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THE ChaMPlane BRIGHT X-RAY SOURCES—GALACTIC LONGITUDES l = 2°–358°

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Published 2012 March 2 © 2012. The American Astronomical Society. All rights reserved.
, , Citation Maureen van den Berg et al 2012 ApJ 748 31 DOI 10.1088/0004-637X/748/1/31

0004-637X/748/1/31

ABSTRACT

The Chandra Multi-wavelength Plane (ChaMPlane) survey aims to constrain the Galactic population of mainly accretion-powered, but also coronal, low-luminosity X-ray sources (LX ≲ 1033 erg s−1). To investigate the X-ray source content in the plane at fluxes FX ≳ 3 × 10−14 erg s−1 cm−2, we study 21 of the brightest ChaMPlane sources, viz., those with >250 net counts (0.3–8 keV). By excluding the heavily obscured central part of the plane, our optical/near-infrared follow-up puts useful constraints on their nature. We have discovered two likely accreting white dwarf binaries. CXOPS J154305.5–522709 (CBS 7) is a cataclysmic variable showing periodic X-ray flux modulations on 1.2 hr and 2.4 hr; given its hard spectrum the system is likely magnetic. We identify CXOPS J175900.8–334548 (CBS 17) with a late-type giant; if the X-rays are indeed accretion powered, it belongs to the small but growing class of symbiotic binaries lacking strong optical nebular emission lines. CXOPS J171340.5–395213 (CBS 14) is an X-ray transient that brightened ≳100 times. We tentatively classify it as a very late type (>M7) dwarf, of which few have been detected in X-rays. The remaining sources are (candidate) active galaxies, normal stars and active binaries, and a plausible young T Tauri star. The derived cumulative number density versus flux (log N–log S) relation for the Galactic sources appears flatter than expected for an isotropic distribution, indicating that we are seeing a non-local sample of mostly coronal sources. Our findings define source templates that we can use, in part, to classify the >104 fainter sources in ChaMPlane.

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1. INTRODUCTION

The Galactic population of low-luminosity X-ray sources (LX ≲ 1033 erg s−1) includes normal and active single stars and binaries, pre-main-sequence (PMS) stars, millisecond pulsars, and close binaries containing accreting compact objects (white dwarfs in cataclysmic variables (CVs); neutron stars and black holes in quiescent high- and low-mass X-ray binaries (qHMXBs; qLMXBs)). Due to sensitivity constraints of previous surveys, little is known about the distribution of these sources on Galactic scales, or about rare sources for which one needs to sample a large volume to study them as a class. With XMM-Newton and especially Chandra, which combine sensitivity with excellent spatial resolution, existing imaging Galactic X-ray surveys (e.g., Hertz & Grindlay 1984) can be extended with two to three orders of magnitude higher sensitivity down to 10−15 erg s−1 cm−2 and with precise searches for counterparts at other wavelengths. This is what drives several ongoing campaigns, like the XMM-Newton Galactic Plane Survey (XGPS; Hands et al. 2004) and our own Chandra Multi-wavelength Plane (ChaMPlane) survey (Grindlay et al. 2005). Such surveys are important for understanding the X-ray emission from galaxies. What was previously observed as a diffuse "band" of X-ray emission along the plane (the Galactic Ridge X-ray Emission or GRXE) has, for a significant part, been resolved into discrete sources (about 50% at 3 keV above 10−16 erg s−1 cm−2 (0.5–7 keV); Revnivtsev et al. 2009). As the GRXE and the diffuse X-rays from non-starburst galaxies have similar properties (Revnivtsev et al. 2008), a substantial point-source component is also implied for the latter. But only in our own Galaxy can we study individual sources, as no observatory in the foreseeable future is able to resolve the faint X-ray emission from other galaxies.

The main goal of ChaMPlane is to constrain the Galactic distribution of faint accretion-powered sources (mainly CVs); the secondary goal is to perform a deep survey of stellar coronal sources. We systematically process Chandra Advanced CCD Imaging Spectrometer (ACIS; Garmire et al. 2003) pointings in the plane to analyze serendipitous detections, and perform optical and near-infrared (NIR) follow-up for source classification. Whereas the XGPS studies a specific, approximately 3 deg2 region of the plane between Galactic longitudes l = 19° and 22°, ChaMPlane uses archival data without any restrictions on longitude. By now, our coverage is about 7 deg2 and incorporates our dedicated surveys of low-extinction bulge regions ("Windows Survey"; e.g., van den Berg et al. 2009; Hong et al. 2009) and of a latitudinal strip around the Galactic center (GC; "Bulge Latitude Survey"; J. E. Grindlay et al. 2012, in preparation). Our focus on the bulge is driven by trying to uncover the nature of the thousands of hard inner-bulge sources that are believed to be accreting compact objects—the largest such population in the Galaxy (see, e.g., Muno et al. 2009).

Most of our sources are detected with only a few tens of counts or less. Here we want to highlight the brightest ChaMPlane sources, for which we can study the X-ray spectra and light curves in more detail. Not only does this sample include objects that are worth further investigation on their own account, but it also allows us to study the typical content and flux distribution of sources covered by the high-flux end of our survey (FX ≳ 3 × 10−14 erg s−1 cm−2), and define characteristic source types to be used as templates for the many faint sources in our database. Despite our focus on the bulge, for a survey like ChaMPlane this region also has its disadvantages. The high stellar density complicates source identification in the optical/NIR. Moreover, the severe extinction along the line of sight restricts a priori the detection of intrinsically faint (in the optical/NIR) objects like CVs to a few kiloparsecs, as illustrated by our CV discoveries in a few central-bulge fields (Koenig et al. 2008). Therefore, we defer the study of our brightest sources toward the central part of the Galaxy to a future paper. Here we exclude the central ±2° around the GC.

In Section 2, we describe the sample selection and data analysis. We present the sources by class in Section 3. In Section 4, we place a few individual sources in a broader context and consider the sample as a whole. Preliminary results were reported in Penner et al. (2008).

2. SAMPLE SELECTION AND DATA ANALYSIS

At this writing, the ChaMPlane X-ray source catalog contains ∼15,000 sources from archival ACIS imaging data at Galactic latitudes | b | < 12° that meet the primary criteria established in Grindlay et al. (2005): preferably ACIS-I exposures (for the larger field of view) with exposure times ≳ 20 ks and without bright or extended targets that limit the sensitivity to serendipitous detections. Our preference for fields with a minimal column density NH is almost impossible to realize in the bulge. In Section 2.1, we summarize the additional criteria adopted to select a bright-source sample, and we explain the X-ray and optical/NIR data analysis in Sections 2.2 and 2.3. General classification guidelines are outlined in Section 2.4. Cross-correlation of the sample with other X-ray catalogs is described in Section 2.5.

2.1. Sample Selection Criteria

Three selection rules define the current sample. First, the number of net counts between 0.3 and 8 keV (our BX band) has to exceed 250 so that a meaningful fit to the X-ray spectrum can be made. Second, to keep positional errors small, a source cannot lie too far from the aimpoint. We only select detections on CCDs I0–I3 and CCD S3 for observations that use the ACIS-I and ACIS-S aimpoint, respectively.5 For a source with 250 net counts or more, this results in 95% confidence radii that are ≲1farcs0 for aimpoint offset angles up to 10' (which covers the entire S3 chip and most, i.e., ∼92%, of the ACIS-I array) and up to 1farcs6 out to the extreme corners of ACIS-I. Positional errors are estimated using the empirical relation between the 95% confidence radius, net counts, and offset angle presented in Hong et al. (2005), which is based on extensive MARX simulations. Finally, we exclude the region within 2° of the GC to avoid the most crowded and obscured part of the plane. A total of 63 observations covering 3 deg2 satisfy this criterion. Zhao et al. (2005) include a list of our fields that cover these observations; a few more were added recently, but most of these lie within 2° of the GC and would not have been considered for the present study. The only field that is included here but is not listed in Zhao et al. (2005) is located at (l,b) = (148fdg19,+0fdg81) and was covered by an ACIS-S observation.

Our final sample contains 21 sources from 14 single observations and 2 stacked fields that each consist of 2 overlapping observations added together to increase sensitivity (Hong et al. 2005 give details of our stacking procedure). Table 1 lists the sources in order of increasing right ascension and summarizes the basic properties. Figure 1 shows their distribution in the plane. For convenience we use the acronym CBS (ChaMPlane bright source) to designate the sources in the text instead of their CXOPS name (Column 2 of Table 1).

Figure 1.

Figure 1. Distribution of the fields from which we selected the bright sources. Filled circles are the fields that include targets from Table 1. The symbol size scales with the exposure time, which has a maximum GTI value of 106.2 ks.

