Dec 3, 2016 - 2 Institut de Ci`encies del Cosmos (ICCUB), Universitat de Barcelona ..... 555, A43. Gilli, R., Comastri, A., & Hasinger, G. 2007, A&A, 463, 79.
Feb 9, 2016 - Manual screening of all of the X-ray detections ensures the highest data quality. ... measure of the quality of the detection, and an evaluation of the X-ray variability is provided, along with the fluxes and count rates in. 7 X-ray ...
Jan 31, 2008 - sue of cosmology in the Cold Dark Matter (CDM) universe. ..... of age 0.1 Gyr and 1.5 Gyr, respectively, with red- .... method (Ling et al. 1986).
(http://cencosw.oamp.fr/FR/index.fr.html). .... (http://www.lam.oamp.fr/arnouts/LE-PHARE.html). ...... This figure "fig12_1.jpg" is available in "jpg"format from:.
Jan 17, 2011 - 5 Department of Astronomy and Astrophysics, 525 Davey Lab, the Pennsylvania State University, University Park, PA 16802, USA. 6 Institute for Gravitation ... dominated continuum provides the best description of the Xâray spectrum of
Apr 29, 2013 - We present the results of our analysis of average AGN XMM-Newton X-ray spectra in the Chandra Deep Field South observa- tion (hereafter ... the 2-12 keV rest-frame band larger than 15 in at least one EPIC camera (for a total of 100 X-r
Apr 11, 2005 - e-mail: [email protected] â Based on observation mad at the European Southern Observatory,. Paranal, Chile (ESO LP 164.O-0560). ââ Table 3 is also available in electronic form at the CDS via anonymous ftp to cdsarc.u-str
extensive follow-up observations, with a level of detail similar to those of Lutz et al. (2001),Ledlow et al. (2002),Genzel et al. (2003),and Frayer et al. (2003) for many systems. The speed with which we can carry-out these observations is limited b
Jan 31, 2008 - to infer the mass of hosting dark halos, since in the standard theoretical framework of galaxy evo- lution ..... ing the stellar population synthesis code devel- oped by Kodama & Arimoto (1997). As model ..... support from the Japan So
Jun 16, 2014 - 0.10 mag. However, SDSS covers only â¼12% of the NCC region. We originally planned to use the 1-meter telescope of the Wise Observatory with R and I bands ... underwent several major changes since then. ... The NCCS wide wavelength co
Jun 5, 2018 - a few basic analyses on the images which are released to the community as high level science products via the Mikulski ... 7 UCO/Lick Observatory, University of California, Santa. Cruz, CA 95064 .... fractions have been found to date as
Jan 3, 2018 - the i and r band (in order to test the relations found in early-type galaxies and to test for the presence of a young stellar popula- tion). We do not perform photometry measurements in the opti- cal images in this work. 2.5. Visual ins
firmed by the SIMBAD astronomical database as stars or. QSOs, so we removed them from our catalogs, leaving 1678 sources for the photometric redshift algorithm ...... South (HDFS), and more similar to the value of â¼ 20% to â¼. 35% determined by Fo
Jul 21, 2012 - Newton observations is carried out using software written specifically for the XMM-SUSS, that does not form part of the XMM-Newton SAS. Almost all source matches are within 3 arcsec, because only 0.8 per cent of the sources have positi
Jan 24, 2008 - public XMM-Newton Science Analysis Software (SAS), version. 6.1 plus the following modifications: ... may be used by eexpmap; released with SAS v6.5. 3.1. Initial reduction. The XMM-Newton Slew Data Files ...... Portal, M., Hasinger, G
Jan 24, 2008 - mirrors coupled with the high quantum efficiency of the EPIC detectors have made XMM-Newton the most ...... Software and Systems IV, ed.
Jul 21, 2012 - Ultraviolet Source Survey (XMM-SUSS), an electronic cat- alogue of UV sources ..... The XMM-OM also records tracking history data from its ...... the European Photon Imaging Camera instruments (EPIC;. Turner et al. 2001 ...
large sample of radio-selected star-forming galaxies span- ning the redshift range 0 < z < 1. The PDS includes a. 1.4GHz survey made ... The PDF provides a large, homogeneous sample of 1.4GHz sources that, through ...... ters survey (FIRST, White et
May 3, 2010 - recover in a robust and unbiased way the redshift and velocity dispersion ..... vations (the so-called âfirst epochâ data) in the VVDS-02h field.
May 3, 2010 - CO] 3 May 2010 ... recover in a robust and unbiased way the redshift and velocity ...... in recovering Ïvir decreases as well, as expected.
Oct 1, 2007 - 3 X-ray and Observational Astronomy Group, Department of Physics and Astronomy, Leicester University, Leicester LE1 7RH, UK. 4 H.H. Wills Physics .... find a population of galaxies not necessarily hosting active nu- clei as an important
Oct 3, 2008 - Almost five years ago, a catalogue of the Extended Chandra. Deep Field South (ECDFS) was published by ... Since the publishing of the original COMBO-17 ECDFS catalogue, two separate projects â MUSYC ... from changing the standard star
early-type galaxies with radio emission powered by an AGN, intermediate ... 0.7 show moderately powerful radio emission (P ~ 5 1023 W Hzâ1) which is at least ...
Jul 27, 2007 - ... Disc galaxy with star formation taking place around the cen- ... 0.41.23.1569.4072 Disc galaxy with mild star formation taking place in knots.
Astronomy & Astrophysics manuscript no. Antonucci_final February 22, 2018
The XMM Deep Survey in the CDF-S VII. UV catalogue of the Optical Monitor observations? M. Antonucci1 , A. Talavera2 , F. Vagnetti1 , D. Trevese3 , A. Comastri4 , M. Paolillo5 , P. Ranalli6, 4 , and C. Vignali7, 4 1 2 3 4
arXiv:1411.0502v2 [astro-ph.GA] 1 Dec 2014
5 6 7
Dipartimento di Fisica, Università di Roma “Tor Vergata”, Via della Ricerca Scientifica 1, 00133 Roma, Italy e-mail: [email protected] XMM-Newton Science Operation Centre, ESA, Villafranca del Castillo, Apartado 78, 28691 Villanueva de la Cañada, Spain Dipartimento di Fisica, Università di Roma “La Sapienza”, Piazzale Aldo Moro 2, 00185 Roma, Italy INAF-Osservatorio Astronomico di Bologna, Via Ranzani 1, 40127 Bologna, Italy Dipartimento di Scienze Fisiche, Università di Napoli Federico II, Via Cinthia 9, 80126 Napoli, Italy Institute of Astronomy, Astrophysics, Space Applications, and Remote Sensing, National Observatory of Athens, Palaia Penteli, 15236, Athens, Greece Dipartimento di Fisica e Astronomia, Università di Bologna, Via Berti Pichat 6/2, 40127 Bologna, Italy
Received ; accepted ABSTRACT Context. The XMM-Newton X-ray observatory has repeatedly observed the Chandra Deep Field-South (CDF-S) in 33 epochs (20012010) through the XMM-CDFS Deep Survey (Comastri et al. 2011). During the X-ray observations, XMM-OM (Mason et al. 2001) targeted the central 17×17 arcmin2 region of the X-ray field of view, providing simultaneous optical/UV coverage of the CDF-S. The resulting set of data can be used to build an XMM-OM catalogue of the CDF-S, filling the UV spectral coverage between the optical surveys and GALEX observations. Aims. We present the UV catalogue of the XMM-CDFS Deep Survey. Its main purpose is to provide complementary UV average photometric measurements of known optical/UV sources in the CDF-S, taking advantage of the unique characteristics of the survey (UV and X-ray simultaneous data, time monitoring ∼8.5 years, multi-wavelength photometry). The data reduction is also intended to improve the standard source detection on individual observations by cataloguing faint sources by stacking their exposure images. Methods. We re-processed the XMM-OM data of the survey and stacked the exposures from consecutive observations using the standard Science Analysis System (SAS) tools to process the data obtained during single observations. Average measurements of detections with SAS good quality flags from individual observations and from stacked images were joined to compile the catalogue. Sources were validated through the cross-identification within the ESO Imaging survey (Arnouts et al. 2001) and the COMBO-17 survey (Wolf et al. 2004). Results. Photometric data of 1129 CDF-S sources are provided in the catalogue, and optical/UV/X-ray photometric and spectroscopic information from other surveys are also included. The stacking extends the detection limits by ∼1 mag in the three UV bands, contributing ∼30% of the catalogued UV sources. The comparison with the available measurements in similar spectral bands confirms the validity of the XMM-OM calibration. The combined COMBO-17/X-ray classification of the “intermediate” sources (e.g. optically diluted and/or X-ray absorbed AGN) is also discussed. Key words. Catalogs - Surveys - Ultraviolet: galaxies - Ultraviolet: general - Galaxies: active
1. Introduction The XMM-CDFS Deep Survey was conceived to investigate the X-ray spectral properties of the highly obscured and Comptonthick active galaxies (Comastri et al. 2011). The repeated, longexposure time observations of the Chandra Deep Field-South (CDF-S) performed by XMM-Newton made it possible to collect the X-ray photons emitted by the heavily obscured sources, notwithstanding the strong absorption due to the obscuring dust. The foremost goal of the survey is to constrain the contribution of such obscured objects to the X-ray unresolved background (e.g. Gilli et al. 2007; Treister et al. 2009; Akylas et al. 2012), and the star formation and accretion processes in the early phases of the AGN evolution (e.g. Page et al. 2004; Menci et al. 2008). The first results in the analysis of the data were pro?
