Processing and Analysis Center (IPAC). IPAC was founded to process IRAS data and has been expanded to other space observatories.

arxiv:astro-ph/ v1 7 Dec 1998

A New 3-D Picture of the Milky Way with Classical Cepheids

Near-Infrared Imaging Observations of the Orion A-W Star Forming Region

arxiv: v1 [astro-ph.ga] 30 Oct 2009

16th Microlensing Season of the Optical Gravitational Lensing Experiment

Clusters and Groups of Galaxies

50 Years of Quasars Ken Kellermann

Active Galactic Nuclei

The Extragalactic Gamma-Ray View of AGILE and Fermi

Accurate dynamical mass determination of a classical Cepheid in an eclipsing binary system

AGILE and Blazars: the Unexpected, the Unprecedented, and the Uncut

Quasar Selection from Combined Radio and Optical Surveys using Neural Networks

arxiv: v1 [astro-ph.he] 16 Jan 2018

Radio Properties Of X-Ray Selected AGN

A COMPLETE SAMPLE OF MEGAPARSEC-SIZE DOUBLE RADIO SOURCES FROM SUMSS

Quasars ASTR 2120 Sarazin. Quintuple Gravitational Lens Quasar

SPITZER SPACE TELESCOPE

Introduction to the Sloan Survey

Chapter 17. Active Galaxies and Supermassive Black Holes

Transcription:

galaxies Article Identification of the OGLE Blazars behind the Large and Small Magellanic Clouds Natalia Żywucka 1, *, Arti Goyal 1, Marek Jamrozy 1, Łukasz Stawarz 1, Michał Ostrowski 1, Szymon Kozłowski 2 and Andrzej Udalski 2 1 Astronomical Observatory, Jagiellonian University, ul. Orla 171, 30-244 Kraków, Poland; arti@oa.uj.edu.pl (A.G.); jamrozy@oa.uj.edu.pl (M.J.); stawarz@oa.uj.edu.pl (Ł.S.); mio@oa.uj.edu.pl (M.O.) 2 Warsaw University Observatory, Al. Ujazdowskie 4, 00-478 Warszawa, Poland; simkoz@astrouw.edu.pl (S.K.); udalski@astrouw.edu.pl (A.U.) * Correspondence: n.zywucka@oa.uj.edu.pl Received: 30 October 2017; Accepted: 22 November 2017; Published: 28 November 2017 Abstract: We report the selection of blazar candidates behind the Large and Small Magellanic Clouds. Both flat spectrum radio quasar and BL Lacreate objects were selected based on the long-term, multi-colour Optical Gravitational Lensing Experiment photometric data. We cross-correlated the Magellanic Quasar Survey catalogue of spectroscopically confirmed quasars and quasar candidates located behind the Magellanic Clouds with the radio data at six frequencies from 0.8 to 20 GHz. Among the 1654 objects visible in optical range, we identified a sample of 44 newly selected blazar candidates, including 27 flat spectrum radio quasars and 17 BL Lacs. We examined selected objects with respect to their radio, optical, and mid-infrared properties. Keywords: galaxies: active; flat spectrum radio quasars and BL Lacertae blazars; individual: Small and Large Magellanic Clouds 1. Introduction The Optical Gravitational Lensing Experiment (OGLE) has observed a few million stars in the area of both Magellanic Clouds (MCs). The Magellanic Quasars Survey (MQS) [1] is based on an OGLE-III phase of the experiment and was designed to increase the number of the identified active galactic nuclei (AGN) behind both MCs. This survey covers 100% of the LMC and 70% of the SMC OGLE-III areas, i.e., 42 deg 2. The AGN candidates found in the MC fields were analysed in a four-step selection process: mid-infrared properties, optical variability, ROSAT X-ray counterparts, and, finally, optical spectroscopy study. Eventually, the MQS catalogue contains 758 quasars; around 10 15% of them should be radio loud [2] and several of them may be the flat spectrum radio quasar (FSRQ) type blazars according to the AGN unification scheme [3]. During the selection process of the MQS quasars, some of the AGN candidates were rejected in the spectroscopic analysis due to the lack of particular emission lines in their optical spectra and were listed in the separate list of featureless sources (FS), although still obeying any of the mid-infrared and optical variability criteria. The FS list consists of 669 and 229 objects from the LMC and the SMC fields, respectively, and some of them may be blazars of the BL Lac type. Below, we present the selection procedure of blazars among the OGLE-detected AGN and AGN candidates. In particular, we cross-matched the MQS catalogue and the FS list with four radio catalogues, the Sydney University Molonglo Sky Survey (SUMSS) [4] at 0.843 GHz, the Australia Telescope 20 GHz (AT20G) [5] at 5, 8, and 20 GHz, the Parkes MIT NRAO (PMN) [6] at 4.85 GHz, and the Australia Telescope PMN follow-up (ATPMN) [7] at 4.8 and 8.6 GHz, to disclose both types of blazars. Galaxies 2017, 5, 88; doi:10.3390/galaxies5040088 www.mdpi.com/journal/galaxies