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Table 1. The Sample of Bright Sources

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13)
CBS CXOPS J ObsID- Date Obs. Texp NH22, Gal r95 θ Net Counts FX, lim Opt Other 2XMM J
    aimpoint   (ks) (cm−2) ('') (')     ID? ObsID?  
1 061759.2 + 222738 04675-S 2004 Apr 12 58.3 0.22 0.31 1.24 318 ± 19 5.3 + 061759.1+222738
2 102801.4 − 435107 03569-S 2003 May 23 26.5 0.07 0.40 4.06 258 ± 17 7.7 + + 102801.4−435106
3 104814.2 − 583051 03842-S 2003 Oct 8 35.5 0.76 0.31 1.03 520 ± 24 16.0 + 104814.0−583051
4 111108.1 − 603657 02782-S 2002 Apr 8 48.8 1.08 0.52 6.34 331 ± 20 12.4 +
5 111149.5 − 604158 02782-S 2002 Apr 8 48.8 1.15 0.32 2.41 899 ± 31 12.4 + 111149.6−604157
6 154204.8 − 522400 00090-I 2000 Apr 8 23.6 1.09 0.36 3.24 351 ± 20 31.9 + 154205.0−522400
7 154305.5 − 522709 00090-I 2000 Apr 8 23.6 1.26 0.53 7.41 669 ± 27 31.9 + 154305.5−522709
8 155052.4 − 562608 05190-S 2003 Oct 23 47.7 0.58 0.33 2.77 491 ± 23 10.5 + + 155052.8−562609
9 155226.8 − 561704 01965-S 2001 Aug 18 55.6 0.60 0.37 3.66 360 ± 20 7.8 + 155227.1−561702
10 170000.9 − 265905 01861-I 2001 Jul 4 32.3 0.14 0.46 7.52 2055 ± 46a 11.6 +
11 170905.5 − 443140 04608-I 2004 Feb 1 97.2 0.91 0.63 7.55 299 ± 19 6.7 + 170905.5−443138
12 170928.2 − 442916 04608-I 2004 Feb 1 97.2 0.89 0.34 2.92 395 ± 21 6.7 + + 170928.1−442915
13 170938.2 − 442255 04608-I 2004 Feb 1 97.2 0.91 0.46 5.72 362 ± 20 6.7 170938.1−442253
14 171340.5 − 395213 05559-I 2005 Apr 19 9.5 1.86 0.32 3.31 1740 ± 43a 117 +
15 171440.6 − 400234 00737-I 2000 Jul 25 38.2 1.07 0.68 8.29 356 ± 21 23.3 171440.7−400232
16 171537.1 − 395559 00737-I 2000 Jul 25 38.2 1.23 0.40 4.42 327 ± 19 23.3 171537.0−395559
17 175900.8 − 334548 04586-S 2004 Jun 25 44.1 0.39 0.38 4.25 546 ± 24 10.3 + 175900.7−334547
18 184355.1 − 035830 02298-I 2001 May 20 96.6 5.82 0.52 7.03 520 ± 24 20.5 +
19 184421.1 − 035706 949-I, 1523-Ib 2000 Feb 24 94.8 5.70 0.89 9.35 256 ± 18 23.6 +
20 222833.4 + 611105 1948-I, 2787-Ib 2001 Feb 14 106.2 0.40 0.47 5.49 284 ± 18 4.8 +
21 235841.7 + 623437 02810-I 2002 Sep 14 48.8 0.28 0.56 8.50 1168 ± 35 9.1 +

Notes. Columns: (1) source number; (2) source name; (3) observation identification number and aimpoint; (4) date of start observation; (5) exposure time (GTI); (6) integrated Galactic column density in the direction of the source from Drimmel et al. (2003) in units of 1022 cm−2; (7) radius of the 95% error circle; (8) angular offset from the aimpoint; (9) net counts (0.3–8.0 keV); (10) flux limit in units of 10−14 erg s−1 cm−2 (0.3–8 keV, unabsorbed) for a source at the aimpoint that corresponds to a minimum of 250 net counts, for a power-law spectrum with Γ = 1.7 and NH = NH, Gal (see Column 6); (11) flag for the detection of a candidate optical counterpart; (12) flag for the detection in other ACIS pointings in our database. The associated ObsIDs are for CBS 2: 835; CBS 8: 1845, 1846, 3672, 3807; CBS 12: 757; CBS 18: 949, 1523; and (13) potential 2XMM counterpart. aNot corrected for pileup. bThe source is detected in the stack of two observations. Exposure time, net counts, r95, offset angle, and flux limit refer to the properties derived from the stacked data.

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2.2. X-Ray Analysis

Hong et al. (2005, 2009) explain the ChaMPlane pipeline for processing the ACIS data. We refer to those papers for details on source detection, and the computation of net source counts and 95% confidence radii on source positions (r95). We compute energy quantiles Ex following the method described in Hong et al. (2004), which allows us to study the time-resolved spectral properties of our sources.

For each source we create a background-subtracted light curve with the CIAO tool dmextract. Counts are extracted from a region that includes 95% of the energy at 1.5 keV; the background is estimated from a source-free annular region centered on the source position. A Kolmogorov–Smirnov (K-S) test on photon arrival times indicates that three sources may be variable (probability for a constant count rate pK-S < 1%). Since the K-S test is only a rough guide to source variability, we follow up with visual inspection of each light curve. We thus identify CBS 7 as a possible fourth variable (pK-S = 26%). The variability of these sources is further discussed in Section 3.

We use psextract to extract spectra from the same regions used to measure the net source counts, and generate rmf and arf response files for the source and background regions. For the purpose of fitting, spectra are grouped with at least 20 counts bin−1 in order to use the χ2 statistic. Data that have accumulated in the ChaMPlane archive have been processed with various CIAO versions and calibration files. For consistency, we use the more recently calibrated data from the Chandra archive (processed with CIAO 3.4/CALDB 3.30) for the spectral analysis of all sources. Spectra are fitted within Sherpa6 version 4.3 to a non-thermal and two thermal models: a power law (the powlaw1d model), thermal bremsstrahlung (xsbremss), and a MeKaL model for an optically thin thermal plasma appropriate for stellar coronae (xsmekal). For the MeKaL model, we fitted one- (1T) and two-temperature (2T) plasmas, and treated the global metal abundance Z as a fit parameter or fixed it to the solar value. We only adopt the results of the variable-Z or 2T model if fitting for the extra parameters significantly improves the fit;7 based on this criterion a 2T model turns out to be warranted for three sources. We account for an absorbing column density NH using the xsphabs model. For each source, the best-fit model is presented in Table 2. All errors quoted correspond to 68% (1σ) confidence intervals, computed with the confidence method inside Sherpa. For CBS 20, we report the results of fitting the spectrum of ObsID 2787 only, which constitutes ∼95% of the total spectrum.

Table 2. Parameters of the Best Model Fits to Chandra Spectra

Power-law model
CBS Γ NH, X Z/Z F0.3-8, u F2-8, u χ2ν/dof
    (1022 cm−2)   (10−14 erg s−1 cm−2) (10−14 erg s−1 cm−2)  
1 1.7+0.4− 0.3 0.7 ± 0.3 N/A 9.3 ± 0.6 5.0 ± 0.3 1.60/12
2 1.9 ± 0.3 0.15 ± 0.09 N/A 8.5 ± 0.6 3.8 ± 0.3 1.82/8
7 1.0 ± 0.1 0.2 ± 0.1 N/A 51 ± 2 40 ± 2 0.94/28
9 0.7 ± 0.3 2.2 ± 0.8 N/A 21 ± 1 18 ± 1 0.93/14
13 2.0 ± 0.5 6.2 ± 1.6 N/A 36 ± 2 16 ± 1 1.26/15
15 1.9 ± 0.4 1.5 ± 0.4 N/A 41 ± 2 19 ± 1 0.74/14
16 0.9 ± 0.3 0.9 ± 0.6 N/A 23 ± 1 18 ± 1 1.29/11
17 0.8 ± 0.2 1.0 ± 0.3 N/A 52 ± 2 43 ± 2 0.91/23
18 −0.26 ± 0.4 2.1+1.5− 1.3 N/A 23 ± 1 22 ± 1 1.47/22
Thermal models
CBS kT NH, X Z/Z F0.3-8, u F2-8, u χ2ν/dof
  (keV) (1022 cm−2)   (10−14 erg s−1 cm−2) (10−14 erg s−1 cm−2)  
3 0.60 ± 0.07 0.11 ± 0.04 0.04 ± 0.01 10.6 ± 0.5 0.39 ± 0.02 0.89/20
4 4 ± 1 0.22 ± 0.06 ≡1 7.1 ± 0.4 3.8 ± 0.2 1.11/12
5 0.18 ± 0.02, 0.58 ± 0.07 0.46 ± 0.07 ≡1 80 ± 3 0.24 ± 0.01 1.10/28
6 0.7 ± 0.1 0.13 ± 0.11 0.10+0.07− 0.04 17 ± 1 0.70 ± 0.04 1.05/11
8 5.5+2.3− 1.3 0.25 ± 0.08 N/A 11.1 ± 0.5 6.0 ± 0.3 1.02/18
10 0.31 ± 0.05, 1.08 ± 0.04 <0.05 0.18 ± 0.03 67 ± 1a 6.7 ± 0.2a 1.47/57
11 0.9 ± 0.1 <0.07 0.11 ± 0.06 3.0 ± 0.2 0.25 ± 0.02 0.82/10
12 0.8 ± 0.1 <0.18 0.07 ± 0.05 3.5 ± 0.2 0.22 ± 0.01 0.74/12
14 0.9 ± 0.1, 2.5 ± 0.3 <0.02 0.5+0.3− 0.2 340 ± 8a 112 ± 3a 1.01/28
19 4+2− 1 0.7 ± 0.3 ≡1 5.7 ± 0.4 2.8 ± 0.2 0.81/10
20 1.0+0.1− 0.2 <0.29 0.04+0.06− 0.03 2.6 ± 0.1 0.31 ± 0.02 0.94/6
21 0.79 ± 0.03 <0.02 0.10 ± 0.02 22.3 ± 0.7 1.50 ± 0.05 1.42/41

Notes. Top: sources with spectra that are best fit with a power law. Bottom: sources with spectra that are best fit with a thermal model, which is a 1T or 2T MeKaL plasma except for CBS 8 where thermal bremsstrahlung provides a better fit. From left to right: source number; photon index Γ or plasma temperatures kT; column density; metal abundance (only for MeKaL models); unabsorbed flux in the 0.3–8 and 2–8 keV bands; reduced χ2 and degrees of freedom. Maximum values for NH, X correspond to 1σ upper limits. Errors on the flux only take into account the statistical error in the net counts (Table 1). aAfter correcting for pileup. The fluxes for CBS 14 are very uncertain given the high pileup fraction; see the text.