Tables 7 and 8 are only available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (22.214.171.124) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?J/A+A/
vided by the colour selection (Iwasawa et al. 2012) and spectroscopic selection (Comastri et al. 2011; Georgantopoulos et al. 2013) of the moderate-to-high redshift samples of highly obscured active galactic nuclei (AGN). Analysis of the iron Kα line of the average AGN spectra in the XMM-Newton CDFS observations was carried out (Falocco et al. 2013). The efficiency of IR power-law spectra, which is the selection criterion for finding obscured X-ray sources, was also studied (CastellóMor et al. 2013). XMM-Newton point-source catalogues in the hard bands 2-10 keV and 5-10 keV, with the respective number counts, were published by Ranalli et al. (2013) and contain 339 (flux limit 6.6×10−16 erg/s/cm2 ) and 137 objects (flux limit 9.5×10−16 erg/s/cm2 ). In particular, the XMM-CDFS represents the deepest XMM-Newton survey currently published in the 510 keV band. During the X-ray observations of the XMM-CDFS Deep Survey, the optical/UV telescope onboard the XMM-Newton observatory (Optical Monitor, XMM-OM, Mason et al. 2001), coArticle number, page 1 of 15
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aligned to the X-ray mirrors, simultaneously targeted the CDF-S with various filter-selection and exposure-time criteria (see Table 1). The complementarity of the optical/UV and X-ray observations and the wide time sampling of the survey enables multiwavelength variability analyses. It is possible, for instance, to study the individual and combined variability of the AGN Xray/UV ratio by extracting a sample of sources of known redshift (Vagnetti et al., in preparation; see also Vagnetti et al. 2010, 2013). The resulting set of XMM-OM data, however, can also be used to build a catalogue of the CDF-S sources in the optical and UV domains, taking advantage of the wavelength coverage provided by the six filters (three UV and three optical filters, with an overall range 180-590 nm), the full width at half-maximum (FWHM) of the point spread function (PSF) that is smaller than 2 arcsec for each filter, and the 17×17 arcmin2 field of view (see Page et al. (2012)). Several optical/near-UV surveys have targeted the CDF-S and its flanking fields, with the main purpose of photometrically and spectroscopically calculating the redshifts of the detectable sources. In the context of the ESO imaging survey (EIS, Arnouts et al. 2001) project, multi-colour (six broad band filters, U’UBVRI) photometric measurements of about 75 000 sources have been provided to observe the Extended-CDF-S (E-CDFS) through the Wide Field Imager (WFI, Baade et al. 1998, 1999) at the MPG/ESO 2.2m telescope on La Silla. By means of the same telescope and instrument, a nearly coincident area of 31.5×30 arcmin2 has been observed in 17 passbands (350930 nm) within the COMBO-17 survey, obtaining a catalogue of more than 60 000 objects including astrometry, classification, and photometric redshifts, with around 10 000 galaxies identified at RVega <24 (Wolf et al. 2004, 2008). Another optical and near-IR multi-wavelength survey has been developed by Cardamone et al. (2010) as part of the Multi-Wavelength Survey by Yale-Chile (MUSYC, Gawiser et al. 2006), combining the Subaru 18-bands imaging (400-900 nm) to 14 other available ground-based and Spitzer images: about 80 000 galaxies are catalogued at R≤27, and about 30 000 redshifts are computed. The Great Observatories Origins Deep Survey (GOODS, Giavalisco et al. 2004), instead, covers a 320 arcmin2 region in the CDF-S (GOODS-S) by using the Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS, Ford et al. 2003), through the filters F435W, F606W, F775W, and F850LP; it catalogued about 29 600 objects, at m≤27. Moreover, an 11 arcmin2 region within the GOODS-S (Hubble Ultra Deep Field, UDF, Beckwith et al. 2006) has been deeply observed by the ACS in the same bands, reaching a uniform limiting magnitude m∼29 for point sources. Voyer et al. (2009) also presented the U-band observations of the same area, achieved through the HST Wide-Field Planetary Camera 2 (WFPC2)/F300W filter (λmax ∼300 nm) and providing a catalogue of 96 objects. The Arizona CDFS Environment Survey (ACES, Cooper et al. 2012) spectroscopically targeted the E-CDF-S by means of the Inamori-Magellan Areal Camera and Spectrograph on the Magellan-Baade telescope (565-920 nm), yielding more than 5000 redshifts for R≤24.1 sources; it widens therefore previous sets of spectroscopic redshift estimates of CDF-S sources (e.g. Szokoly et al. 2004; Le Fèvre et al. 2005; Ravikumar et al. 2007; Popesso et al. 2009; Balestra et al. 2010; Silverman et al. 2010), for a total of about 1300 ACES objects with comparison published redshifts. All the publicly available spectroscopic redshift estimates in the CDF-S have been compiled in the ESO CDF-S Master Catalogue, version 3.01 . 1 http://www.eso.org/sci/activities/garching/projects/goods /MasterSpectroscopy.html
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Looking more specifically at the UV domain, the Galaxy Evolution Explorer (GALEX, Martin et al. 2005) has been surveying the sky in two UV broad bands (far-UV, FUV, 134179 nm; near-UV, NUV, 177-283 nm), reaching limiting magnitudes of about 20-21 mag (in the FUV and NUV pass-bands, respectively) through the All-Sky Imaging Survey (AIS, ∼22 000 deg2 ), and about 22.7 mag through the Medium-depth Imaging Survey (MIS, ∼2250 deg2 ), which were published by Bianchi et al. (2014). The GALEX observations of the CDF-S, instead, mainly refer to the Deep Imaging Survey (DIS, ∼80 deg2 ), whose observation integration time is typically 30 ks: within a ∼2830 arcmin2 region, UV photometric measurements of more than 36 000 sources are collected, at m< ∼26.5 in both bands. The CDF-S GALEX data are available on GalexView2 . We also notice that a ∼7 deg2 area centred on the CDF-S is part of the GALEX Time Domain Survey (TDS, ∼40 deg2 ), which has been planned to systematically study the UV variability on timescales of days to years (Gezari et al. 2013): about 250 TDS variable sources are selected in the region including the CDF-S. Regarding the CDF-S coverage in the other spectral ranges, we limit ourselves to mentioning the deep Chandra surveys in the X-ray band (1, 2, and 4 Ms source catalogues respectively described in Giacconi et al. 2002; Luo et al. 2008; Xue et al. 2011). The 4 Ms survey is characterised by a total solid angle coverage of about 465 arcmin2 , and its main catalogue includes 740 objects with up to three standard X-ray band measurements (0.5-8 keV, 0.5-2 keV, 2-8 keV). A combined classification of the sources, based on X-ray features and complementary optical spectroscopic information, is also provided: more than 75% of them are likely AGN. Comparison between the 4 Ms Chandra survey and the XMM-CDFS Deep Survey is described by Ranalli et al. (2013). Notwithstanding the deeper sensitivity of the Chandra surveys, the point-source catalogues by Ranalli et al. (2013) include 15 sources not detected by Chandra (5 of which are within the Chandra field of view). Despite the deep, multi-wavelength sampling of the CDF-S performed in recent years, it appears to be of general interest to develope an XMM-OM catalogue of the XMM-CDFS Deep Survey. As previously mentioned, the XMM-OM characteristics offer a powerful survey capability (Kuntz et al. 2008; Page et al. 2012), particularly in the UV domain, representing an effective compromise between the possibility of targeting extended fields — as, for instance, in the case of GALEX or the large groundbased telescopes — and the advantage of a finer spatial sampling with respect to GALEX (Page et al. 2012). Furthermore, the repeated observations of the field within the XMM-CDFS Deep Survey make it possible to stack the exposures of different observations, in order to improve the source detection and therefore the depth of the survey itself, allowing fainter sources to emerge above the significance threshold. The stacking procedure adopted for adding the exposure images uses the tools of the XMM standard Science Analysis System3 (SAS) to process the data obtained during single XMM-OM observations. The main purpose of the catalogue is to provide complementary UV photometric measurements of known optical/UV sources in the CDF-S; moreover, by comparing the XMM-OM data with the available measures in overlapped, nearly coincident wavelength bands, it is possible to test the XMM-OM calibration. This paper is structured as follows. The data processing and the construction of the catalogue, which we call XMMOMCDFS, are described in Section 2. In Section 3 we present the 2 3
Notes. The table reports the groups to which the observations belong (Group), the observation identification numbers (OBSID), the dates (time), the pointing sky coordinates (RA and Dec.), the position angle (p.a.), and the actual exposure times for each filter (the last six columns).