Galaxies 2017, 5, 88 2 of 5 2. Methodology The blazar candidates were selected based on the MQS catalogue and the FS list via (i) the radio and optical positioning; (ii) the cross-matching procedure; and (iii) the parameters examination of identified objects. The positions of the selected quasars from the MQS catalogue and the sources from the FS list were examined against the positions of radio sources from the two radio catalogues: the SUMSS at 0.84 GHz and the ATCA at 4.8 and 8.6 GHz. The cross-matching procedure was based on the archival data from four sky surveys: the SUMSS, AT20G, ATPMN, and PMN. We searched for the radio counterparts by cross-matching the optical positions of the MQS and FS sources with the positions of radio sources listed in the radio catalogues, using the standard spherical trigonometric distance procedure. Since various radio and optical surveys have different resolutions, we chose an error circle within which a source can be identified to be coincident with the same source from different catalogues: if the computed radius of the error circle, r, was found to be less than the square root of the quadratic sum of 1/3rd of optical and radio resolutions ( 1 is assumed at optical frequencies), the radio counterpart was considered to be coincident with the optical source. The further examination of the selected objects was based on the three parameters: the radio loudness (R), the radio spectral index (α r ), and the mid-infrared spectral index (α IR ). OGLE I-band photometric observations and radio ATPMN, AT20G, or SUMSS data were used to calculate R, while α r were obtained for all the sources observed at at least two different frequencies. Mid-infrared data were provided by the Infrared Array Camera (IRAC) and Multiband Imaging Photometer for SIRTF (MIPS) instruments onboard the Spitzer Space Telescope, at 3.6, 4.5, 5.8, and 8.0 microns. Figure 1 shows the radio contours overlayed on the gray scale optical images for the two exemplary identified blazar candidates. We used the Digitized Sky Survey (DSS) R-band optical images as grey scales and the radio data at 8.6, 4.85 or 0.845 GHz as contours. A black cross marks the optical position from the MQS catalogue or the FS list of each blazar candidate. All sources, which were found exclusively in the PMN catalogue, as well as other sources which were not associated with the peak of the radio emission, are considered as dubious and marked with the a symbol in the final list of the blazar candidates. -73 19 30-73 34 15 45 30 20 00 15 45 35 00 30 15 01 14 15 10 05 00 01 21 04 02 00 20 58 56 54 52 50 48 Figure 1. Exemplary contour maps of two identified blazar candidates, J0114-7320 and J0120-7334. We searched for the fractional linear polarization degree (PD r ) and linear polarization angle (PA r ) of all the selected candidates to further verify if the selected objects are indeed blazars. We have examined the AT20G catalogue and analyzed polarized flux densities on 4.8 and 8.6 GHz radio maps

Galaxies 2017, 5, 88 3 of 5 of the MCs. Finally, we extracted nine objects from the selected sample: six FSRQs and three BL Lacs (listed in Table 1), noting that all of them are strongly polarized radio sources with PD r,4.8ghz > 3%. Table 1. The degree of linear polarization and the polarization angle of the FSRQ and BL Lac blazar type candidates. Object PD r 4.8 GHz 5 GHz 8 GHz 8.6 GHz 20 GHz 4.8 GHz 8.6 GHz (%) (%) (%) (%) (%) ( ) ( ) (1) (2) (3) (4) (5) (6) (7) (8) FSRQ blazar type candidates J0114-7320 9.5 ± 0.5 7.0 ± 0.4 70.7 ± 14.7 12.9 ± 14.3 J0120-7334 5.0 ± 0.3 52.2 ± 0.7 J0442-6818 11.7 10.0 8.1 J0512-6732 3.3 ± 0.2 12.7 10.7 13.6 13.6 ± 2.1 J0551-6916 7.3 ± 0.4 8.3 ± 38.2 J0551-6843 9.1 ± 0.5 3.9 ± 40.4 BL Lac blazar type candidates J0111-7302 4.1 ± 0.2 8.3 8.3 9.7 4.7 ± 34.1 J0501-6653 10.6 ± 0.5 22.7 ± 1.1 2.8 ± 25.6 11.1 ± 46.1 J0518-6755 a 12.6 ± 0.6 16.6 ± 11.0 3. Results NOTE a Dubious object. Columns: (1) source designation, (2) (6) linear polarization degree (PD r ) at 4.8, 5, 8, 8.6, and 20 GHz, (7) and (8) linear polarization angle (PA r ) at 4.8 and 8.6 GHz. The sky distribution of our blazar candidates sample is presented in Figure 2. The main results of blazar identification are listed below: 1. We define two samples of 44 blazar candidates including 27 FSRQs and 17 BL Lacs. 2. All objects in our sample are optically faint with the V band magnitude between 18 and 22. All the FSRQ candidates are distant sources with redshifts from 0.286 up to 3.320. The redshift distribution for BL Lacs is unknown due to the lack of the emission lines in their optical spectra. 3. The R parameter for the selected sources varies from 12 to 4.45 10 3 for the FSRQ candidates and from 1.71 10 2 to 7.02 10 3 for the BL Lac candidates meaning that all the candidates are radio-loud indeed. 4. The estimated values of α r vary from 0.57 to 1.37. Since we used the non-simultaneous archival radio data in the analysis, the α r may indicate radio flux variability for the sampled sources, as it is expected for blazars. 5. The estimated values of α IR are between 0.44 and 3.07. The infrared colours indicate that the infrared continua of the selected sources are non-thermal in origin, as expected for blazars. 6. The PD r and PA r at 5, 8, and 20 GHz were taken from the AT20G catalogue and were measured by us from the archival 4.8 and 8.6 GHz radio maps. All the blazar candidates for which we have found polarimetric data are strongly polarized sources with the average polarization of PD r,4.8 6.8% at 4.8 GHz. The 4.8 and 5 GHz data were obtained with the same telescope but presumably on different dates. The fact that, for the two objects, i.e., J0512-6732 and J0111-7302, observed at both 4.8 and 5 GHz, there are very different PD r in these close radio bands, suggests polarization variability, which is a further indication that they are blazar like objects. Considering the α IR, R, and PD r parameters together, we suggest that nine candidates, including six FSRQ and three BL Lac type objects, can be safely recognized as newly identified blazars. PA r