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CBS 10 and 14 are piled up by 6% and 30%, respectively. We corrected the count rates accordingly, but the correction for CBS 14 is quite uncertain.8 To make sure that the spectral fits are not affected by pileup, we excluded events from the central source regions with radius r. By trying different values of r, we found that r = 1.5 (CBS 10) and r = 2.0 (CBS 14) pixels are adequate (i.e., larger values give the same fit results) leaving 90% and 50% of the detected events available for spectral fitting. Energy fluxes were computed by applying the derived count rate-to-flux conversion factors to the pileup-corrected count rates. For CBS 10 the 2T MeKaL fit seems to systematically underestimate the count rate in the highest energy bins between 2 and 4 keV even after removing a large core region. A third, hotter component may be needed to improve the fit.

Column 12 of Table 1 indicates whether a source is detected in a pointing included in our database other than the one listed in Column 3. By definition these additional detections have fewer counts. By comparing count rates and energy quantiles (0.3–8 keV) of each detection, we found that CBS 2, 8, and 12 are potentially long-term variables. This is discussed further in Section 3.

2.3. Optical/NIR Data and Analysis

Each ChaMPlane field is imaged through the VRI Hα filters using the Mosaic cameras on the KPNO-4 m and CTIO-4 m telescopes. Sequences of deep and shallow exposures provide coverage from R ≈ 12 to 24 with signal-to-noise ratio (S/N) ≳ 5. Our values for Hα − R colors are defined as the offset from the median Hα − R color of all stars in a given field; negative values mark an Hα excess flux. We tie the absolute astrometry of the Mosaic images to the International Celestial Reference System (ICRS) using stars in the USNO-A2 (Monet et al. 1998) or Two Micron All Sky Survey (2MASS; Skrutskie et al. 2006) catalogs with rms residuals to the fit of typically ≲ 0farcs1. The astrometric solution of Chandra images as a whole can be offset from the ICRS by up to 0farcs7 (90% uncertainty9). Without correcting for such a systematic offset, or boresight, positions of X-ray sources could be shifted with respect to those of their true optical counterparts with an amount that is much larger than r95, which would harm the optical identification. After correcting for the boresight, we cross-correlate the X-ray and optical source catalogs to look for candidate optical counterparts. The adopted 3σ search radius takes into account errors on the X-ray and optical positions as well as the boresight error. Zhao et al. (2005) describe the details of our optical imaging campaign, the image processing, computing the boresight correction, and the matching procedure.

ChaMPlane's spectroscopic campaign is still ongoing. For many of the candidate optical counterparts in Table 1, we have already obtained low-resolution (3–7 Å) optical spectra during various runs conducted between 2002 and 2010 with the FAST spectrograph on the FLWO-1.5 m telescope, the IMACS spectrograph on the 6.5 m Magellan Baade telescope, and the Hydra spectrographs on the WIYN-3.5 m and CTIO-4 m telescopes. The spectra are reduced and extracted with a combination of standard IRAF software and dedicated packages. We assign spectral types by comparison with spectral standards observed with a similar resolution (e.g., Jacoby et al. 1984). As a check we run the SPTCLASS code by J. Hernandez,10 which assigns spectral types by measuring the strength of certain absorption features. Both methods give consistent results.

In summary, of the 21 sources in our sample 17 have candidate optical counterparts, and in each case only a single match is found. Two of these (CBS 5 and 6) have very bright optical matches that are overexposed in the Mosaic images; for CBS 5, we use photometry from the literature. We have optical spectra for 12 of the 17 candidate counterparts. Table 3 lists the properties of all candidate counterparts. The optical/NIR color–color diagrams of Figure 2 are used for constraining luminosity classes and classifications when optical spectra are not available; see the discussion of individual sources in Section 3.

Figure 2.

Figure 2. Optical (left) and NIR (right) color–color diagrams showing the observed colors of the candidate counterparts (filled black symbols) connected with a dotted line to their dereddened colors (open symbols). Error bars are only plotted on the latter. The lengths of the reddening vectors are based on NH, X, with the solid thick part of the lines representing the 1σ errors. The slope of the vectors follows the extinction coefficients from Cardelli et al. (1989). As an example of extinction laws that are more appropriate for the bulge, we include (in green) a reddening vector based on Popowski et al. (2003) and Sumi (2004) (for the optical), and Nishiyama et al. (2008) (for the NIR). The gray area in the right panel marks the locus of classical T Tauri stars (CTTS; Meyer et al. 1997). Circles mark sources we classify as stars, squares are likely AGNs, and diamonds are likely accreting binaries. The counterpart for the candidate AGN CBS 9 is not plotted for clarity. The blue and red lines are the intrinsic colors of main-sequence stars and giants, respectively, taken from Johnson (1966), Bessell (1991), and Bessel & Brett (1988). Filled blue circles show the colors of late-type M dwarfs taken from Henry et al. (2004; spectral types M 8, M 9, M 9.5) and Cruz et al. (2003; spectral types M 9, L 0, L 1). The insets zoom in on crowded regions.

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Table 3. Optical and NIR Properties of the Candidate Optical Counterparts

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)
CBS dX–O dX–O Nran V R I Hα − R J H Ks Spectral Type
  ('') (σ)                  
1 0.19 0.96 0.02 22.9(2) 21.9(1) 20.3(1) −0.1(2) ... ... ... ...
2 0.36 1.53 0.04 19.2(1) 18.9(1) 18.4(1) 0.0(1) ... ... ... AGN (z = 1.78)
3 0.08 0.41 0.04 13.4(1) 12.5(1) 11.7(1) 0.0(1) 11.36(2) 10.86(3) 10.69(3) Mid K; EW ≈ −0.2 ± 0.2 Å
4 0.25 0.89 0.09 ... 17.3(1) ... −0.1(1) 15.26(6) 14.49(6) 14.29(7) Mid K; EW ≈ −3.4 ± 0.4 Åa
5 0.16 0.88 0.001 8.09b 7.95b 7.79b ... 7.66(3) 7.65(4) 7.62(3) O7.5III(n)((f))
6 0.42 1.97 0.10 ... ≲ 17c ... ... 10.73(3) 10.40(3) 10.35(3) ...
7 0.48 1.94 0.17 21.5(1) 20.9(2) 20.3(1) −0.5(2) ... ... ... ...
8 0.18 0.86 0.06 14.5(1) 13.3(1) 12.2(1) −0.1(1) 10.43(2) 9.57(2) 9.32(2) Early/mid K, filled-in Hα?
9 0.31 1.43 0.08 22.5(1) 20.9(1) 19.4(1) 0.0(1) ... ... ... ...
10 0.73 2.81 0.16 12.5(1) ... ... ... 9.80(3) 9.13(2) 8.95(2) ...
11 0.28 1.00 0.33 ... 14.0(1) ... −0.2(1) 12.23(3) 11.56(4) 11.44(4) Mid/late K; EW ≈ −1.1 ± 0.3 Å
12 0.17 0.99 0.13 ... 12.9(1) ... 0.1(1) 11.91(5) 11.58(4) 11.47(3) Early/mid K
14 1.38 2.88 0.50 21.6(1) 18.7(1) 16.6(1) 0.2(1) 13.40(3) 12.56(3) 12.10(3) ...
17 0.14 0.62 0.19 15.4(1) 14.0(1) ... −0.1(1) 11.01(3) 9.99(3) 9.72(3) K7–M1 III; EW ≈ −2.7 ± 0.4 Å
19 1.34 2.88 0.23 18.0(1) 16.2(1) 14.9(1) −0.1(1) 12.73(3) 11.72(3) 11.04(3) Young star; EW ≈ −6.6 ± 0.9 Å
20 0.60 2.25 0.04 15.6(1) 14.8(1) ... −0.1(7) 12.93(3) 12.28(3) 12.16(3) Early/mid K; filled-in Hα?
21 0.49 1.60 0.07 12.2(1) ... 11.3(1) ... 10.68(2) 10.23(3) 10.14(2) Mid G, early K; filled-in Hα?

Notes. Columns: (1) ChaMPlane bright-source number; (2) angular separation between X-ray source and candidate optical counterpart after correction for boresight; (3) same, but in units of the X-ray/optical match radius σ; (4) expected number of random coincidences inside the 3σ match radius based on the local projected source density down to the limiting magnitude of the Mosaic catalog; (5)–(8) optical photometry; (9)–(11) 2MASS photometry; (12) spectral classification, and, where relevant, equivalent width (EW) of the Hα emission line derived from optical spectra. Errors on the last significant digit are given in parentheses. aCould be residual Hα emission from the background. bOptical photometry is taken from Vazquez & Feinstein (1990); we assume magnitude errors of 0.05. The spectral type is taken from Walborn (1973), to which we refer for an explanation of the qualifiers "(n)" and "((f))." cThis star is overexposed in our deep Mosaic images and falls in a chip gap in the shallow images.

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Finding an optical match does not guarantee that it is the true counterpart unless it shows other signs of activity (e.g., excess Hα flux), in which case a physical association is very likely. The random-match probability depends on several factors, including the local projected star density and the separation between the X-ray and optical source. To give an idea of the expected number of chance coincidences, we give in Column 4 of Table 3 the number of stars expected in the 3σ search area based on the optical source density (down to the limiting magnitude of the Mosaic images) within 1' of the source.

To complement the optical photometry we looked up the JHKs magnitudes of the optical matches in the 2MASS catalog and included them in Table 3. The quality flags indicate that the J and H magnitudes for CBS 19 are potentially contaminated by an image artifact. This star is also included in the UKIDSS Galactic Plane Survey (GPS) catalog (Lucas et al. 2008); a comparison of the J and H magnitudes shows them to be very similar to the 2MASS values with differences in the NIR colors of only ∼0.1 mag. None of the other sources appear in the GPS catalog, which covers a limited portion of the plane and is still in progress.