statistical description of the catalogue and cross-correlations and comparisons with other surveys in the field and discuss the available classifications of the sources. Section 4 summarises the results and the future developments in analysis of the XMM-OM CDFS data. Throughout the paper, we adopt the cosmology H0 =70 km/s/Mpc, Ωm =0.3, and ΩΛ =0.7.
2. Observations and data reduction 2.1. The XMM-CDFS Deep Survey XMM-OM data
The XMM-CDFS Deep Survey is composed of six groups of observations, performed at intervals of about six months, with a longer time gap between the first two groups (thereafter B1 and B2, July 2001-January 2002, 8 observations, P.I.: J. Bergeron) and the other ones (C1, C2, C3, and C4, July 2008-February 2010, 25 observations, P.I.: A. Comastri). The XMM-OM data have been obtained adopting different combinations of filters and observational strategies. In two of the groups of observations (B2 and C2), the full XMM-OM field of view is covered simultaneously (“full frame” configuration), while in the other cases it
is targeted by a series of consecutive single exposure frames in which it can be divided (“OM image” configuration), covering 92% of its extension; details of the imaging configurations are reported in the XMM-Newton Users Handbook4 . Both configurations refer to the “image mode”: events are spatially recorded, and therefore the coordinates in the bidimensional arrays of data correspond to their detector positions (Mason et al. 2001). We refer to Page et al. (2012, Table 1 and Figure 1) for the effective transmission curves and the other properties of the XMM-OM filter passbands. The exposure times per filter are summarised in Table 1, together with the pointing coordinates and the position angles of the observations. The archival XMM-OM data, available from the XMMNewton Science Archive5 (XSA) and from the NASA High Energy Astrophysics Science Archive Research Center6 (Heasarc), have been re-processed through the standard SAS fixed runs of 4 Issue 2.12, 2014 (ESA: XMM-Newton SOC), Section 126.96.36.199, http://xmm.esac.esa.int/external/xmm_user_support /documentation/uhb/index.html 5 http://xmm.esac.esa.int/xsa/ 6 http://heasarc.gsfc.nasa.gov/db-perl/W3Browse/w3browse.pl
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A&A proofs: manuscript no. Antonucci_final Table 2. Detections and sources from individual observations and stacked images, and final contents of the catalogue
a) Total detections from individual observations b) QF0 detections from individual observations c) Sources with QF0 detections from individual observations d) Sources with QF0 detections from stacking e) Subset of d), without counterparts in the omcat-catalogue f) Total sources before validation of the catalogue g) UV sources before validation of the catalogue h) UV sources in the XMMOMCDFS catalogue i) XMMOMCDFS sources from stacking
UVW2 1125 832 205 159 80 285 285 157 46
UVM2 1408 1164 260 284 138 398 398 301 113
UVW1 7437 6134 1060 1325 561 1621 1621 1121 348
U 13468 9434 1708 2041 863 2571 1075 954 66
B 5975 4225 1166 1186 645 1811 692 632 119
V 3182 2163 683 415 205 888 433 403 78
4478 1844 1129
Notes. a) and b) respectively refer to the total detections and the detections without bad quality flags (QF0) obtained by the standard data processing of the XMM-OM observations that compose the XMM-CDFS Deep Survey. c) the number of individual objects for each filter with at least one QF0 detection from individual observations (omcat-catalogue sources). d) and e) individual objects detected without bad quality flags from stacked images and subsets of these sources that are not included in the omcat-catalogue. f) total number of sources for each filter before the validation of the catalogue (Section 2.3) and before selecting the objects with UV measurements; f) equals c) + e). g) is the subset of f), containing the sources with at least one UV measurement. h) refers to the final contents of the XMMOMCDFS catalogue, after the validation process. i) indicates the number of XMMOMCDFS sources for each filter contributed by stacking and without counterparts from individual observations. The last column is empty for b), c), d), e), and i), because the selections of QF0 detections and of sources from stacking without individual observation counterparts have been performed separately for each filter.
interlinked tasks described by Page et al. (2012)7 , with constant values of significance and sigma8 . The total source list of an XMM-OM observation is composed of i) the detections from its individual exposures and ii) the detections from the sky-image built by mosaicking and stacking the exposure frames for each of the filters, without detections from individual exposures. The new detections from the stacked sky-image are not corrected by SAS for coincidence loss; however, since they are very faint, the correction would be negligible. During the SAS data processing, possible spurious detections can be caused by scattered-light artefacts (smoke rings, diffraction spikes, etc.), and the photometry estimates of true detections may be affected by contaminations, such as the presence of bad pixels. All the dubious detections are automatically marked by specific bad quality flags (QF, Page et al. 2012), which are summarised for each object (and for each filter) by an integer number; QF=0 for detections whose photometry is to be considered accurate (thereafter we use the acronym “QF0” for these detections). Matching the total source lists of each XMM-CDFS Deep Survey observation through the SAS package omcat, which identifies multiple detections of individual objects within 2 arcsec (or three times the position uncertainty), a data set of 18519 measurements is achieved for a total of 4365 sources. It includes all the standard detections obtained for each of the XMM-OM observations that compose the survey. The total and QF0 detections for each XMM-OM band are reported in Table 2 (rows “a)”, “b)”, and “c)”); the incidence of bad quality flags (QF>0) ranges between 17% and 31%.
