Free Access
Issue
A&A
Volume 512, March-April 2010
Article Number A16
Number of page(s) 9
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/200913651
Published online 23 March 2010
A&A 512, A16 (2010)

Soft band X/K luminosity ratios for gas-poor early-type galaxies

Á. Bogdán1 - M. Gilfanov1,2

1 - Max-Planck-Institut für Astrophysik, Karl-Schwarzschild-Str. 1, 85741 Garching bei München, Germany
2 - Space Research Institute, Russian Academy of Sciences, Profsoyuznaya 84/32, 117997 Moscow, Russia

Received 12 November 2009 / Accepted 9 December 2009

Abstract
Aims. We aim to place upper limits on the combined X-ray emission from the population of steady nuclear-burning white dwarfs in galaxies. In the framework of the single-degenerate scenario, these systems, known as supersoft sources, are believed to be likely progenitors of Type Ia supernovae.
Methods. From the Chandra archive, we selected normal early-type galaxies with the point source detection sensitivity better than $10^{37} \ {\rm erg \ s^{-1}} $ in order to minimize the contribution of unresolved low-mass X-ray binaries. The galaxies, contaminated by emission from ionized ISM, were identified based on the analysis of radial surface brightness profiles and energy spectra. The sample was complemented by the bulge of M 31 and the data for the solar neighborhood. To cover a broad range of ages, we also included NGC 3377 and NGC 3585 which represent the young end of the age distribution for elliptical galaxies. Our final sample includes eight gas-poor galaxies for which we determine LX/LK ratios in the 0.3-0.7 keV energy band. This choice of the energy band was optimized to detect soft emission from thermonuclear-burning on the surface of an accreting white dwarf. In computing the LX we included both unresolved emission and soft resolved sources with the color temperature of $kT_{\rm bb}\le 200$ eV.
Results. We find that the X/K luminosity ratios are in a rather narrow range of $(1.7{-}3.2) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}$. The data show no obvious trends with mass, age, or metallicity of the host galaxy, although a weak anti-correlation with the Galactic NH appears to exist. It is much flatter than predicted for a blackbody emission spectrum with temperature of ${\sim} 50{-}75$ eV, suggesting that sources with such soft spectra contribute significantly less than a half to the observed X/K ratios. However, the correlation of the X/K ratios with NH has a significant scatter and in the strict statistical sense cannot be adequately described by a superposition of a power law and a blackbody components with reasonable parameters, thus precluding quantitative constraints on the contribution from soft sources.

Key words: galaxies: elliptical and lenticular, cD - galaxies: stellar content - X-rays: binaries - X-rays: galaxies - X-rays: ISM

1 Introduction

In the framework of the singe-degenerate scenario (Whelan & Iben 1973), white dwarfs (WDs) accreting from a donor star in a binary system and steadily burning the accreted material on their surface are believed to be a likely path to the Type Ia supernova (Livio 2000; Hillebrandt & Niemeyer 2000). Nuclear burning is only stable (required for the WD to grow in mass) if the mass accretion rate is high enough, $\dot{M}\sim 10^{-7}{-}10^{-6}~M_\odot$/yr. Given that the nuclear-burning efficiency for hydrogen is $\epsilon_{\rm H}
\approx 6 \times 10^{18}$ erg/g, the bolometric luminosity of such systems are in the $ 10^{37}{-}10^{38} \ {\rm erg
\ s^{-1}} $ range, potentially making them bright X-ray sources. Their emission, however, has a rather low effective temperature, $T_{{\rm eff}}\lesssim 50{-}100$ eV so is prone to absorption by cold ISM (Gilfanov & Bogdán 2009). The brightest and hardest sources of this type are indeed observed as supersoft sources in the Milky Way and nearby galaxies (Greiner 2000). The rest of the population, however, remains unresolved - weakened by absorption and blended with other types of faint X-ray sources - thus makes its contribution to the unresolved X-ray emission from galaxies.

Table 1:   The list of early-type galaxies and galaxy bulges studied in this paper.