2.4. Source Classification

A useful diagnostic to discriminate between stellar coronal sources, accreting binaries, and active galactic nuclei (AGNs) is the ratio of the intrinsic and unabsorbed (u) X-ray and optical flux: log (FX/FO)u = log FX, u + m/2.5 − ZP. Here, m is the unabsorbed optical magnitude and ZP is the logarithm of the optical flux for a star with magnitude 0. Assuming a filter width of 1000 Å, the value of ZP is −5.44 for the V band, and −5.66 for the R band (Bessel et al. 1998). Most coronal sources have log (FX/FO)u ≲ −1, while accretion-powered sources typically have higher values (e.g., Stocke et al. 1991). We note that some CVs, as well as accreting compact objects with massive companions, or qLMXBs with (sub)giant secondaries can also have log (FX/FO)u ≲ −1. We use the BX band and the R magnitude where possible, or the V magnitude otherwise, to calculate this ratio. The X-ray flux is obtained from the best spectral fit. X-ray and optical fluxes are corrected for absorption using the column density derived from the X-ray spectral fit (NH, X).

If we assume that the extinction arises primarily from the Galactic line-of-sight column density, we can use the three-dimensional dust model of Drimmel et al. (2003) to derive distances. These are used in turn to calculate X-ray luminosities LX. Distance errors are calculated by inputing the 1σ errors on NH, X to the dust model and are propagated to estimate errors on LX. This approach does not take into account systematic uncertainties in the Drimmel et al. (2003) model that occur even after applying the "rescaling" factors to bring the model closer to the observed COBE/DIRBE far-IR data, which we have done here. To estimate the potential systematic errors in our distances, we have compared the AV-versus-distance curves from Drimmel et al. with those from Marshall et al. (2006), available for | l | < 100°. The Marschall et al. extinction maps have a higher spatial resolution (15' compared to 35') and are derived by comparing 2MASS photometry with a Galactic stellar population model. We find that the differences can be large, up to a factor of two. We note that our assumption that the extinction stems only from the line-of-sight column density is not necessarily justified. For sources that are internally absorbed this assumption can lead to overestimates of the distance, and hence the X-ray luminosity. Furthermore, for sources that lie outside the disk, this method can only provide a lower limit to the distance. Cases for which NH, X is close to the asymptotic part of the extinction-versus-distance curve are marked in Table 4, which summarizes our final classification and other derived properties. The errors on FX, u and log (FX/FO)u in Tables 2 and 4 are only based on the errors on the net counts and the magnitude errors, and do not include a contribution from the uncertainties in the spectral fits. In the remainder we assume NH = (1.79 × 1021) × AV cm−2 (Predehl & Schmitt 1995). Absolute magnitudes and bolometric luminosities as a function of spectral type are taken from Carroll & Ostlie (2007) unless mentioned otherwise.

Table 4. Classification and Derived Properties for the Bright Sources

CBS d log LX log (FX/FO)u Comment
  (kpc)      
Stars
3 1 ± 0.4 31.1 ± 0.3 −2.50 ± 0.03 ...
4 1.8 ± 0.3 31.4 ± 0.2 −0.93 ± 0.05 ...
5 2.8 ± 0.4 32.88 ± 0.02 −4.03 ± 0.03 ...
6 0.9 ± 0.7 31.2+0.5− 1.6 < − 0.5a ...
8 3.4 ± 0.9 32.2 ± 0.3 −2.40 ± 0.05 ...
10 <0.5 <31.2 −1.84 ± 0.04 ...
11 <0.6 <30.1 −2.39 ± 0.05 ...
12 <1.3 <30.8 −2.95 ± 0.05 ...
14 <0.5 <32b 1.64 ± 0.04b Flare star
19 3.0 ± 0.8 31.8 ± 0.3 −2.20 ± 0.05 ...
20 <3 <31.5 −2.50 ± 0.05 ...
21 <0.2 <30.0 −2.36 ± 0.04 ...
Accreting binaries
7 1.4 ± 0.1c 32.05 ± 0.08c 1.31 ± 0.07 CV
17 4.9 ± 0.8 33.2 ± 0.2 −1.58 ± 0.04d Symbiotic?
AGN
2 >2.4e >31.8e −0.12 ± 0.05 ...
AGN or accreting binaries
1 >7.2e >32.8e 0.20 ± 0.05 ...
9 >16e >33.8e −2.34 ± 0.05 ...
13 >11e >33.7e > − 7.6f ...
15 >23e >34.4e >0.3f ...
16 >4.4 >32.5 >1.1f ...
18 5.8 ± 2.4 33.0+0.3− 0.5 > − 0.9f ...

Notes. Columns: (1) source number; (2) spectroscopic distance for CBS 5 and 17; for the remaining sources this is the distance derived from the Drimmel et al. (2003) model assuming that NH, X arises primarily from the Galactic line-of-sight extinction, but see Section 2.4 for caveats regarding these distances; (3) X-ray luminosity (0.3–8 keV); and (4) ratio of dereddened X-ray and R-band flux or V-band flux (for CBS 10 and 21), where only the errors on the X-ray net counts and the optical magnitudes are included in the uncertainties. Maximum (minimum) values on distance and LX are 1σ upper (lower) limits that result from the 1σ upper (lower) limit on NH, X. aThis star is saturated in our images. We assume R ≲ 17. bAfter correcting for pileup. The uncertainty in the pileup correction is not included. See the text in Section 2.2. cDistance and luminosity are based on NH, X obtained from fitting the XMM-Newton spectrum. dWe use NH, X to deredden the X-ray flux, and NH = 3.25 × 1021 cm−2 to correct the optical flux. See the text in Section 3.1.2. eNH, X exceeds the integrated Galactic column density (NH, Gal) in the direction of the source according to Drimmel et al. (2003) by more than 1σ. We set the lower limit on d to the distance where the extinction curve reaches its asymptotic value of AV. fThese sources lack candidate optical counterparts. We assume R ≳ 24.

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2.5. Cross-correlation with Other X-Ray Catalogs

Many of our sources have potential counterparts in the XMM-Newton Serendipitous Source Catalog Data Release 3 (Watson et al. 2009). We give the names of sources within 3'' from the Chandra position in Column 13 of Table 1. For CBS 7, 14, and 17, we have done a further analysis of the XMM-Newton observations that include these source positions. We have cross-correlated our sample with the ASCA Galactic Plane Survey source catalog (Sugizaki et al. 2001) but found no matches within the 1' positional uncertainty of the ASCA sources.

3. RESULTS

3.1. Accreting Binaries

There is compelling evidence that CBS 7 and 17 are Galactic binaries whose X-rays are powered by accretion onto a compact object, most likely a white dwarf.

3.1.1. CBS 7: A Cataclysmic Variable

CBS 7 has a hard spectrum that is best fit with a power law with Γ = 1.0 ± 0.1; fits with thermal models only place a lower limit to the plasma temperature of kT ≳ 50 keV. Photometry of the optical source inside the error circle gives log (FX/FR)u = 1.3 ± 0.1. The VRI colors of this source are blue compared to the bulk of the surrounding stars, and there is marginal evidence for excess Hα emission with Hα − R = −0.5 ± 0.2. We present optical follow-up spectra that confirm the Hα emission lines in CBS 7 elsewhere (Servillat et al. 2012). These characteristics are typical for accreting binaries with compact objects. Using the derived NH, X, we find a distance d = 1.2 ± 0.5 kpc, and an absolute magnitude MV ≈ 10.0. We conclude that CBS 7 has a low-mass, unevolved donor and is likely a CV rather than a quiescent wind-accreting Be X-ray binary. Sources belonging to the latter category can have similarly hard X-ray spectra but their massive donors are much brighter in the optical.

The X-ray light curve of CBS 7 is clearly variable, with recurring deep and shallow dips (Figure 3). We ran a Lomb–Scargle period-search algorithm (Scargle 1982) on the barycenter-corrected photon arrival times. Hong et al. (2012) give details of the timing analysis. The power-density spectrum between 20 s and 20,000 s shows peaks with >99% significance at P1 = 4392 ± 290 s and P2 = 8772 ± 957 s. The longer period corresponds to the spacing of the deep dips, while the shorter one is the spacing between the deep and shallow dips. Figures 4(a) and (b) show the Chandra light curves folded on P1 and P2. We examined the time-resolved spectral parameters using quantile analysis, but see no indication for variations correlated with count rate. This could be partly due to poor statistics.

Figure 3.

Figure 3. Background-corrected Chandra light curves of CBS 7 and CBS 3 (0.3–8.0 keV). The points are average count rates in a sliding window with a width that is adjusted to include 50 counts. Error bars are shown for a few representative points where the horizontal error bar marks the bin width.

Standard image High-resolution image
Figure 4.

Figure 4. Left and middle: Chandra light curves for CBS 7 (0.3–8 keV) folded on the periods P1 and P2 found by the Lomb–Scargle analysis. Right: XMM-Newton EPIC-PN light curve (0.3–8 keV) folded on P2. Horizontal lines mark the average count rate.

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CBS 7 is also serendipitously included in an XMM-Newton observation taken on 2003 August 14 (ObsID 0152780201; 81 ks). We retrieved the data from the archive and performed further processing with SAS 10.0 following instructions in the XMM-Newton ABC Guide11 and the SAS Threads.12 After filtering out time intervals with background flares, ∼37 ks (EPIC-PN), 59.2 ks (EPIC-MOS1), and 62.1 ks (EPIC-MOS2) of exposure time remains. Periods consistent with the values of P1 and P2 show up as significant peaks in the periodograms of the PN light curves. For the MOS1 and MOS2 data only the shorter period is significantly detected, but the folded light curves do not show convincing variability. On the other hand, folding the PN and MOS count rates on P2 and P2/2 produces light curves that are qualitatively similar to the Chandra light curves and give a smoother result than the periods derived from the XMM-Newton data (Figure 4(c)).