Unlike the XSA and Heasarc pipeline data, however, the photometric uncertainties are computed by applying a binomial distribution, because, as demonstrated by Kuin & Rosen (2008), these are the correct statistics for the detectors of XMM-OM (microchannel plate intensified CCDs, Fordham et al. 2000) 8 The significance is defined as the ratio between the source counts and the respective root mean square background fluctuations, while the parameter sigma controls the minimum detection threshold (all the pixels with values greater than or equal to background value + sigma × background noise are considered part of a possible source). The standard values are minimum significance=3 and sigma=2. Article number, page 4 of 15
2.2. Data processing and stacking
Starting from the original catalogue of detections from individual observations, we discarded the QF>0 data for each filter to eliminate potentially spurious or inaccurate photometric measurements. Then, we computed the standard, unweighted average astrometry and photometry of individual objects, matching the possible multiple detections within a maximum separation of 1.5 arcsec, also considering the position uncertainties (Sky with errors match criterion), by means of the Virtual Observatory application TOPCAT9 . This cross-correlation criterion (with 1.5 arcsec maximum separation) is very similar to the internal match algorithm developed within the SAS packages (with a 2 arcsec maximum separation), and used before for identifying multiple detections of each source in joining the individual observation source lists with omcat (sec. 2.1). Thereafter, these catalogues of QF0 detections and average measurements for each filter are indicated as a whole as the “omcat-catalogue”. To let fainter sources emerge from the background above the significance threshold, we carried out the stacking of the exposures, per filter, for each of the groups of consecutive observations, by running the ommosaic package. Subsequently, we ran the sequence of omdetect, ommag, omqualitymap, and omsrclistcomb tasks for performing the source detection (again adopting the standard sigma and significance thresholds) and the astrometry correction, which is automatically carried out by SAS by comparing the XMM-OM coordinates with the USNO-B1.0 source catalogue (Monet et al. 2003). We did not stack all the available exposures as a whole, because the random background fluctuations can be magnified and overtake the cumulative source counts. By adding the image frames of each group separately, instead, it is possible to detect faint sources with accurate photometry: the position angle does not change, and the scattered-light artefacts are confined to limited regions of the field of view. Furthermore, cataloguing all the sources directly from the stacked images is not feasible: no coincidence loss corrections can be performed on stacked frames, and the photometry of brighter objects cannot be considered reliable in the subsequent detection process. 9
M. Antonucci et al.: XMMOMCDFS catalogue. Table 3. Cross-identification flags (CIF)
CIF 0 1 2 3 4 5
Definition of the flag Confirmed XMM-OM detection with unique EIS/COMBO-17 cross-identification Reliable XMM-OM counterpart of an EIS/COMBO-17 source with multiple XMM-OM cross-identifications Confirmed UVW2/UVM2 detection without UVW1 and U counterparts Ambiguous XMM-OM counterpart of an EIS/COMBO-17 source with multiple XMM-OM cross-identifications Ambiguous EIS/COMBO-17 counterpart of an XMM-OM source with multiple EIS/COMBO-17 crossidentifications Dubious UVW1 detection without U counterpart or potentially wrong cross-identification in the EIS and/or COMBO-17 survey
For integrating the omcat-catalogue with the deeper detections from the stacked images, we extracted the QF0 measurements separately for each filter, and we computed the average astrometry and photometry (row “d)” of Table 2). Then, for each of the filters, we matched the stacked image source lists with the corresponding omcat list of QF0 detections. We carried out the match again through the TOPCAT Sky with errors criterion, with a match radius of 1.5 arcsec, and in this way we selected the new detections from the stacked images without individual observation counterparts (row “e)” of Table 2). We averaged their coordinates and photometric estimates. (A few objects are detected twice within two or more stacked images of the same filter.) The source-lists that resulted from the concatenation of the omcat sets of individual sources and the new detections from stacking represent the corresponding deep catalogues of XMMOM in the CDF-S (row “f)” in Table 2). Matching them by coordinates, and finally selecting the objects detected in at least one of the UV bands (either in individual observations and/or stacked images), we obtained a source list of 1844 UV objects (row “g” of Table 2). It is important to note that some of the new detections from stacking in one or more of the filters correspond to objects already included in the omcat-catalogue, because detected in other bands. Therefore, the stacking partly provides detections of new sources without counterparts from individual observations, and partly contributes additional photometric measurements of omcat-catalogue objects. After validating the catalogue (see Section 2.3), with reference to the three UV filters, the contribution of the stacking will amount to ∼31% of new sources without counterparts from individual observations, while providing additional photometry for another ∼12% of sources. 2.3. Validation of the catalogue
Despite the selection of QF0 measurements — both from the source lists of individual observations and from stacking — the catalogue still contains potentially false detections. This contamination is pointed out by the subsequent clues: i) a considerable number of sources (367 out of 1844, about 20%) are detected in only one observation and in a single UV band, even though their magnitudes appear to be relatively bright, revealing the possibility of coincident events among the detections (e.g. cosmic rays, which show a typical square structure of 2×2 very bright pixels); ii) the spatial distribution of the detections partly reflects the distribution of the main artefacts in the images, such as the readout streaks due to a bright star within the area covered by the XMM-OM observations (see Figure 1). In other words, while some of the detections marked by bad QFs (QF>0) could be considered reliable and their photometric measurements only marginally inaccurate (Page et al. 2012), the SAS algorithms of validation do not prevent completely spurious detections to be recognised as true, so included in the catalogue. This occurs es-
N 988 35 8 38 4 56
Fig. 1. Examples of artefacts into the XMM-OM images. Top left panel: internal reflections within the telescope; top right panel: cosmic ray; bottom left panel: central enhanced region; bottom right panel: readout streak. White circles refer to the detections before validating the catalogue. All the images are extracted from UVW1 exposures. Bright stars have not been masked.
pecially if, within individual exposure frames, the artificial background fluctuations related to extended artefacts (smoke rings, readout streaks, the central enhanced region of the images) appear to be rarefied, and incidentally present well-defined sourcelike brighter pixel clusters. To validate the detections, the cross-identification with sources catalogued by given reference surveys of the CDF-S becomes necessary. For this purpose, we chose the ESO imaging survey (Arnouts et al. 2001) and the COMBO-17 survey (Wolf et al. 2004, 2008), because they are supposed to be complete at the limiting magnitudes that can be reached by XMMOM in the optical (and UV) bands. In fact, before validating the catalogue, the detection limits in the most sensitive XMMOM bands (UVW1 and U) are m=24.7 (see also Figure 2 for the UV magnitude distributions after the validation of the catalogue). Moreover, the EIS and COMBO-17 surveys are characterised by a very good astrometric precision better than 0.10 and 0.15 arcsec, respectively. The COMBO-17 catalogue also provides useful photometric classifications (and redshift estimates) by fitting the low resolution spectral energy distributions (SEDs) with specific templates for AGN, galaxies, and stars. We note that this validation process does not account for possible sources whose emission peaks in the far-UV domain, without counterparts in the EIS/COMBO-17 surveys. We estimate that, validating our catalogue with the GALEX observations in the CDFS, some tens up to one hundred sources without optical crossidentifications (depending on detailed validation after visual inArticle number, page 5 of 15