We have recently proposed that the combined energy output of accreting WDs can be used to measure the rate at which WDs increase their mass in galaxies (Gilfanov & Bogdán 2009). This allowed us to severely constrain the contribution of the single-degenerate scenario to the observed Type Ia supernova rate in early-type galaxies. The critical quantity in our argument is the X-ray to K-band luminosity ratio of the population of accreting white dwarfs. This quantity cannot be measured unambiguously for several reasons. First, galaxies have large populations of bright compact X-ray sources, - accreting neutron stars and black holes in binary systems (Gilfanov 2004). Although their spectra are relatively hard, these sources make a significant contribution to X/K ratios, even in the soft band. Unless their contribution is removed, the obtained X/K ratios are rendered useless. This requires adequate sensitivity and angular resolution, a combination of qualities that currently can only be delivered by Chandra observatory. Another source of contamination is the hot ionized gas present in some of galaxies (Mathews & Brighenti 2003). Although there is a general correlation between the gas luminosity and the mass of the galaxy, the large dispersion precludes an accurate subtraction of the gas contribution based on, for example, optical properties of galaxies. The gas contribution may increase the X/K ratio by ${\sim} 1{-}2$ orders of magnitude, therefore gas-rich galaxies need to be identified and excluded from the sample. Finally, other types of faint sources do exist and contribute to the unresolved X-ray emission. Only upper limits on the luminosity of WDs can be obtained, because different components in the unresolved emission cannot be separated.

The aim of this paper is to measure LX/LK ratios in the 0.3 - 0.7 keV band for a sample of nearby gas-poor galaxies. The energy range has been optimized to detect emission from nuclear-burning white dwarfs, considering the range of effective temperatures, absorption column densities, and the effective area curve of Chandra detectors.

The paper is structured as follows: in Sect. 2 we describe the sample selection, the data preparation, and its analysis. We identify and remove gas-rich galaxies from the sample in Sect. 3. The obtained X/K ratios are presented and discussed in Sect. 4. Our results are summarized in Sect. 5.

Table 2:   The list of Chandra observations used in this paper.

2 Sample selection and data reduction

2.1 Sample selection

The superb angular resolution combined with the low and stable instrumental background of Chandra observatory makes the satellite perfectly suitable for the present study. We searched the Chandra archive for observations in the science category ``Normal Galaxies'' and selected a sample of early-type galaxies with point source detection sensitivity better than $10^{37} \ {\rm erg \ s^{-1}} $. This threshold was chosen to minimize the contribution of unresolved low-mass X-ray binaries (LMXBs), and its particular value is explained later in this paper (Sect. 4.2). The sample was further extended to include the bulge of M 31, which has similar stellar population and gas and dust content to elliptical galaxies. To explore young elliptical galaxies we also added NGC 3377 and NGC 3585, which would otherwise not pass our selection criteria because of the high point source detection sensitivity.

The sample constructed this way includes 14 galaxies and galaxy bulges, whose main properties are listed in Table 1. The point source detection sensitivity refers to the 0.5-8 keV band, and it was calculated assuming average spectrum of LMXBs - a power law with $ \Gamma =1.56 $ (Irwin et al. 2003).

2.2 Chandra

We analyzed 70 archival Chandra observations, as listed in Table 2. The total exposure time of the data was $ T_{{\rm obs}} \approx 2.8 $ Ms. For ACIS-I observations we extracted data of the entire ACIS-I array, while for ACIS-S observations we used only the S3 chip. The data reduction was performed with standard CIAO[*] software package tools (CIAO version 4.1; CALDB version 4.1.3).

The main steps of the data reduction are similar to those outlined in Bogdán & Gilfanov (2008). First, the flare contaminated time intervals were removed, which decreased the exposure time by $ {\lesssim} 10 $ per cent. For the point source detection, we used the unfiltered data, because longer exposure time outweighs higher background periods. We combined the available data for each galaxy by projecting them into the coordinate system of the observation with the longest exposure time. We ran the CIAO wavdetect tool on the merged data in the 0.5-8 keV energy range, and applied the same parameters as in Bogdán & Gilfanov (2008). This results in relatively large source cells, in order to minimize the contribution of residual point source counts to the unresolved emission. We find that ${\gtrsim}98 $ per cent of the source counts lie within the obtained regions. Because of the large cell size, some of the source cells may overlap in the central regions of some of the galaxies from our sample. However, this is not a problem, because the goal of this analysis is the unresolved emission, rather than point sources. The source list was used to mask out point sources in the analysis of the unresolved emission.