To investigate the spectrum, we focused on the data from the PN camera given its larger effective area compared to the MOS cameras and Chandra/ACIS at higher energies. We extracted counts from a 20'' source aperture and corrected for background using a nearby source-free region on the same chip. Fitting a thermal-bremsstrahlung model to the PN spectrum, grouped to have at least 20 counts bin−1, sets a lower limit to the temperature of kT  >  30 keV. A power-law fit gives parameters that are consistent with those in Table 2, viz., Γ = 1.30 ± 0.06 and NH, X = (2.4 ± 0.2) × 1021 cm−22ν = 1.07, 91 dof). The XMM-derived value for NH, X is thus better constrained than the value obtained by fitting the Chandra spectrum, and gives a distance of 1.4 ± 0.1 kpc; this is the value we include in Table 4. Note, however, the caveat in Section 4.1.1 regarding our distance estimate for this source. The residuals show a systematic excess between 6 and 7 keV compared to this model, which prompted us to add a Gaussian-shaped emission line at a fixed position of 6.4 keV or 6.7 keV to mimic an Fe Kα fluorescent or He-like emission line. While the former does not give sensible line parameters, including a 6.7 keV line removes the systematic residuals. In the latter case, we find a marginal (95%) significance for the presence of the line using the method of Bayesian posterior predictive probability values (e.g., Protassov et al. 2002). The spectrum can be described by Γ = 1.36 ± 0.07, NH, X = (2.6 ± 0.3) × 1021 cm−2, and an FWHM of 0.6 ± 0.2 keV (χ2ν = 0.98, 89 dof). The unabsorbed flux of FX, u = 6.3 × 10−13 erg s−1 cm−2 (0.3–8 keV) is about 25% higher than found with Chandra.

3.1.2. CBS 17: A Symbiotic Binary?

CBS 17 is detected ≲10 pixels away from the chip edge, so we use caution when considering its properties derived from the Chandra data. The hard power-law spectrum (Γ = 0.8 ± 0.2; or kT > 43 keV for a thermal model) suggests that this source is accretion powered. TiO absorption bands (5847–6058 Å, 6080–6390 Å, 6651–6852 Å) are clearly visible in our Hydra spectrum of the candidate counterpart, and their strength points at a late-K or early-M spectral type. The absence of the gravity-sensitive CaH lines around 6382 and 6389 Å  indicates that this star is a giant (Figure 5). Hα is seen in emission, which supports the true association with the X-ray source. On these grounds we conclude that CBS 17 is likely a symbiotic binary where an evolved late-type star transfers mass to a hotter companion, in many cases a white dwarf. Many "canonical" symbiotics are thought of as wind-accreting systems as the strong wind from the evolved companion manifests itself through nebular emission lines excited by the high-energy photons created by the accretion process. We do not see such prominent emission lines in CBS 17. Mass transfer would therefore have to take place through Roche lobe overflow.

Figure 5.

Figure 5. Optical spectrum of the likely counterpart to CBS 17 (middle; thick line) compared to template spectra of dwarfs and giants of similar spectral type (Jacoby et al. 1984; Silva & Cornell 1992) that are reddened with NH = 3.5 × 1021 cm−2. Our star clearly shows Hα emission. The vertical lines mark Ca i (6102, 6122, 6162 Å) and CaH (6382, 6389 Å) lines that are prominent in dwarfs but weak or absent in giants and in CBS 17.

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The observed NIR colors of CBS 17 are only consistent with the spectral classification if the extinction is lower (NH ≈ 3 × 1021 cm−2) than the one derived from X-ray spectral fitting (Figure 2(b)). A lower value for NH of about 3.5 × 1021 cm−2 is also suggested by comparing the continuum slope of the Hydra spectrum to artificially reddened template spectra. Formally, the error bar on NH, X allows such low values (the difference is ∼2.3σ), but the discrepancy can also indicate that there is material inside the system obscuring the X-ray emitting region but not the late-type giant. Therefore, we do not use NH, X to estimate a distance, but adopt NH = (3.25 ± 0.25) × 1021 cm−2 to calculate a spectroscopic distance based on the allowed range of spectral type. A K7 III giant has MV = +0.4, while an M1 III giant has MV = −0.2, resulting in d = 4.1–5.6 kpc, and log LX = 33.2 ± 0.2.

CBS 17 is included in three XMM-Newton observations. It is commented on by Angelini & White (2003, AW03; their source 1) as a serendipitous detection and possible AGN that stands out in a 6.2–6.8 keV Fe-band image of the first of these observations. Kaaret et al. (2006) also list CBS 17 among the serendipitous detections in the first and second XMM-Newton observation, as well as in the Chandra observation analyzed here. Their reported fluxes indicate long-term variability but are based on the assumption (for all their sources) of a power-law spectrum with Γ = 1.5 and NH = 3.1 × 1021 cm−2. This motivated us to do a more detailed analysis. Table 5 lists all X-ray observations for CBS 17.

Table 5. X-Ray Observations of CBS 17 Used in Our Analysis

Epoch Telescope/Instrument ObsID Date Obs. Texpa
        (ks)
1 XMM-Newton/EPIC-PN 0032940101 2001 Mar 8 15.4
2 Chandra/ACIS-S 04586 2004 Jun 25 44.1
3 XMM-Newton/EPIC-PN 0203750101 2004 Sep 18 42.7
4 XMM-Newton/EPIC-PN 0500540101 2008 Mar 15 44.6

Note. aGTI exposure time.

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We extracted spectra following the same procedures as for CBS 7 and restricted the analysis to the EPIC-PN data. First, we fitted each spectrum individually. The results, summarized in the upper part of Table 6, indicate spectral and/or flux variability but the errors are large. Therefore, we also tried fitting all spectra simultaneously, forcing various combinations of parameters to be the same for each epoch. Keeping NH, X and the power-law slope and normalization the same gives an unacceptable fit with χ2ν = 1.81 and 278 dof for the overall fit, which confirms the variability. Allowing only NH, X to vary for each epoch does not result in a good fit either (overall χ2ν = 1.69, 275 dof). The same is true if we fix NH, X and Γ but allow the normalization to vary; in this case an unsatisfactory fit is found for epochs 1 and 2. If we let Γ and the normalization vary and keep NH, X the same, a good fit is found for each epoch (Table 6, bottom). In this case, we see variations of Γ, and the intrinsic flux varies up to ∼60%. The largest flux change is seen between two XMM-Newton observations (epochs 1 and 3), so this finding is unaffected by the fact that CBS 17 lies close to the chip edge in the Chandra observation.

Table 6. X-Ray Spectral Fits for CBS 17

Epoch Γ NH, X FX, u × 10−13 χ2ν/dof
    (1022 cm−2) (erg s−1 cm−2)  
Each spectrum fit individually
1 1.42 ± 0.16 0.76 ± 0.16 4.2 1.02/30
2 1.0 ± 0.3 0.8 ± 0.2 5.2 0.91/23
3 0.87 ± 0.07 0.70 ± 0.10 6.6 1.08/120
4 1.19 ± 0.08 0.66 ± 0.10 4.1 0.93/96
Same NH, X for each epoch
1 1.38 ± 0.10 0.71 ± 0.06 4.1 1.00/272
2 0.64 ± 0.10 . 5.0 .
3 0.87 ± 0.06 . 6.6 .
4 1.23 ± 0.07 . 4.2 .

Notes. A "." indicates that the parameter was forced to be the same for each epoch.

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Figure 6 shows the data and best model fits for fixed NH. The spectrum from epoch 1 shows small positive residuals between 6 and 7 keV that could correspond to the Fe K line reported by AW03. The good fits achieved with models without an Fe K line do not warrant adding such an emission component. When we do include a Gaussian-shaped emission line, we find parameter values that are consistent with the results of AW03, viz., 6.24 ± 0.15 keV and 0.66 ± 0.24 keV for the line center and width, Γ = 1.7 ± 0.2, NH, X = (0.9 ± 0.2) × 1022 cm−2, and FX, u = 4.8 × 10−13 erg s−1 cm−22ν = 0.91 for 39 dof). Here we re-grouped the spectrum to ⩾15 (instead of 20) counts bin−1 for a slightly better resolution. Only the spectrum from epoch 1, during which the source was at its softest, shows a hint of a line. The absence of this line in the Chandra data could be due to the poorer sensitivity at higher energies.

Figure 6.

Figure 6. Chandra and XMM-Newton spectra of CBS 17 are shown together with the best-fitting model to the data. Solid lines are the model fits for an absorbed power law with the column density NH, X kept the same for each epoch. The model parameters are listed in the bottom part of Table 6.

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Follow-up studies are needed to uncover the nature of CBS 17. With high-resolution optical spectroscopy the binary status can be established, and the orbital period and companion masses can be constrained. To test if the companion is (close to) Roche lobe filling, one can look for the signature of a distorted companion in the optical/NIR light curves.

3.2. Stellar Coronal X-Ray Sources

We classify nine sources (CBS 3, 4, 5, 6, 10, 11, 12, 20, 21) as stars or active binaries based on the following criteria: log (FX/FO)u ≲ −1 (Koenig et al. 2008 and references therein), the X-ray spectrum is well fit by a thermal model, and the corresponding plasma temperature kT is a few keV at most. Their properties are described in Section 3.2.1 (late-type stars) and Section 3.2.2 (early-type star). Three exceptional cases—CBS 19, 8, and 14—are discussed in Sections 3.2.33.2.5.

3.2.1. Normal and Active Late-type Stars

Our optical spectra show that CBS 3, 4, 11, 12, 20, and 21 are G or K stars (Table 3). We have not obtained spectra for the candidate counterparts to CBS 6 and 10, yet. Considering their dereddened 2MASS colors, they are probably late-type stars as well, with spectral types around early G and early M, respectively (Figure 2(b)). The X-rays of late-type stars are emitted by a hot coronal plasma, which is confined by magnetic fields that are generated by a solar-like dynamo operating in the convective outer layers. See Güdel (2004) for a review.