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spection on the images) would be added. We chose to only refer to the EIS/COMBO-17 surveys for validating the XMM-OM detections, to take advantage of the classifications provided by the reference optical surveys. We also notice that the validation procedure can lose some possible transient sources not present at the epochs of the reference ground-based surveys. The cross-correlation procedure adopted for the validation of the catalogue — and for identifying the sources within other CDF-S surveys, see Section 3.1 — is very standard. After matching the catalogue with the given reference source-list by coordinates, we repeat the cross-correlation with a set of false coordinates, which were obtained by adding an offset of 30 arcsec to the coordinates of the reference survey. Then, by comparing the histograms of the separations, we choose the best match radius for minimising the rate of false matches without losing too many true counterparts: this is determined to be 1 arcsec for the EIS and COMBO-17 surveys. The probability of false matches is estimated through the ratio between false and true cross-identifications within the match radius; the possible offset in the distribution of separations of the true counterparts, instead, indicates a possible bias in the astrometry of the catalogues. The possible incompleteness is estimated as the ratio between the residual matches within the tail of the distribution, beyond the chosen radius, and the total number including such matches. After selecting the best match radius, the cross-correlation is repeated in the all matches mode, for determining possible double or multiple counterparts. The choice of the most likely cross-identifications has been generally performed by selecting the counterparts at the lower distance. However, matching the XMM-OM source-list with the EIS and COMBO-17 surveys, visual inspections of the images and photometric considerations have been also carried out. We define a system of crossidentification flags (CIF), reported in Table 3, to account for the reliability of the identifications. By applying the procedure described above, the sources farther than 1 arcsec from the EIS or COMBO-17 counterparts are discarded, and a total of 1210 EIS and 1251 COMBO-17 counterparts are identified in the all matches mode. The probabilities of false matches correspond to 4.1% and 5.5%, respectively, while the maximum incompleteness is estimated at 6.1% and 2.7%, respectively. The cases of double or multiple XMM-OM cross-identifications of given EIS/COMBO-17 objects are 73; among them, 35 counterparts are clearly recognisable (CIF=1), because the other detections are spurious events (cosmic rays), while 38 are the ambiguous identifications. Only one of the counterparts is included in the main catalogue for each of these sources — the most likely in terms of angular distance — and is marked with CIF=3. The discarded counterparts are, however, listed in the supplementary catalogue, described in Section 3.3, together with the main catalogue. Four XMM-OM sources, instead, have two EIS/COMBO-17 counterparts: again, the most reliable of them is selected, but these identifications have to be considered ambiguous — the astrometric precision of the USNO-B1.0 source catalogue, used in SAS for the astrometry correction, is of about 0.2 arcsec, and the systematics in the distortion map currently turn out to be about 0.7 arcsec rms (Talavera 2011) — and they are marked by CIF=4. A note on the discarded identification is reported in the main catalogue (see Section 3.3). Visual checks of the images, intended to confirm potentially dubious detections, were also carried out. Spurious detections can be hidden in objects detected in the UVW2 and/or UVM2 bands without measurements in the UVW1 and U filters, and UVW1 sources without U counterparts, because the U sensitivArticle number, page 6 of 15
ity is higher with respect to the UV filters, and the UVW1 filter is more sensitive than the higher frequency bands. However, the U and UVW1 detections can be missing because of the selection by filter of QF0 measurements: 8 out of 17 UVW2/UVM2 detections without UVW1/U counterparts are real (CIF=2); similarly, 169 out of 239 UVW1 detections without U measurements are real. UVW1 sources that turned out to be clearly spurious (false events, residual detections on scattered-light artefacts) were discarded from the catalogue, while some dubious cases were marked with CIF=5. We also checked the cross-identifications that present suspiciously faint photometric measurements (R>24, U’>25; the R magnitudes are provided by both the EIS and the COMBO-17 survey, and U’ is the EIS U350/60 WFI filter) or uncommon colours. Very faint optical magnitudes from the EIS/COMBO17 counterparts, or strong differences in the XMM-OM and EIS/COMBO-17 photometric measurements between nearly coincident wavelength bands may indicate potentially wrong crossidentifications, but also possible physical reasons can account for such measurements (e.g. variability); consequently, the ambiguous identifications are visually checked and flagged with CIF=5 if deemed suspect, without being discarded. The final catalogue is composed of 1129 UV sources. Among them, 1031 objects constitute the subset of verified detections, with reliable EIS/COMBO-17 cross-identifications (CIF≤2, thereafter “good subsample”), while 98 objects (CIF≥3) have to be considered dubious at least in terms of their identifications in the reference optical surveys. In the next section, magnitude distributions, colour-colour diagrams, and photometry comparisons generally refer to the good subsample. We note that the present catalogue is not to be considered complete, owing to the complex selection that includes photometric and cross-identification flags, which produce an incompleteness mainly for the brighter sources, which are more affected by photometric artefacts. Towards the fainter magnitudes, we estimate the approximate magnitude completeness limits as UVW2'21.9, UVM2'22.1, and UVW1'22.8.
3. Presentation of the catalogue 3.1. Statistics and complementary information from cross-correlations
The XMMOMCDFS catalogue, as resulted from the data processing described in the previous section, contains the average astrometry and photometry of the sources detected in at least one of the three UV filters and with quality flag QF=0, confirmed by cross-correlating the EIS and the COMBO-17 surveys and through partial visual screening of the images. The good subsample is defined by the additional requirement CIF≤2. The photometry is computed as the unweighted average of the measurements from individual observations or from the stacked images. The XMM-OM optical average data and the information from the reference surveys (source identifications, COMBO-17 and X-ray classifications, spectroscopic redshifts) are also included. A total of 1121 out of 1129 sources have been detected in the UVW1 band, while the UVM2 and UVW2 photometry is available for 301 and 157 objects, respectively . Figure 2 shows the magnitude distributions of the good subsample in the UVW2 (upper panel), UVM2 (middle panel), and UVW1 (lower panel) bands, including the contribution by the stacking (shaded parts of the histograms). If compared to the analogous distributions presented by Kuntz et al. (2008) for the OMCat or to the normalised distributions of the XMM-SUSS
M. Antonucci et al.: XMMOMCDFS catalogue. 50
Galaxy Star White Dwarf
AGN Intermediate Uncertain 20
Fig. 3. UVM2−UVW1 versus UVW2−UVM2 diagram. The colours of the circles refer to the adopted classification of the objects, based on combining the photometric classifications provided by the COMBO17 survey and the Chandra 4 Ms source catalogue (see Section 3.2). Blue triangles indicate the galaxies, stars are represented as black filled circles, white dwarfs as asterisks, red filled squares indicate the AGN, while green filled circles represent the intermediate objects as defined in Section 3.2 (e.g. faint AGN optically diluted by the host galaxy starlight). Black empty circles refer to the sources whose classification is uncertain or unclassified. Symbols are also reported in a legend. The background black dot distribution is the whole XMM-SUSS diagram of Page et al. (2012). The most crowded region in the centre of the colourcolour plot is magnified in the small inset.
Fig. 2. Magnitude distributions for the good subsample (empty histograms): upper, middle, and lower panels refer to UVW2, UVM2, and UVW1 bands, respectively. The shaded histograms represent the contribution of the stacking.
sources obtained by Page et al. (2012), fainter magnitudes are reached both in terms of peaks of the distribution and limiting magnitudes (equal to 23.3, 24.0, and 24.7 for the UVW2, UVM2, and UVW1 bands, corresponding to flux densities of 1.1×10−17 , 4.9×10−18 , and 1.6×10−18 erg/s/cm2 /Å, respectively),
because the exposure times of the XMM-CDFS Deep Survey images are generally longer, and the stacking allows detection of faint sources, increasing the detection limit of each UV band by ∼1 mag. The source detection on stacked images contributes the 29.3% of the UVW2, the 37.5% of the UVM2, and the 31.0% of the UVW1 measurements. Figures 3 and 4 represent the UVM2−UVW1 versus UVW2−UVM2 and the U−B versus B−V colour plots, respectively. Only the sources detected in all the XMM-OM UV bands (Figure 3) and/or optical bands (Figure 4) are shown. No corrections for dust extinction or cosmological redshift were applied to produce the colour-colour diagrams. The distributions are presented as functions of the adopted classifications, obtained combining the COMBO-17 photometric classifications and the available estimates of likely source types given by Xue et al. (2011) — see Table 5 and Section 3.2 — and are compared with the colours of the XMM-SUSS sources (Page et al. 2012). Figure 5, instead, is obtained by defining the colours through the UVW1 and the EIS B and I bands, as done for instance by Bianchi et al. (2007), combining GALEX and Sloan Digital Sky Survey (SDSS) photometric measurements in the NUV−g versus g−i diagrams. In all the colour-colour plots, stellar and galactic loci are clearly distinguishable, even if partly overlapped, and are located in the corresponding colour regions of the comparison distributions and of the models depending on age and temperature (for galaxies and stars, respectively: see Bianchi et al. 2007, 2011; Article number, page 7 of 15
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Galaxy Star White Dwarf AGN Intermediate Uncertain
16 -1 0
Fig. 4. U−B versus B−V diagram. Symbols and colours are defined as in Figure 3 and shown in the legend. Small black dots represent the whole XMM-SUSS diagram of (Page et al. 2012).
Fig. 6. XMM-OM UVM2 magnitudes versus GALEX NUV magnitudes diagram. The dashed line indicates the equality of the two magnitudes. Error bars represent one standard-deviation photometric uncertainty.
Galaxy Star White Dwarf AGN 4
Fig. 5. UVW1−B versus B−I diagram, in comparison with similar colour-colour plot by Bianchi et al. (2007), their Figure 5. Symbols and colours are defined as in Figure 3 and reported in the legend.