Galaxies 2017, 5, 88 4 of 5-66 -67-68 -69-70 -71 06 30 00 05 30 00 04 30-70 -71-72 -73-74 -75 02 00 01 30 00 00 30 00 Figure 2. The distribution of the selected blazar candidates behind the Large (top panel) and the Small (bottom panel) MCs. The FSRQ candidates are shown with red open diamond symbols and BL Lac candidates are shown with red open triangular symbols. The gray scales of both MC optical images are taken from [8]. Acknowledgments: N.Ż. ackowledges support of the Polish National Science Centre (NCN) through the grant 2014/15/N/ST9/05171. A.G. and M.O. acknowledge support from the NCN through the grant 2012/04/A/ST9/00083. A.G. also acknowledges partial support from 2013/09/B/ST9/00026. Ł.S. was supported by the Polish NSC grant 2016/22/E/ST9/00061. The OGLE project has received funding from the NCN MAESTRO grant No. 2014/14/A/ST9/00121 to A.U. S.K. also acknowledges financial support from the NCN OPUS grant No. 2014/15/B/ST9/00093. Author Contributions: S.K. and A.U. provide the optical data form the OGLE survey; N.Ż. conducted the data gathering, data analysis, correlations studies, and discussion; M.J. and A.G. were involved in data gathering and analysis; and Ł.S. and M.O. were involved in the interpretation of the obtained results.

Galaxies 2017, 5, 88 5 of 5 Conflicts of Interest: The authors declare no conflict of interest. Abbreviations The following abbreviations are used in this manuscript: AGN BL Lac FS FSRQ LMC MQS OGLE SMC Active Galactic Nuclei BL Lacertae Featureless Sources Flat Spectrum Radio Quasar Large Magellanic Cloud Magellanic Quasars Survey Optical Gravitational Lensing Experiment Small Magellanic Cloud References 1. Kozłowski, S.; Onken, C.A.; Kochanek, C.S.; Udalski, A.; Szymański, M.K.; Kubiak, M.; Pietrzyński, G.; Soszyński, I.; Wyrzykowski, Ł.; Ulaczyk, K.; et al. The Magellanic Quasars Survey. III. Spectroscopic Confirmation of 758 Active Galactic Nuclei behind the Magellanic Clouds. Astrophys. J. 2013, 775, 92. 2. Kellermann, K.I.; Sramek, R.; Schmidt, M.; Shaffer, D.B.; Green, R. VLA observations of objects in the Palomar Bright Quasar Survey. Astron. J. 1989, 98, 1195 1207. 3. Urry, C.M.; Padovani, P. Unified Schemes for radio-loud active galactic nuclei. Publ. Astron. Soc. Pac. 1995, 107, 803 845. 4. Bock, D.C.-J.; Large, M.I.; Sadler, E.M. SUMSS: A Wide-Field Radio Imaging Survey of the Southern Sky. I. Science Goals, Survey Design, and Instrumentation. Astron. J. 1999, 117, 1578 1593. 5. Murphy, T.; Sadler, E.M.; Ekers, R.D.; Massardi, M.; Hancock, P.J.; Mahony, E.; Ricci, R.; Burke-Spolaor, S.; Calabretta, M.; Chhetri, R.; et al. The Australia Telescope 20 GHz Survey: The source catalogue. Mon. Not. R. Astron. Soc. 2010, 402, 2403 2423. 6. Condon, J.J.; Griffith, M.R.; Wright, A.E. The Parkes-MIT-NRAO surveys. IV Maps for the Southern Survey covering delta in the range -88 to -37 deg. Astron. J. 1993, 106, 1095 1100. 7. McConnell, D.; Sadler, E.M.; Murphy, T.; Ekers, R.D. ATPMN: Accurate positions and flux densities at 5 and 8 GHz for 8385 sources from the PMN survey. Mon. Not. R. Astron. Soc. 2012, 422, 1527 1545. 8. Bothun, B.D.; Thompson, I.B. Observations with the parking lot camera. I Surface photometry and color distribution of the Magellanic Clouds. Astrophys. J. 1988, 96, 877 883. c 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).