The background subtraction plays a crucial role in studying the extended X-ray emission. In all galaxies, except for M 31, we used a combination of several regions away from the galaxies to estimate the sky and instrumental background components. This technique cannot be applied in M 31 since its angular size is significantly greater than the field of view of the detectors, therefore we followed the procedure described in Bogdán & Gilfanov (2008). We constructed exposure maps by assuming a power-law model with a slope of $\Gamma =2$.

2.3 Near-infrared data

To trace the stellar light distribution, we used the K-band data of 2MASS Large Galaxy Atlas (Jarrett et al. 2003). Because of the large angular size of M 31, the background is somewhat oversubtracted on its near-infrared images (Jarrett, private communication), so that the outer bulge and disk of the galaxy appears to be too faint. To avoid the uncertainties caused by the improper background subtraction, we used the Infrared Array Camera (IRAC) onboard Spitzer Space Telescope (SST) to trace the stellar light in M 31. To facilitate the comparison of results with other galaxies in our sample, we converted the observed near-infrared Spitzer luminosities to K-band values. The scale between the $ 3.6 \ {\rm\mu m} $ IRAC and 2MASS K-band data was determined in the center of M 31, where the background level is negligible. The obtained conversion factor between the pixel values is $ C_{K}/C_{3.6 \ {\rm\mu m}} \approx 10.4 $.

\begin{figure}
\hbox{
\includegraphics[width=6.35cm]{13651f01.eps}\hspace{-0.45c...
...s}\hspace{-0.45cm}
\includegraphics[width=6.35cm]{13651f14.eps} }
\end{figure} Figure 1:

Surface brightness profiles of the 14 galaxies in our sample in the 0.5-2 keV energy range. All background components were subtracted. Crosses (red) show the distribution of unresolved X-ray emission based on Chandra data, the solid line (black) shows the (arbitrarily) re-normalized near-infrared brightness.

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3 Identifying gas-poor galaxies

Truly diffuse emission is present in many luminous elliptical galaxies, that originates from warm ionized gas. Its luminosity may significantly exceed the emission from unresolved compact X-ray sources. Therefore our aim is to identify the emission of warm ionized gas, and, if possible, to separate it from unresolved faint compact sources. To reveal the presence and map the distribution of the ISM we constructed radial surface brightness profiles of the unresolved X-ray emission and studied its spectra.

In Fig. 1 the distribution of X-ray surface brightness is shown for the studied galaxies. The profiles were extracted in the 0.5-2 keV energy band using circular annuli, centered on the center of the galaxy. The data was corrected for vignetting, and all background components were subtracted. The contribution of resolved compact sources was removed as described in the previous section.

It is known that the distribution of unresolved compact objects follows the stellar mass (Bogdán & Gilfanov 2008; Revnivtsev et al. 2006,2008). Therefore, we looked for deviations in the X-ray profile from the distribution of the K-band light as an indication of an additional emission component, presumably the emission of warm ionized gas. There are five galaxies, M 32, M 105, NGC 3377, NGC 3585, and Sagittarius in which the X-ray brightness closely follows the stellar light distribution at all central distances. In several others - M 31, M 60, NGC 1291, and NGC 4278 the X-ray emission follows the near-infrared light only in the outer regions. In the inner parts of these galaxies, an additional X-ray emitting component is present and often dominates. In all other cases, the X-ray surface brightness strikingly deviates from the near-infrared light distribution, indicating the presence of strong additional X-ray emitting components. The largest difference between the X-ray and K-band profiles are observed in M 84, NGC 4636, and NGC 5128. These galaxies are known to show recent activity in their nuclei (e.g. Finugenov et al. 2008; Kraft et al. 2008; Baldi et al. 2009).