Page et al. 2012, and the references therein). The subset of “intermediate” sources (e.g. optically diluted AGN) is distributed within the entire galactic locus: besides the redshift dependence, this is also due to the optical contamination of the host galaxies (see Section 3.2). Subsidiary information about the sources were derived by matching the catalogue with other CDF-S surveys, following the cross-correlation procedure of Section 2.3. The GALEX obserArticle number, page 8 of 15
vations provide 957 counterparts within a maximum distance of 2.5 arcsec (877 good sample cross-identifications). The incidence of false matches is estimated to be about 8.9%, while the incompleteness corresponding to the possible sources farther than the cross-correlation radius is ≤5.4%. There are 13 XMM-OM or GALEX sources with two cross-identifications, and the most likely was attributed for each of them. However, we added a reference to the alternative identification in the main catalogue. We notice that, while it could be expected that all the sources detected by XMM-OM are also found by GALEX, owing to the wider field of view and deeper detection limit, ∼15% of them are missing in the cross-correlation. This could be due to the GALEX photometry in crowded regions, where nearby sources could be interpreted as a merged one with the attribution of wrong coordinates. Examples are reported in Simons et al. (2014) or Bianchi (2014). This cross-correlation is useful both for integrating the UV spectral coverage of the sources and for comparing the XMM-OM photometry to the GALEX measurements, in order to examine the calibration of the instrument (see Talavera 2011). Regarding the latter purpose, the most suitable comparison can be made by plotting the XMM-OM UVM2 average photometric measurements as a function of the GALEX NUV photometry (Figure 6), because the effective wavelength and the wavelength range of these filters are nearly coincident, even though the two filters have very different shapes. The dispersion in the NUV-UVM2 distribution is partly to be attributed to the relatively high XMM-OM photometry uncertainties at fainter magnitudes, while the possible contamination of false cross-identifications may account for the presence of outliers. As a whole, the UVM2 and NUV photometric estimates are in good agreement, confirming the validity of the XMM-OM calibration. Similar trends are found by comparing the XMM-OM U, B, and V measurements with the EIS photometry in the corresponding bands (Figure 7), which are characterised by almost equal
M. Antonucci et al.: XMMOMCDFS catalogue. 26
Fig. 7. U, B, V comparison of the XMM-OM magnitudes with the corresponding EIS magnitudes. The dashed lines indicate equality of the magnitudes. Error bars represent one standard deviation photometric uncertainties.
wavelength ranges and effective wavelengths (Arnouts et al. 2001). At bright magnitudes, the U and B bands show small systematics, probably because of the differences in the effective wavelengths and shape of the filters. While the COMBO-17 survey provides useful photometric estimates of z, it is possible to attribute spectroscopic redshifts to the sources of the catalogue by cross-correlating the Arizona CDFS Environment Survey. We obtained 751 ACES counterparts with secure10 redshift estimate (only one double crossidentification), 694 of which referred to the good subsample, within a maximum distance of 1 arcsec. The possible contamination of spurious matches is 1.2%, while the maximum incompleteness is estimated to be 4.9%. The spectroscopic estimates of z for other 191 sources (173 good sample objects) have been extracted from the ESO CDF-S Master Catalogue, version 3.0, considering only the best match for each source. Similar to the ACES counterparts, we considered only the reliable determinations, selecting them by means of the quality flags attributed in each of the references that make up the ESO CDF-S Master Catalogue. The probability of false identifications is 2.5%. The overall redshift distribution of the extragalactic sources in the good subsample is shown in Figure 8. The double peak in the redshift distribution is also present in the ACES survey (Cooper et al. 2012, their Figure 5), and is partially to be attributed to a largescale structure in the CDF-S. In fact, Trevese et al. (2007a) and Salimbeni et al. (2009) found evidence of an over-density at redshift ∼0.7, which corresponds to one of our peaks. Figure 9 rep-
Fig. 8. Spectroscopic redshift distribution of the extragalactic sources in the good subsample. The dashed histogram refers to the complete subset. Continuous histograms refer to galaxies (blue), AGN (red), intermediate sources (green), and uncertain/unclassified objects (black).
We only referred to the estimates denoted by ACES quality code Q equal to -1 (stellar source), 3 (reliable at >90%), or 4 (reliable at >95%).
Table 4. Cross-identifications of the XMM-OM sources in the reference catalogues
Survey GALEX ACES Master Catalogue Chandra 4 Ms XMM-Newton
Radius 2.5 1.0 1.0 2.0 3.5
Cross-id 957 751 191 164 33
Good 877 694 173 158 31
Prob 8.9 1.2 2.5 4.1 12.1
Notes. Radius: match radius of the cross-correlation in arcsec. CrossID: total number of cross-identifications. Good: Cross-identifications of good subsample sources. Prob: probability of false matches.
resents the redshift as a function of the specific UV luminosity at 250 nm. In this case, only the sources whose SEDs include at least one measure in the interval 15.00
A&A proofs: manuscript no. Antonucci_final Table 5. Combined classification of the good subsample sources
Fig. 9. L250nm -z plane for the extragalactic objects. Symbols and colours are defined as in Figure 3 and reported in the legend.
cross-correlation with the 2-10 keV point-source catalogue by Ranalli et al. (2013) with a match radius of 3.5 arcsec only yields 33 X-ray counterparts (31 for the good subsample) with a 12.1% probability of false matches and an estimated incompleteness ≤13.2%. The sources detected both by Chandra and XMMNewton are 27. We notice that, notwithstanding the simultaneity of the X-ray and XMM-OM observations, only 33 out of 339 X-ray sources catalogued by XMM-Newton have UV counterparts in the catalogue. This is expected, because the catalogues by Ranalli et al. (2013) refer to the hard X-ray bands (2-10 keV, 5-10 keV), which are well suited to AGN and obscured objects, but less interesting for normal and star-forming galaxies, which constitute the large majority of our catalogue (see Section 3.2 and Table 5). Once we take the Chandra 4 Ms catalogue data into account, for instance, 158 sources are detected in the softband, 93 of which are galaxies (∼59%), while only 60 sources are detected in the hard band with only 14 galaxies (∼23%). Moreover, the small overlap between the XMMOMCDFS and 2-10 keV point-source catalogues is also partly due to the different size of the fields of view (about 140 X-ray sources fall outside the region covered by the XMM-OM observations), and partly has to be attributed to possible biases introduced by the data processing (selecting the QF0 detections and discarding the optical sources without UV measurements, which cause the loss of 35 cross-identifications). The total statistics of the cross-correlations with the reference CDF-S surveys is summarised in Table 4. 3.2. Combined classification of the sources. X-ray/UV ratio
The Chandra 4 Ms source catalogue provides an estimate of the likely source types of the objects, based on revealing possible X-ray emission properties (L0.5−8keV ≥3×1042 erg/s; photon index ≤1.0; log( fX / fR )>−111 ; X-ray emission at least three times 11
fX refers to the flux in one of the 0.5-8 keV, 0.5-2 keV, and 2-8 keV bands Article number, page 10 of 15
COMBO-17 862 11
Chandra 91a 61b
a.c. 814 11 50 119 37 1031
Notes. (a ): two sources with dubious classification — “Galaxy (Uncl!)” — in the COMBO-17 survey. (b ): 50 sources classified as galaxies in the COMBO-17 survey. (c ): white dwarfs (WDs) are classified separately only in the COMBO-17 survey. (d ): one absent source among the COMBO-17 counterparts. The last column (a.c.) refers to the classification adopted in producing Figures 3, 4, 5, 8, 9, 10, 11 and contained in column 96 of the catalogue (see Section 3.3). Intermediate sources are the objects classified as AGN in the Chandra 4 Ms source catalogue and as galaxies in the COMBO-17 survey. Objects with dubious classifications — “Galaxy (Uncl!)”, “Galaxy (Star?)”, “QSO (Gal?)”, “Strange Object” — or absent in the COMBO-17 survey are indicated as uncertain.