The X-ray-derived extinction values for these eight stars are all relatively low, and consequently the Drimmel extinction-versus-distance curves place them nearby. Our estimates or upper limits on LX are consistent with X-ray luminosities of nearby F–K stars (log L0.1-2.4 keV ≈ 26.5–29.5; Schmitt & Liefke 2004) and active binaries (log L0.1-2.4 keV ≈ 28–32; Dempsey et al. 1993, 1997) as measured by ROSAT, and of active binaries in open clusters (log L0.3-7 keV ≈ 28–31; van den Berg et al. 2004) as measured by Chandra. If we adopt the NH, X-derived distances to calculate absolute magnitudes MV or MR, we find that CBS 4, 10, 11, and 21 are likely main-sequence stars or BY Dra-type active binaries, and CBS 3 is likely a subgiant or an RS CVn-type active binary. CBS 12 and 20 are dwarfs or subgiants, either single or in an active binary. While one should be wary when using our NH, X-derived distance estimates, we note that these sources are relatively nearby, and that non-flaring active stars or binaries are often not internally absorbed. Low-resolution stellar X-ray spectra are often found to be better fitted with a sub-solar coronal metal abundance Z than with a solar abundance (Güdel 2004). We also see this in the results of our fits to the spectra of CBS 3, 6, 10, 11, 12, 20, and 21.

With kT ≈ 4 keV and log (FX/FR)u ≈ −0.9, CBS 4 appears to be more active than most of the sources in this category, which have kT ≲ 1 keV. Here we could be seeing the effect of a coronal flare during the first ∼20 ks of the observation. To study temporal variations in the energy spectrum of CBS 4, we resort to quantile analysis as there are too few counts to fit, and compare, spectra extracted from different sub-intervals of the exposure. In quantile analysis, the energy values that divide the energy distribution of the photons in certain fixed fractions are used as spectral diagnostics. This approach is more powerful than measuring the number of counts in fixed energy bands (as is done when using hardness ratios), as the errors on the diagnostic are less sensitive to the underlying spectral shape. Following Hong et al. (2004) we choose the median energy (E50), and the 25% and 75% quartiles (E25, E75) to characterize the spectra. By comparing the observed quantiles with those expected for a spectral model of choice, the X-ray spectral parameters and NH, X can be constrained. As expected for a coronal flare, the spectrum of CBS 4 is harder when it is bright compared to quiescence, where the spectrum can be described by emission from a ∼1 keV thermal plasma. For intermediate count rates (∼10 counts ks−1) the source moves down in the quantile diagram which is the signature of two different temperatures contributing more or less equally. Flaring has been frequently observed in M dwarfs, but also in earlier-type dwarfs (see Güdel 2004 and references therein). What is puzzling is the trend of spectral hardening toward the end of the observation, when the count rate is at its lowest.

CBS 3 is also an X-ray variable, showing a flare-like event near the end of the exposure (Figure 3). We see no indication for a change in its X-ray spectrum during the flare.

CBS 12 is potentially a long-term variable. Besides in the observation we analyze here, it is detected in ObsID 757 (2000 August 14, 13.4 ks GTI) with a significantly higher count rate: 9.8 ± 1.2 versus 4.3 ± 0.2 counts ks−1. The energy quantiles in the two ObsIDs are consistent.

3.2.2. CBS 5: An Early-type Star

The bright star that is matched to CBS 5 is HD 97434. The O7.5III classification by Walborn (1973) is in better agreement with our Hydra spectrum than other classifications found in the literature. Using its colors and spectral type, Vazquez & Feinstein (1990) derive AV = 1.5 ± 0.2 and MV = −5.7 ± 0.15, where the errors were estimated by us (since none were given by Vazquez & Feinstein) and set to reasonable values based on the information provided in their study, and the compilation of absolute magnitudes of O stars in Vacca et al. (1996). This gives a distance to CBS 5 of d = 2.8 ± 0.4 kpc. The X-rays from single early-type stars are believed to arise from shock-heated plasma formed by instabilities in the strong winds emanating from such massive stars. The spectra can be described by the combination of two thermal components with kT ≈ 0.3 and 0.7–1 keV (Güdel & Nazé 2009). This agrees with our results. We find log (FX/FR)u ≈ −4.0, and log (LX/Lbol) ≈ −6.3 (for d = 2.8 kpc), also typical for O stars.

Bhatt et al. (2010) analyzed XMM-Newton data of HD 97434 taken two months before the Chandra observation. To facilitate comparison, we fit our spectrum with their adopted model, i.e., a 2T APEC thermal plasma model (xsapec). Our data are not good enough to constrain Z. Setting Z/Z ≡ 0.21, i.e., the value found by Bhatt et al., we find NH, X =(3 ± 1) × 1021 cm−2, kT1 = 0.24 ± 0.05 keV, and kT2 = 0.6 ± 0.1 keV, suggesting no change in these parameters between the epochs. Bhatt et al. assume that HD 97434 is a member of the open cluster Trumpler 18 located at 1.55 ± 0.15 kpc (Vazquez & Feinstein 1990). However, the spectroscopic distance (see above) places it behind the cluster by ∼3σ. When adopting a common distance, the Chandra luminosity is two to three times lower than the XMM-Newton value, indicating long-term variability.

3.2.3. CBS 19: A Pre-main-sequence Star

The temperature derived for CBS 19 (kT = 4+2− 1 keV) indicates a high level of activity. Our Hydra spectrum of the candidate counterpart shows a clear Hα emission line with equivalent width (EW) = −6.0 ± 0.8 Å. At the poor S/N of our spectrum, the continuum looks featureless except for the Na I D doublet around 5890 Å, which could be interstellar in nature. This makes spectral classification challenging. At first sight, the optical and NIR colors of the candidate counterpart seem to disagree (Figure 2). The former suggest a spectral type of late-F to early-M, whereas the latter point at a late-M star. Such cool M stars show prominent TiO absorption bands in their optical spectra, but these are notably absent in CBS 19.

One explanation is that CBS 19 is a young PMS star surrounded by a warm, circumstellar disk that causes excess NIR emission. In fact, after accounting for the extinction derived from NH, X, the location of CBS 19 in the NIR color–color diagram (Figure 2(b)) agrees with the locus of the classical T Tauri stars (CTTS), a subclass of PMS stars that are still actively accreting from their circumstellar disk (Meyer et al. 1997). The prominent but relatively weak (compared to CVs) Hα emission is also in line with this classification. The X-ray properties of CBS 19 are typical for PMS stars, where X-rays are generated by a high level of magnetic activity, with a possible contribution of (relatively soft) X-rays from the accretion process (e.g., Feigelson et al. 2007). We note that the disk can be a source of local extinction, and therefore our estimates of the distance (d = 3.0 ± 0.8 kpc) and luminosity (log LX = 31.8 ± 0.3 erg s−1) based on the Drimmel model may be too high.

The Li i 6708 Å line is a well-known indicator of youth. Detection of this line in high-resolution optical spectra of CBS 19 would confirm its T Tauri nature.

3.2.4. CBS 8: An RS CVn Binary

Our Hydra spectrum of the candidate counterpart to CBS 8 classifies it as an early/mid-K star. The X-ray spectrum of CBS 8 is rather hard for steady, stellar coronal emission. For a power-law model we find Γ = 1.9 ± 0.2; for a bremsstrahlung model we find kT = 5.5+2.3− 1.3 keV. The count rate is stable throughout the 48 ks observation, so it is unlikely that the hard spectrum is the result of a typical coronal flare which can have a decay time of up to ∼15 ks (Güdel 2004). CBS 8 appears in our database four more times, always with a lower count rate (at a level of >3σ). The largest difference is found with respect to ObsID 3807 (2002 September 24, 23 ks GTI) where the source is detected with 2.7 ± 0.4 counts ks−1 compared to 10.7 ± 0.5 counts ks−1 in the observation analyzed here, taken a year later. In ObsID 3807 the source appears softer, with E50 = 1.2 ± 0.1 keV compared to E50 = 1.64 ± 0.04 keV. The hardening and brightening of the source could point toward an increased level of coronal activity occurring on a ∼one year timescale.

The distance derived from NH, X gives an absolute magnitude MV = 0.4+1.2− 0.9, pointing to the star being a luminosity-class III giant (for a K3 III star, MV = +0.8). Also from Figure 2 it can be seen that the spectral type better agrees with the optical/NIR colors if we assume that the star is a giant instead of a dwarf. The Hα absorption line is very weak, a sign that the line may be filled in by excess Hα emission. We tentatively classify CBS 8 as an active RS CVn-type binary.

3.2.5. CBS 14: An Ultracool Dwarf?

The X-ray spectrum of CBS 14 is well fitted with a 2T MeKaL model with kT1 ≈ 0.9 keV and kT2 ≈ 2.5 keV, and minimal absorption (NH, X < 2 × 1020 cm−2). Apart from small-amplitude variations, the count rate steadily declines during the ∼9.5 ks observation. The spectrum becomes softer when the source gets fainter (Figure 7). This is typical for a coronal flare, but since the source was already bright at the start of the observation it is impossible to say if the light curve shows the characteristic "fast rise, slow decay" profile of a flare.

Figure 7.

Figure 7. Left: background-corrected Chandra light curve of CBS 4 (0.3–8.0 keV). See the caption of Figure 3 for a description of the binning. Middle: time-resolved quantile diagram (0.3–8 keV) for CBS 4. Each point corresponds to the bin of the same color in the left panel. The points are plotted on a thermal-bremsstrahlung grid, where the black lines represent a constant temperature kT and the gray lines represent a constant column density NH (in units of 1022 cm−2). By comparing the observed quantiles with these grid lines, one can constrain the spectral parameters for this assumption of spectral model. A clear concentration toward two temperatures is seen. Note that the spectrum appears to become harder again in the last two time bins when the count rate is low. Right: the 0.3–8 keV count rate for CBS 14 shows an overall positive correlation with spectral hardness. Events from the piled-up core are excluded.

Standard image High-resolution image

The error circle of CBS 14 contains an extremely red object with VKs = 9.4. Its optical/NIR colors place this object among the dwarfs with a spectral type of M7 or later; these are the so-called ultracool dwarfs. This is illustrated in the color–color diagrams of Figures 2 and 8, which also include nearby ultracool dwarfs. By comparing its J magnitude, and I − J and JKs colors with those of ultracool dwarfs at known distances (Phan-Bao et al. 2008), we estimate an approximate spectral type of M9 and d ≈ 24 pc.