To confirm that there is emission from ionized gas, we investigated the spectra of unresolved emission (Fig. 2). As the gas emission is more centrally concentrated in some of the galaxies, we distinguished between inner and outer regions. The dividing radii are listed in Table 1. Similar to the radial profiles, we excluded the contribution of resolved compact sources. To facilitate the comparison, all spectra, shown in Fig. 2, were normalized to the same K-band luminosity of $ L_{K} = 10^{11} \ {L_{K,\odot}} $ and projected to a distance of 10 Mpc. In the case of Sagittarius and NGC 3377, we only show the spectrum of the entire galaxy due to the relatively low number of counts. The emission from the hot ISM reveals itself as a soft component, clearly visible in the spectra of many of the galaxies. To quantitatively characterize its contribution, we performed fits to the spectra of unresolved emission (Table 3), using the MEKAL model in XSPEC to represent the emission from ionized gas and a power-law spectrum for the contribution of unresolved compact sources. The spectra were derived from full regions whose parameters are presented in the Table 1, the metal abundances for the thermal component were fixed at solar values (Anders & Grevesse 1989), and the hydrogen column density was fixed at the Galactic value (Dickey & Lockman 1990). Such a simple model does not always describe the observed spectra well from the statistical point of view, as illustrated by the high $ \chi^2 $ values given in the last column of Table 3. However, it does describe the spectra with relative accuracy better than ${\lesssim} 10 \%$, which is entirely sufficient for the purpose of this calculation. The contribution of the hot ISM is, in principle, characterized by the ratio of luminosities of thermal and power-law components. The latter, however, includes the contribution of unresolved LMXBs, which may be dominant for galaxies with point source detection sensitivity that is too high, ${\ga} 10^{36} \ {\rm erg \ s^{-1}}$, making the luminosity ratios also depend on the sensitivity of the available Chandra data. To compensate for this, we estimated the contribution of unresolved LMXBs using the average LMXB X-ray luminosity function of Gilfanov (2004) and subtracted their contribution from the luminosity of the power-law component. These corrected values are shown in the column labeled $L_{\rm MKL}/(L_{\rm PL}-L_{\rm LMXB})$ in Table 3.

The spectral analysis results presented in Table 3 lead to the conclusions consistent with the brightness profile analysis. As expected from surface brightness profiles, M 32, M 105, NGC 3377, NGC 3585, and Sagittarius show the same spectral properties at all central radii, they all have a rather weak soft component. In M 31 and NGC 4278, the significant difference between the spectra is that the luminous soft component is present only in the inner region, not the outer ones, suggesting that the hot gas is centrally concentrated (Bogdán & Gilfanov 2008). In all other galaxies, the soft component dominates at all central radii and can be well-fitted with an optically-thin thermal plasma emission model with temperature in the range of $ kT \approx 0.3{-}0.8 $ keV, in good agreement with previous studies (Randall et al. 2004; Sivakoff et al. 2003; Sarazin et al. 2001; Irwin et al. 2002).

\begin{figure}
\hbox{
\includegraphics[width=6.35cm]{13651f15.eps}\hspace{-0.45c...
...s}\hspace{-0.45cm}
\includegraphics[width=6.35cm]{13651f28.eps} }
\end{figure} Figure 2:

Energy spectra of the 14 galaxies in our sample. All spectra were normalized to the same level of near-infrared brightness and to an assumed distance of 10 Mpc, and background is subtracted. The scales on the x- and y-axes are the same in all panels. For each galaxy, hollow squares (black) show the spectrum of the inner region, while filled circles (red) represent the outer region spectrum. In the case of NGC 3377 and Sagittarius spectra of the entire galaxy are shown because of the relatively low number of counts.

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Table 3:   Results of spectral fits of unresolved emission.

Based on radial profiles and spectral analysis, we conclude that the following seven galaxies are relatively gas-poor and may be suitable for our analysis: the bulge of M 31, M 32, M 105, NGC 3377, NGC 3585, NGC 4278, and Sagittarius. In all other cases, the signatures of recent activity of the galactic nucleus and/or large amount of hot gas make the galaxies unsuitable for our study.