higher than the level corresponding to pure star formation12 ) and optical spectroscopic features (e.g. broad emission lines) that characterise the active galactic nuclei (Xue et al. 2011). Among 158 sources of the good subsample with Chandra X-ray counterparts, 61 are classified as AGN, even if 50 of them are photometrically estimated to be galaxies within the COMBO-17 survey (see Table 5). This disagreeing classification likely refers to faint AGN whose optical/UV emission is photometrically diluted by the host galaxy starlight, as suggested by some remarks: e.g. i) most of the sources are optically extended, presenting both EIS and COMBO-17 stellarity indexes ∼0 (the COMBO17 stellarity indexes of 39 objects are 0); ii) the 0.5-8 keV luminosity is <1042 erg/s for 23 objects, and in another 7 cases is <3×1042 erg/s. Moreover, the available spectroscopic analyses from the literature confirm the double COMBO-17/Chandra classification. Eleven out of 17 cross-identifications in Szokoly et al. (2004) are optically classified as “LEX’, which are galaxies that show unresolved emission lines that are consistent with HII region-type spectra, in which the possible presence of the AGN cannot be optically proved, while their X-ray luminosities have to be attributed to the AGN emission (“QSO-1”, “AGN1”, “AGN-2”); analogously. Seven out of 11 counterparts from Treister et al. (2009) are classified as emission line galaxies (“ELG”), absorption line galaxies (“ALG”), or unknown objects (“UNK”). The dilution of the nuclear emission lines by the host galaxy continuum indeed accounts for the considerable number of relatively faint X-ray sources that are classified as galaxies in the optical follow-up observations (Moran et al. 2002; Cardamone et al. 2007; Treister et al. 2009). To quantify the X-ray/UV ratio of the objects with X-ray Chandra counterparts, we computed the X-ray-to-optical index, αox =log(L2keV /L250nm )/ log(ν2keV /ν250nm ), as a function of the logarithmic UV specific luminosity at 250 nm, as is usually done when analysing samples of AGN (e.g. Strateva et al. 2005; Just et al. 2007; Gibson et al. 2008; Grupe et al. 2010; Lusso et al. 2010; Vagnetti et al. 2010, 2013). To estimate the nuclear 12
The X-ray emission attributed to starburst galaxies amounts to 8.9×1017 LR , where LR represents the rest-frame 1.4 GHz monochromatic luminosity in units of W/Hz (Alexander et al. 2005; Xue et al. 2011).
M. Antonucci et al.: XMMOMCDFS catalogue. 46 -1
42 Galaxy AGN Intermediate Uncertain nuclear L
Fig. 10. αox versus L250nm diagram. Blue triangles and upper limits represent galaxies, red squares indicate AGN, green circles and upper limits refer to intermediate sources, and black downward arrows represent the upper limits of the Chandra undetected sources. AGN and intermediate sources are marked by small black circles when referring to their nuclear luminosities. All these symbols are also shown in the legend. Green symbols without the black circles refer to the total luminosities of intermediate sources for which it was not possible to determine the nuclear components; a correction performed as in Vagnetti et al. (2013) would shift such sources in the upper left direction with slope ∼0.38. For some of the intermediate sources, black upward vertical arrows indicate the correction for the X-ray absorption based on the available Xray spectra from the XMM-CDFS Deep Survey. The straight lines refer to the best fit αox -L250nm relations by Just et al. (2007) (continuous) and Lusso et al. (2010) (dotted) for AGN, as reference.
contribution of the luminosity at 250 nm, we adopted a twocomponent fit of the XMM-OM rest-frame SEDs for AGN and part of the intermediate sources. The fitting SED includes a host galaxy starlight component ∝ν−3 , added to an AGN component shaped as the average SED of Richards et al. (2006). The details are described in Vagnetti et al. (2013) (see also a similar procedure in Lusso et al. (2010)). For galaxies, intermediate sources whose nuclear emission is found to be totally negligible through the two-component fit, and for uncertain objects, log L250nm is computed by interpolating or extrapolating the SEDs through a power law of the same slope as the one between the lowest frequency rest-frame luminosity measures. Only the SEDs that include data within the interval 15.00
Fig. 11. LR versus L2−8keV diagram. Dashed lines indicate, from left to right, the ratios log(X/R)=−1, log(X/R)=0, and log(X/R)=+1. Red, green, and blue symbols are defined as in Figure 10, and reported in the legend. All the intermediate source LR estimates refer to their total luminosities.
Figure 10 shows the αox versus log L250nm of AGN, galaxies, intermediate sources, and uncertain objects. As a reference, we show the best-fit relations for AGN by Just et al. (2007) and Lusso et al. (2010) (not corrected for the host galaxy contribution). We note that i) the distributions of AGN and galaxies are completely separated: the galaxy αox estimates are on average ∼one unit lower than the AGN reference relations, corresponding to X-ray luminosities ∼102 -103 times lower than the average levels expected for active galactic nuclei; ii) most of the uncertain objects are low-luminosity sources and are close to the galaxy locus; iii) the intermediate sources are distributed on a wide region between the AGN and galaxy loci, partly overlapping them. This appears to be due to the different ratios between the AGN and host galaxy optical/UV continua of the sources. The host galaxy contamination on the average αox -log L250nm anti-correlation slope is discussed in Vagnetti et al. (2013). We point out that the estimates of log L250nm and αox correspond to the nuclear emission for the AGN and some of the intermediate objects (Figure 10), derived by the two-component fit of the SEDs, while are referred to the total UV luminosity for the other sources. Also after the subtraction of the optical/UV galaxy contribution, part of the intermediate sources are still far from the AGN locus. This can be due, at least in part, to X-ray obscuration for type-2 sources. For a few sources it has been possible, on the basis of the available spectra from the XMM-CDFS Deep Survey, to compute de-absorbed X-ray luminosities and corresponding αox estimates, which are indicated in the plot by arrows from the absorbed to the corrected values. This correction gives X-ray-tooptical index values close to the reference αox -L250nm relations. The intermediate sources can therefore be considered as AGN
The specific luminosities at 2 keV of the uncertain objects without Xray counterparts have been computed using specific 2-8 keV flux upper limits, evaluated as a function of their position within the Chandra field
of view (see Figure 25 by Xue et al. 2011); we only considered the sources whose specific UV luminosities are computable. Article number, page 11 of 15
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that are optically diluted by the host galaxy starlight and/or Xray absorbed objects, and these effects can explain their low Xray/UV ratio. The distributions of the different classes of objects can also be shown in a log LR versus log L2−8keV plot (Figure 11). The Rband luminosities are derived from the EIS magnitudes, while the X-ray luminosities are computed from the Chandra 2-8 keV fluxes. As expected (e.g. Alexander et al. 2002; Xue et al. 2011), the AGN are concentrated in the −1
In this section, we briefly present the columns that compose the UV main catalogue of the XMM-CDFS Deep Survey (Table 7), and the supplementary catalogue concerning the alternative identifications for CIF=3 sources (Table 8). The two tables are available in electronic form at the CDS. The columns of the main catalogue are listed in Table 6, while the supplementary Article number, page 12 of 15
0 Galaxy Star AGN Intermediate Uncertain
Fig. 12. The 8.0/4.5 µm flux ratio versus the 5.8/3.6 µm flux ratio. The small black dots refer to the SWIRE sample analysed by Vaccari et al. (2010, and 2014 in preparation). The largest symbols represent the XMMOMCDFS sources with available IR data from the previous sample, with the same meaning as the symbols in Figure 3. In addition, the crosses indicate X-ray variable sources according to Paolillo et al. (2004, and 2014 in preparation). Symbols are also reported in the legend.
catalogue contains a subset of them, specified at the end of the section. Column 1 is a reference sequential source number, arbitrarily assigned to the object (Cat_srcnum). Column 2 contains the name of the source (Cat_srcname). Columns 3-4 are the right ascension and declination of the object in decimal degrees, computed by averaging the mean coordinates of the detections in each UV band (Tot_UV_RA, Tot_UV_Dec). Columns 5-76 provide the average astrometry, detection significance, and photometry of the measurements in each filter (f); in particular, f_OBS/STACK states whether the source has been detected on individual observations (o) or stacked images (s); f_RA and f_Dec refer to the average coordinates of the detections in decimal degrees; f_POSERR is the 1-σ mean position uncertainty in arcsecs; f_SIGNIF gives the average significance of the detections; f_CR and f_CR_ERR represent the mean count rate and the corresponding uncertainty; f_AB_FLUX and f_AB_FLUX_ERR are the mean flux density (corresponding to the effective wavelength of the f band) and its uncertainty; f_AB_MAG and f_AB_MAG_ERR give the average AB magnitude and its uncertainty; f_GroupSize refers to the number of individual observations (or stacked images) in which the source has been detected (without bad quality flags). Columns 77-78 refer to the name of the EIS crossidentification in the shortest wavelength available band (objID_EIS) and the name of the corresponding filter (EIS_filter).