Figure 8.

Figure 8. Color–color diagram illustrating the tentative classification of CBS 14 as a very late type dwarf based on the optical/NIR colors of its candidate counterpart (green diamond). For comparison, we include the intrinsic colors of main-sequence stars as a black (blue) curve, of giants as a light gray (red) curve, and nearby (≲30 pc) ultracool dwarfs as filled circles (Henry et al. 2004). Most stars in a 5' × 5' region centered on CBS 14 (gray dots) lie along the reddening vector (Nishiyama et al. 2008), shown with a length representing the total Galactic extinction in this direction (AV = 10.4). The candidate counterpart to CBS 14 lies away from this vector among the nearby ultracool dwarfs. Classification as an ultracool dwarf is consistent with the low extinction (NH, X ≲ 2 × 1020 cm−2 or AV ≲ 0.1) found from the X-ray spectrum. Errors on the colors of CBS 14 are smaller than the symbol size.

Standard image High-resolution image

The area around CBS 14 is included in the field of view of the EPIC-MOS cameras in two XMM-Newton observations: 0093670501 (2001 March 2; 14 ks) and 0207300201 (2004 February 22; 34 ks); the source lies outside the field of the EPIC-PN camera. After filtering out background flares, ∼13 ks and ∼15 ks of exposure time remain. No source is seen at the location of CBS 14. Upper limits on the flux are estimated by first extracting all counts (0.3–8 keV) from within 20'' of the Chandra source position. Using Gehrels (1986), we compute the 3σ upper limit on the number of counts. The background contribution is estimated from an annulus around the source position. The resulting limit on the net source counts is converted to a count rate limit using the value of the exposure map at the source position. With the spectral model of Table 2, we estimate that the most restrictive 3σ flux limit comes from the 2001 observation and is ∼1.6 × 10−14 erg s−1 cm−2. It is possible that the spectrum is softer when the source is not flaring, but for a kT = 0.5 keV MeKaL spectrum the upper limit on the flux changes only 10%. The flux from the Chandra observation is uncertain due to the pileup. A conservative lower limit is obtained by assuming that the detected count rate is the incident count rate. This implies an unabsorbed flux of >1.6 × 10−12 erg s−1 cm−2 (0.3–8 keV), meaning that CBS 14 was ≳100 brighter during the Chandra observation compared to the time of the XMM-Newton observations. Therefore, our estimate of (FX/FO)u is very uncertain as our X-ray and optical observations were not simultaneous.

CBS 14 was not detected in the ROSAT All Sky Survey. The detection limit of ∼0.015 counts s−1 (0.1–2.4 keV; Huensch et al. 1998) gives an upper limit to the intrinsic flux of ∼1.7 × 10−13 erg s−1 cm−2 for a kT = 0.5 keV MeKaL model and NH, X = 2 × 1020 cm−2. The lower limit to the Chandra flux is 1.4 × 10−12 erg s−1 cm−2 when extrapolated to the ROSAT band, implying a flux increase of at least a factor of ∼8.

Spectroscopic follow-up is needed to test our tentative classification of CBS 14 as an ultracool dwarf. It is not obvious what an alternative explanation could be. The X-ray spectrum points at negligible extinction and excludes the option of a background AGN or a heavily obscured object to explain the red optical/NIR colors. The number of random interlopers inside the area searched for counterparts is Nran = 0.5, so there is a reasonable chance that the red object is a chance coincidence. This implies that the true counterpart has R > 24.

3.3. AGN

Based on its optical spectrum, we classify CBS 2 as an AGN. Broad emission lines, coming from gas moving at high speeds around the central supermassive black hole, are prominently visible and constrain the redshift to z ≈ 1.78. Our database includes two detections of CBS 2: the one analyzed here and a detection in ObsID 835 (2000 January 5; 26.5 ks GTI), in which the source is about half as bright (4.9 ± 0.5 versus 10 ± 0.7 counts ks−1). The energy quantiles are consistent.

3.4. AGNs or Galactic Accreting Binaries

The relatively hard X-ray spectra of CBS 1, 9, 13, 15, 16, and 18 suggest that their X-rays are accretion powered, but with the information we have we cannot distinguish between AGNs or Galactic sources. The spectra of most AGNs can be described by power laws with photon spectral index Γ ≈ 1–2.5 (see, e.g., Tozzi et al. 2006). The spectra of our sources have photon indices that lie in this range, except for CBS 18 (see below).

The large errors on NH, X make it difficult to constrain the distances, as the NH, X values are consistent with the total Galactic column densities NH, Gal toward these sources at the <2.5σ level. Therefore, for these sources we can only derive lower limits to the distance. Only for CBS 13 does NH, X exceed NH, Gal by >3σ; but while an AGN nature is the most obvious explanation, one cannot exclude it is a highly obscured Galactic source.

For CBS 1 and 9 we have candidate optical counterparts, but no optical spectra to classify them. The Hα − R colors show no indication of an excess Hα flux. Whereas the spectra of most CVs and quiescent X-ray binaries show clear Hα emission (e.g., Torres et al. 2004), some qLMXBs have Hα emission lines with EWs > − 10 Å (e.g., Elebert et al. 2009). Such weak lines are not expected to make the Hα − R color stand out (see Figure 4 in Zhao et al. 2005). We also note that our method to look for Hα excess sources only works for redshift z = 0, and fails for objects at significantly higher redshifts. Follow-up spectroscopy of the candidate counterparts is necessary for an unambiguous classification. CBS 13, 15, 16, and 18 have no candidate optical counterparts down to the limiting magnitude of our Mosaic images. The (limits on the) log (FX/FR)u values of all six sources are consistent with both a Galactic and an extra-galactic interpretation (e.g., Hornschemeier et al. 2001).

For CBS 18 NH, X is relatively low compared to NH, Gal ((2.1 ± 1.5) × 1022 cm−2 versus 5.8 × 1022 cm−2), and it may be the best candidate among this subset to be an accreting binary. The spectral fit gives an unusually flat photon index (Γ = −0.3 ± 0.4), and there is a hint of a systematic trend in the residuals above 5 keV. The data are of insufficient quality to test for the presence of an emission line, which is not included in our model but could skew the spectrum to seem flatter than it actually is.

CBS 18 is also detected in the consecutive Chandra observations 949 (42 ks) and 1523 (58 ks) from 2000 February 24/25. The energy quantiles and count rates are consistent in all observations. The combined light curve from ObsIDs 949 and 1523 shows a weak sign of periodicity at P = 503 ± 1 s, with the corresponding peak in the Lomb–Scargle periodogram just above the 99% confidence level. As the folded light curve does not look convincingly variable, we consider this detection marginal at best. There is no sign of periodicity in the light curve from the observation analyzed here.

CBS 18 lies in the field observed by Ebisawa et al. (2005) and is their source 200 or CXOGPE J184355.1−035829. Ebisawa et al. did not find a counterpart in the NIR follow-up campaign, which is complete down to J = 18, H = 17, and Ks = 16. The lack of a counterpart implies $\log (F_{\rm X}/F_{K_s})_{\rm u} > 0.17$, which also points to an accretion-powered source.

4. DISCUSSION

Our sample of 21 bright sources consists of 12 stars and 9 accretion-powered sources. Except for CBS 5, the stars are coronal emitters where magnetic fields play a major role in developing or sustaining hot plasmas. Among the accreting sources, two are Galactic binaries (CBS 7 is a CV; CBS 17 is a candidate symbiotic binary), CBS 18 could be a CV, one is a confirmed AGN, and for the remaining six this distinction is less clear. We first discuss three of our bright sources in a broader context, and then continue to consider our sample as a whole.

4.1. Individual Systems

4.1.1. CBS 7: A Likely Magnetic Cataclysmic Variable

The hard spectrum of CBS 7 suggests it is a magnetic CV (e.g., Heinke et al. 2008), although some dwarf novae in quiescence have hard spectra as well (e.g., Balman et al. 2011). Magnetic CVs can be divided in two subclasses. In polars, the magnetic field is strong enough (B ≳ 10 MG) to lock the spin to the orbital motion. Intermediate polars (IPs) have fields of moderate strength (B ≈ 1–10 MG), which are too weak to force synchronism. It is not clear which of these classes CBS 7 belongs to. Our follow-up optical and NIR data indicate that the longer of the two X-ray periods is likely the orbital period (Pb) and we refer to Servillat et al. (2012) for a detailed discussion. The origin of the shorter period is less clear. If the system is synchronized, the variability could be caused by the two poles or accretion spots on the white dwarf being partially (self)eclipsed. If the system is asynchronous, the shorter period could reflect the white dwarf spin period (Ps), which would then be half the orbital period by chance. The ratio of the periods (Ps ≈ 0.5 Pb) is relatively high compared to the typical ratio for IPs; most have Ps ≲ 0.3 Pb. It would add CBS 7 to a small but growing number of "near-synchronous" IPs that may be evolving toward synchronism (Norton et al. 2008; Hong et al. 2012). As the X-ray spectral properties of CBS 7 do not vary with count rate, the dips are likely not caused by a variation of the local amount of absorbing material. It is not uncommon for magnetic CVs to be internally absorbed, which can cause our distance and LX estimates to be overestimated.

4.1.2. CBS 17: A New Hard X-Ray Emitting Symbiotic?

Traditionally, symbiotic binaries were thought of as soft X-ray emitters. This picture was mostly based on ROSAT observations that were limited by its soft response (Mürset et al. 1997). Recently, an increasing number of symbiotics have been detected at harder energies (Kennea et al. 2009; Luna et al. 2010; van den Berg et al. 2006). Kennea et al. (2009) suggest that for RT Cru, T CrB, CD−57 3057, and CH Cyg the hard X-rays are thermal and come from an accretion-disk boundary layer around a massive, non-magnetic white dwarf. The potentially high white dwarf masses make them interesting as candidate Type Ia supernova progenitors. CBS 17 could be a member of this class of "hard" symbiotics. Besides the hard spectrum, similarities with this class include the weak optical emission lines and possibly an internal absorption component. On the other hand, our analysis suggests that the long-term variability is not caused by variations in the column density, whereas in the systems discussed by Kennea et al. (2009) the variations were found to result from variations in the intrinsic absorption.