4 Results

4.1 Resolved supersoft sources

The high bolometric luminosity, ${\sim} 10^{37}{-}10^{38} \ {\rm erg \ s^{-1}}$, means that some (generally speaking unknown) fraction of the nuclear-burning white dwarfs is detected by Chandra as supersoft sources, despite the low color temperature of their emission. These sources obviously should be included in computing the final X/K ratios. To separate them from LMXBs, we used the spectral properties of compact sources. The temperature of the hydrogen burning layer is in the range of $ T_{{\rm eff}} \sim 30{-}100$ eV, but we conservatively included all resolved sources with hardness ratios corresponding to the blackbody temperature lower than $ kT_{{\rm bb}} <200 $ eV. We used this method for all galaxies, except for M 31, where we relied on the catalog of supersoft sources from Di Stefano et al. (2004). Because of the increased source cell size (Sect. 2.1), some of the sources are merged into one. This may compromise identification of supersoft sources, because some of them could be confused with harder sources and missed in our analysis. To exclude this possibility, we repeated our analysis with a nominal source cell size and did not find any difference in the list of supersoft sources.

Table 4:   X-ray luminosities in the 0.3-0.7 keV band of various X-ray emitting components in gas-poor galaxies.

4.2 LX/LK ratios

The results of our analysis are presented in Table 4. Listed in the table are the X-ray luminosity of unresolved emission $L_{{\rm X,unres}} $, of resolved supersoft sources $ L_{{\rm X,sss}} $, and of ionized gas $L_{{\rm X,gas}}$. From these quantities and from the K-band luminosity of the studied region (Table 1), we computed the X-ray to K-band luminosity ratios - LX/LK. In the case of M 31 and in NGC 4278 we computed LX/LK ratio in the outer regions, where no significant gas emission is detected. The Milky Way value was obtained using the results of Sazonov et al. (2006), who computed the luminosity of active binaries (ABs) and cataclysmic variables (CVs) in the solar neighborhood. The interstellar absorption is negligible in this case. We converted their X-ray-to-mass ratios from the 0.1-2.4 keV band to the 0.3-0.7 keV energy range, using typical spectra of ABs and CVs (see Fig. 3), and assuming a mass-to-light ratio of $ M_{\star}/L_{K} =1.0 $ (Kent 1992).

The obtained ratios are in the range of $ L_{X}/L_{K} = (1.2{-}4.1) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1}$ and show a large dispersion. This dispersion is caused by the large difference in the point source detection sensitivity for the galaxies in our sample (Table 1). To correct for this effect and to bring all galaxies to the same source detection sensitivity, we chose the threshold luminosity of $ 2 \times 10^{36} \ {\rm erg \ s^{-1}} $. In those galaxies that had better source detection sensitivity (M 31 bulge, M 32, M 105, Sagittarius), we did not remove any source fainter than $ 2 \times 10^{36} \ {\rm erg \ s^{-1}} $ in computing the luminosity of ``unresolved'' emission. In the case of NGC 3377 and NGC 3585 having much worse detection sensitivity we subtracted the contribution of unresolved LMXBs in the luminosity range of $2 \times 10^{36} {-} 2 \times 10^{37} \ {\rm erg \ s^{-1}} $ from the measured luminosity of unresolved emission. To estimate the former we used two methods. In the first, we measured the combined X-ray emission from hard resolved sources in this luminosity range in three galaxies, M 31, M 105, and NGC 4278, which allowed us to compute the LX/LK ratio due to such sources for each of these three galaxies. We obtained fairly uniform values with the average number of ${\approx} (1.5 \pm 0.2) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $, where the cited error is the rms of the calculated values. In the second method, the contribution of unresolved hard sources was estimated from the luminosity function of LMXBs (Gilfanov 2004). In the luminosity range of $2 \times 10^{36} {-} 2 \times 10^{37} \ {\rm erg \ s^{-1}} $, the X-ray to K-band luminosity ratio is $ {\approx} 1.4 \times 10^{28} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $ in the 2-10 keV band. To convert this value to the 0.3-0.7 keV energy range we used the average spectrum of LMXBS, described by a power-law model with a slope of $ \Gamma =1.56 $ (Irwin et al. 2003) and assumed a column density of $ N_{\rm H} = 4 \times 10^{20} \ {\rm cm^{-2}} $. The result is $L_{X}/L_{K} \approx (1.7\pm 0.1) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $, which is in reasonable agreement with the value obtained from the first method.