M. Antonucci et al.: XMMOMCDFS catalogue. Table 6. Column names in the XMMOMCDFS catalogue
Columns 79-80 give the sequential number of the COMBO17 cross-identification (objID_COMBO) and the corresponding photometric classification14 (Class_COMBO). CIF (column 81) is defined in Section 2.3 and refers to the reliability of the identification within the EIS and the COMBO17 survey15 . Columns 82 gives the GALEX source-number (objID_GALEX). Columns 83-88 refer to the Chandra 4 Ms source catalogue counterpart: objID_Chandra is the source identification; Full_FLUX_Chandra, Soft_FLUX_Chandra, and Hard_FLUX_Chandra are the observed frame fluxes16 in the 0.5-8 keV, 0.5-2 keV, and 2-8 keV bands, in units of erg/s/cm2 ; Pind_Chandra is the effective photon index; Class_Chandra is the combined X-ray/optical classification of the source17 (see Section 3.2). Columns 89-90 are the entry numbers of the XMM-Newton 2-10 keV point-source catalogue counterpart (objID_XMM) and the 2-10 keV flux (FLUX_XMM) in units of erg/s/cm2 . 14
G: Galaxy; S: Star; WD: White Dwarf; Q: AGN; G/U: Galaxy (Uncl!); G/S: Galaxy (Star?); Q/G: QSO (Gal?); S.O.: Strange Object. 15 The values 1, 3, and 4 indicates the sources with no unique crossidentification, analogously to the notes related to the cross-correlations with the other CDF-S surveys (Column 97). 16 Negative values indicate upper limits of the corresponding fluxes. 17 G: Galaxy; S: Star; A: AGN.
Columns 91 gives a spectroscopic estimate of redshift (z_spect) obtained from the Arizona CDFS Environment Survey or the ESO CDF-S Master Catalogue; column 92 (z_spect_ref) flags the reference from which the redshift estimate is derived18 . Columns 93-95 are the log of the specific luminosity at 250 nm (logL250nm), the log of the specific luminosity at 2 keV (logL2keV), and the αox estimate (X-ray-to-optical index) of the UV source with X-ray counterpart from the Chandra 4 Ms source catalogue. Columns 93 and 95 refer to the total emission of the source, without extracting the nuclear component. Column 96 gives the combined classification19 (Adopted_Class). Finally, ambiguous COMBO-17, GALEX, Chandra, XMMNewton, or ACES cross-identifications are noted in column 97 (Notes). The sequential number of the alternative, discarded identification is reported in parentheses. We notice that ACES adopts the same sequential numbers as COMBO-17. Concerning the supplementary catalogue (Table 8), its first two columns are the sequential number and name of the sources already described for the main catalogue, but both include an 18
A: ACES (Cooper et al. 2012). For the ESO CDF-S Master Catalogue we refer to the specific surveys: L (Le Fèvre et al. 2005), M (Mignoli et al. 2005), P (Popesso et al. 2009; Balestra et al. 2010), Si (Silverman et al. 2010), Sz (Szokoly et al. 2004), V (Vanzella et al. 2008). 19 G: Galaxy; S: Star; WD: White Dwarf; Q: AGN; I: Intermediate; U: Uncertain/unclassified. Article number, page 13 of 15
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additional letter that indicates the alternative XMM-OM identification(s) associated with the same EIS/COMBO-17 source (CIF=3). None of these alternative identifications have UVW2 measurements; however, the corresponding columns are also reported in the supplementary catalogue to maintain the same numbering. This catalogue contains 44 alternative identifications for 38 EIS/COMBO-17 sources in total and is limited to the columns 1-76, with the same meaning as in the main catalogue.
4. Discussion The XMMOMCDFS catalogue was compiled to provide complementary UV photometry of known sources in the Chandra Deep Field-South. These observations have the advantage of a better spatial resolution compared to GALEX and a wider field of view with respect to HST. The comparison of XMM-OM with GALEX and EIS magnitudes in similar bands confirms the validity of the XMM-OM calibration. The XMM-OM data allow a better characterisation of the SED of the sources in the UV domain, at wavelengths between the GALEX bands and the visible region, also complementing multi-wavelength studies of the SEDs from the IR to the X-ray bands. The catalogue contributes to the detection of fainter sources than those already present in the archival source lists corresponding to the individual observations, through the stacking of exposure images from groups of consecutive observations. The additional sources detected through the stacking are ∼31% of the total number in each UV band, corresponding to an increase of ∼45% with respect to the sources detected and validated within the individual observations. The catalogue includes 1129 sources, 1031 of which compose the subset of reliable cross-identifications (“good subsample”): ∼79% of the sources in the good subsample are galaxies, while ∼6% are classified as AGN or intermediate sources. The latter are optically classified as galaxies by the COMBO-17 survey, while showing AGN-like X-ray properties. The analysis of their optical/UV SED allowed us to distinguish galactic and nuclear components for many of these sources. They appear to be AGN that are optically diluted by the dominant host galaxy starlight. Moreover, the available optical spectra provided by the spectroscopic surveys show ambiguous characteristics, i.e. narrow and weak emission lines, which could be attributed to lowluminosity AGN or star formation activity. Part of the intermediate sources are also to be considered as obscured AGN, and for a few of them it has been possible to evaluate their corrected nuclear X-ray fluxes, so estimating standard X-ray/UV ratios. Further confirmation of the AGN nature of these objects and/or the selection of variable candidates among the galaxy population may be obtained through a UV variability analysis, which could provide additional evidence of AGN activity for some of the sources and a characterisation of the properties of the UV variability itself through the use of the structure function. A preliminary analysis limited to the UVW1 band yields 12 variable candidates. In a future work, we will more completely analyse the UV (and optical) variability of our sources on the basis of the 33 available XMM-OM observations. This will allow us to select AGN candidates by means of their variability, analogously to previous (Trevese et al. 2008a; Gezari et al. 2013) and ongoing (De Cicco et al. 2014; Falocco et al. 2014) works. In particular, the efficiency of variability observations has been discussed for selecting AGN candidates with extended images (as could be for many of our intermediate sources), which would not be selected by colour or other criteria (Bershady et al. 1998; Trevese et al. 2008a). The time sampling of the light curves of many of the catArticle number, page 14 of 15
alogued sources is well suited to investigating their possible variable character. We will complement this with other variability information already present in the CDF-S from optical (Trevese et al. 2008a), UV (Gezari et al. 2013), or X-ray (Young et al. 2012) observations. The variability of the sources will also be examined in terms of the X-ray/UV ratio in a companion paper devoted to the structure function analysis of the X-ray-to-optical index for a subsample of AGN and intermediate sources. Acknowledgements. We acknowledge funding from PRIN/MIUR-2010 award 2010NHBSBE. We acknowledge support from the Italian Space Agency under the contract ASI/INAF/009/10/0/1 and by the Italian National Institute for Astrophysics (INAF) through PRIN-INAF 2011 (“Black hole growth and AGN feedback through the cosmic time”). M.A. acknowledges the hospitality by the European Space Astronomy Centre during Autumn 2013, while part of this work was being done. We thank Luciana Bianchi for useful advise and discussion about the GALEX data. We also thank the referee for valuable remarks and comments. This research has made use of data and/or software provided by the High Energy Astrophysics Science Archive Research Center (HEASARC), which is a service of the Astrophysics Science Division at NASA/GSFC and the High Energy Astrophysics Division of the Smithsonian Astrophysical Observatory.
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