4.1.3. The Candidate Ultracool Dwarf CBS 14

Unlike earlier-type M stars that have a radiative core and convective envelope, ultracool dwarfs are fully convective with cool and effectively neutral atmospheres. Multi-wavelength diagnostics indeed mark a change in magnetic activity around spectral type M7, but a larger sample is needed to get a clearer picture: only 12 ultracool dwarfs have been detected in X-rays (Berger et al. 2010; Robrade et al. 2010). In this context, it is important to establish the nature of CBS 14. Its colors place it between the M9 and L0 dwarfs. So far, there is no firm X-ray detection of a dwarf later than M9; the L2-dwarf Kelu-1 with a marginal detection of four photons is the only possible exception (Audard et al. 2007). With log L0.3-8 keV/Lbol ≳ −0.7 (averaged over the observation, for a spectral type M 9) and a duration of at least 8 ks, CBS 14 could have been caught during one of the strongest flares seen in ultracool dwarfs. The upper limit on the quiescent luminosity from the XMM-Newton data is 1 × 1027 erg s−1 (0.3–8 keV). This is consistent with the limits for other M9 stars but not very constraining as typical quiescent luminosities are a few times 1026 erg s−1 (Berger et al. 2010; Robrade et al. 2010).

4.2. Overall Sample

4.2.1. Contribution from Background Sources

We estimate the expected number of AGNs in our sample using the cumulative X-ray point-source density as a function of flux (log N–log S distribution) derived for high Galactic latitudes. To this end, we determine the flux limit of an observation by calculating the flux of a source observed at the aimpoint with 250 net counts (0.3–8 keV). Here we assume a Γ = 1.7 power-law spectrum and a column density equal to the integrated Galactic NH along the line of sight. We do this for each of the 63 observations that we searched for bright sources; the values for the observations analyzed here are included in Column 10 of Table 1. The average flux limit of an observation is higher than the value thus computed as the sensitivity decreases with offset angle from the aimpoint. As a first-order correction for the vignetting, we multiply the flux limits for the aimpoint by the ratio of the value of the exposure map at the aimpoint and the mode of the exposure map. This gives a correction factor of 1.09 for ACIS-S and of 1.0413 for ACIS-I. We find that the number of AGNs predicted is rather uncertain. The log N–log S curves (0.3–8 keV) from Kim et al. (2007) predict a total of 19–57 AGNs, where the range is defined by the 2σ error margins in the parameters of the log N–log S equation. If we use the extinction maps from Schlegel et al. (1998), which on average predict a higher integrated Galactic column density, the number of expected AGNs is 13–42. In fact, we have one confirmed AGN and six candidate AGNs (Sections 3.3 and 3.4). However, if we take into account statistical errors (which are not included in the ranges given above), and the possibility that the Galactic extinction is still underestimated (neither the Drimmel nor the Schlegel extinction models have been verified externally in an extensive way), the predicted and observed number of AGNs are not so discrepant as they might seem at first sight. In any case, it is likely that most of the sources in Section 3.4 are indeed AGNs.

4.2.2. Source Density and log N–log S Curves

Using our classifications to separate the Galactic sources in our sample from the extragalactic sources (including the six AGN candidates), we have computed the cumulative source density versus flux for the Galactic sources only. We do this by adding up the contribution of each source and normalizing it by the area in which it could have been detected based on the flux limits of each of the 63 observations searched. As in this case we only consider Galactic sources, we have used a different spectral model to calculate the flux limits than in Section 4.2.1. To account for the typically softer spectra of the Galactic sources (see Table 2), we use a power law with photon index Γ = 3 and correct for only 25% of the integrated NH along the line of sight. This value of Γ is only appropriate for coronal sources, but we find that Γ = 1.7 and correcting for the total integrated NH give the same results. The log N–log S curve for the 0.3–8 keV band is shown in Figure 9. At the high end of the flux range (≳ 5 × 10−13 erg s−1 cm−2) lie the accreting sources CBS 7 and CBS 17, the early-type star CBS 5, the highly variable source CBS 14, and the stellar coronal source CBS 10. The nine sources below this limit are all likely late-type active stars.

Figure 9.

Figure 9. Cumulative source density vs. flux (0.3–8 keV) for only the Galactic sources in our sample. The relations log N(> S)∝Sα with α = −1 (dotted line) and α = −1.5 (dashed line, expected slope for an isotropic distribution), each normalized to the faintest flux in our sample, are also included. For comparison, we also show the log N–log S curve for AGNs from Kim et al. (2007; solid red line), which indeed has a slope close to α = −1.5. Correction for Galactic absorption was done with the model from Drimmel et al. (2003); the model from Schlegel et al. (1998) gives a consistent result.

Standard image High-resolution image

We do not have enough statistics to do a detailed analysis, but can make a qualitative statement. The slope α of the curve log N(> S)∝S−α appears flatter than the slope for an isotropic distribution (α = −1.5) that is expected for a truly homogenous angular distribution like that of AGNs, or for a population of local sources that is sufficiently close as to seem isotropic. The slope is closer to the value expected for a disk distribution (α = −1). The derived distances indeed place our Galactic sources up to 3–5 kpc away (Table 4). Other Galactic plane surveys find a similar flattening of the Galactic log N–log S distributions (e.g., Hertz & Grindlay 1984), which for the XGPS is mostly accounted for by soft stellar coronal sources (Motch et al. 2010). The resulting Galactic source density is roughly similar to the value from the XGPS: we find about 6–15 sources deg−2 above a limiting flux of 5 × 10−14 erg s−1 cm−2 (0.3–8 keV) compared to ∼3 sources deg−2 (0.4–2 keV) and ∼15 sources deg−2 (2–10 keV) in the region studied by the XGPS (Motch et al. 2010). Galactic sources are outnumbered by AGNs above this flux limit (by a factor of three to seven according to Kim et al. 2007).

4.2.3. Source Templates

In this study, we have avoided the central, most obscured part of the plane, which enabled us to use the properties of the optical and NIR counterparts for source classification. Would Chandra have detected our sources if they were located in the central bulge, and if so, can we use them as templates to constrain the nature of more distant obscured sources? We answer this question for the specific case of the 10' × 10' region around Sgr A*—the Galactic center region (GCR)—where Chandra found a large number (thousands) of X-ray point sources, most of which remain unidentified at other wavelengths. We apply the canonical extinction for the GCR of NH, X = 6 × 1022 cm−2 to our intrinsic source fluxes and put them at a distance of 8.5 kpc. The deep pointings of the Sgr A* field reach a sensitivity of at least 5 × 10−15 erg s−1 cm−2 (S/N ⩾ 3 between 2 and 8 keV for 700 ks of stacked exposures; Hong et al. 2009). All (candidate) AGNs except CBS 2, the two (likely) Galactic accretion-powered sources CBS 7 and CBS 17, and the RS CVn binary CBS 8 would fall above this X-ray limit. Only two sources would be bright enough in the NIR to be detectable in our GCR Ks-band observations (Laycock et al. 2005), viz., CBS 8 and CBS 17. With Ks ≈ 15 and 14.1, respectively, they would lie above or close to the NIR confusion limit, which is Ks = 15.4 in most of the region, and Ks = 14.5 in the most crowded region within 1' from Sgr A*. With higher-resolution images, obtainable with adaptive optics imaging, they would be easily detectable. However, as their spectra do not show strong signatures of activity or accretion (not in the optical, at least), it is difficult to distinguish them from the random coincidences with late-type evolved stars, which abound in the old bulge. While Laycock et al. (2005) showed that at most 10% of the unidentified sources around Sgr A* have such bright counterparts, it is important to recognize that it is not only young wind-fed quiescent Be-HMXBs, which have received much of the focus so far, that contribute to this NIR "bright" population of X-ray sources, but also active binaries of the RS CVn-type and symbiotic binaries.

5. FUTURE WORK

The present work is limited to a small sample of bright sources, but has uncovered a number of interesting systems that are worth detailed follow-up. Some of it is already underway. Servillat et al. (2012) present the results of an optical/NIR study of CBS 7, and optical spectroscopy to establish the nature of CBS 14 is planned. An extension of this work to the entire ChaMPlane database, which is almost three orders of magnitude larger, is guaranteed to find more individual sources of interest. It also allows us to construct deeper log N–log S curves in distinct sections of the plane with enough statistics to investigate differences in density and distribution of various types (accreting versus non-accreting) of faint Galactic X-ray sources, and can contribute to our understanding of the composition of the resolved part of the Galactic Ridge. Whereas the present study falls short in the number of sources included, source classification of the larger sample has to be done in a more statistical sense than we were able to do for the bright sources.

This work was supported by NSF grants AST-0098683, Chandra grants GO3-4033A and GO6-7088X, and includes work carried out (by K. Penner) as part of the Research Experience for Undergraduates program at the Harvard-Smithsonian Center for Astrophysics. We thank J. Hernandez for providing the SPTCLASS code and K. Stassun for discussing the optical and near-infrared properties of young stars. We also thank the Chandra X-ray Center for support.

Facilities: CXO - Chandra X-ray Observatory satellite, XMM - Newton X-Ray Multimirror Mission satellite, Magellan:Baade (IMACS) - Magellan I Walter Baade Telescope, FLWO:1.5m (FAST) - Fred Lawrence Whipple Observatory's 1.5 meter Telescope, Mayall (Mosaic) - Kitt Peak National Observatory's 4 meter Mayall Telescope, Blanco (Mosaic, Hydra) - Cerro Tololo Inter-American Observatory's 4 meter Blanco Telescope, WIYN (Hydra) - Wisconsin-Indiana-Yale-NOAO Telescope

Footnotes

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10.1088/0004-637X/748/1/31