Both methods are based on the assumption that the X/K ratio for LMXBs is the same for all galaxies in the sample. This assumption may be contradicted by the fact that in NGC 3377 and NGC 3585 the predicted luminosity of unresolved LMXBs exceeds the observed luminosity of unresolved emission (Table 3). Incidentally or not, these are the two youngest galaxies in our sample. The possible age dependence of the LMXB X/K ratio cannot be excluded but still needs to be established. On the other hand, the correction due to unresolved LMXBs is less than ${\la} 40\%$ of the observed value of LX/LK (Table 4). This accuracy is sufficient for the present study, whose purpose is to constrain the luminosity of nuclear-burning white dwarfs. Therefore we defer further investigation of the possible effect of inconstant LMXB X/K ratio for a follow-up study.

The X-ray to K-band luminosity ratios transformed to the same point source detection sensitivity are listed in Table 4. These numbers are fairly uniform $ L_{X}/L_{K} = (2.4 \pm 0.4) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $, where, as before, the cited error refers to the rms of the measured values.

4.3 Contribution of unresolved LMXBs

The excellent source detection sensitivity, achieved in the bulge of M 31, and the large number of compact X-ray sources in this galaxy allows us to estimate the contribution of unresolved LMXBs having the luminosities below the adopted threshold of $ 2 \times 10^{36} \ {\rm erg \ s^{-1}} $ to the LX/LK ratio. We consider the inner $ 6 \hbox{$^\prime$ }$ of the bulge where the source detection is complete down to $ 2 \times 10^{35} \ {\rm erg \ s^{-1}} $ (Voss & Gilfanov 2007). In this region we collected all compact sources with the luminosity in the range $2 \times 10^{35} - 2\times 10^{36} \ {\rm erg \ s^{-1}}$, excluding those classified as supersoft sources. The combined X-ray luminosity of these sources is divided by the near-infrared luminosity of the same region, to produce $L_X/L_K= (3.6 \pm 0.3) \times 10^{26} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $. This number represents the LX/LK ratio in the soft band of low-mass X-ray binaries with luminosities in the $2 \times 10^{35} - 2\times 10^{36} \ {\rm erg \ s^{-1}}$ range. We conclude that LMXBs contribute ${\sim} 15 $ per cent to the LX/LK ratio derived above.

4.4 The effect of the interstellar absorption

The possible effect of the interstellar absorption on the observed X-ray luminosities, depends on the energy spectra of the main X-ray emitting components - active binaries and supersoft sources. ABs have significantly harder spectra than supersoft sources, which is illustrated in Fig. 3. The class of ABs is represented by V711 Tau, it was observed by XMM-Newton for 3.2 ks in Obs-ID 0116340601, while RX J0439.8-6809 is an example of steady hydrogen-burning sources, based on a Chandra exposure with 8.1 ks in Obs-ID 83. As a consequence of the harder spectra, ABs are less affected by the interstellar absorption.

\begin{figure}
\par\includegraphics[width=9cm,clip]{13651f29.eps}
\end{figure} Figure 3:

The spectrum of the active binary V711 Tau and of a steady nuclear-burning white dwarf of RX J0439.8-6809. The spectrum of the former was extracted using XMM-Newton data, while the latter was observed by Chandra. The background is subtracted from both spectra.

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\begin{figure}
\par\includegraphics[width=9cm,clip]{13651f30.eps}
\end{figure} Figure 4:

The sensitivity-corrected LX/LK ratio versus Galactic hydrogen column density. The solid line (black) shows the dependence of the absorbed flux on the $N_{\rm H}$ assuming a power-law emission spectrum with slope $\Gamma =2$. The dotted line (green in the color version of this plot) and the dashed-dotted line (red) correspond to the combination of the same power-law with a blackbody spectrum with $kT_{\rm bb}=75$ eV and $kT_{\rm bb}=50$, respectively. For the last two curves equal luminosities of the two components in the 0.3-0.7 keV band was assumed. Milky Way represents the absorption-free LX/LK ratio, and its $N_{\rm H}$ value is shown as an upper limit and is arbitrarily placed along the x-axis.

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In Fig. 4 we plot the corrected X/K ratio ( $\left(L_X/L_K\right)_{\rm corr}$ in Table 3) against the Galactic column density. A weak anti-correlation between these two quantities appears to exist. This dependence or, rather, absence of a stronger one, can be used, in principle, to further constrain the contribution of sources with soft spectra to the X/K ratio. Indeed, the data is roughly consistent with the $N_{\rm H}$ dependence for emission with a power-law spectrum with the slope $\Gamma =2$. The value obtained for the solar neighborhood also fits this dependence well. On the other hand, a much steeper dependence would be expected if a significant fraction (e.g. a half of the unabsorbed flux) of the 0.3 - 0.7 keV emission had a blackbody spectrum with temperature of 50 eV. This suggests that the contribution of sources with soft emission spectra, $kT_{\rm bb}\sim 50 {-}75$ eV is not dominant. The discrepancy decreases quickly, with the temperature of the soft emission and becomes negligible for the blackbody temperature of $kT_{\rm bb}\sim 100$ eV, which has approximately the same dependence as a $\Gamma =2$ power-law. Therefore the contribution of the sources with harder spectra could not be constrained using this method.

Because of the remaining dispersion in the data points caused by unknown systematic effects, the data cannot be adequately fitted in a strict statistical sense by a combination of power-law and soft spectral components with reasonable parameters. For this reason quantitative constraints on the contribution of sources with soft spectra would not be feasible. However, the qualitative conclusion from the analysis of the $N_{\rm H}$ dependence of the LX/LK ratio generally agrees with the result of Sazonov et al. (2006), who conclude that the emission from accreting white dwarfs contributes $ {\lesssim} 1{/}3 $ to the LX/LK ratio of the solar neighborhood in the 0.1-2.4 keV energy band.

4.5 Dependence of LX/LK ratios on the parameters of galaxies

We did not find any obvious correlations of the sensitivity-corrected LX/LK ratios with the mass, metallicity (Terlevich & Forbes 2002), and age (Fig. 5) of the host galaxy. In particular, we tentatively conclude that there is no significant difference between younger ( ${\sim} 3{-}4$ Gyr) and older ( ${\sim} 6{-}12$ Gyr) early-type galaxies in our sample (but see the comment at the end of Sect. 4.2 regarding the possible effect of the inconstant LMXB X/K ratio on the result of the sensitivity correction applied to the two youngest galaxies in our sample).

\begin{figure}
\par\includegraphics[width=9cm,clip]{13651f31.eps}
\end{figure} Figure 5:

The sensitivity-corrected X-ray to K-band luminosity ratio versus the age of the stellar population.

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5 Conclusions

Using Chandra archival data, we measured the X-ray to K-band luminosity ratio in the 0.3-0.7 keV energy band in a sample of nearby gas-poor, early-type galaxies. In computing the X/K ratios, we retained only those components of X-ray emission that could be associated with the emission of steady nuclear-burning white dwarfs, namely unresolved emission and emission of resolved supersoft sources. To this end, we excluded gas-rich galaxies from our sample and removed the contribution of resolved low-mass X-ray binaries. Our final sample contains seven external galaxies covering a broad range of stellar masses and galaxy ages. It was complemented by the solar neighborhood data.

We measured a fairly uniform set of X/K ratios with an average value of $ L_{X}/L_{K} = (2.4 \pm 0.4) \times 10^{27} \ {\rm erg \ s}^{-1} \ L_{K,\odot}^{-1} $. The error associated with this number corresponds to the rms of the values obtained for individual galaxies. We estimated that unresolved low-mass X-ray binaries contribute ${\sim} 15 $ per cent of this value. We did not find any significant dependence of X/K ratios on the parameters of the galaxies, such as their mass, age, or metallicity. There appears to be a weak anti-correlation of X/K ratios with the galactic absorption column $N_{\rm H}$. The relative flatness of this dependence suggests that contribution of the sources with soft spectra $kT_{\rm bb}\lesssim 50{-}75$ eV to this ratio does not dominate. The remaining dispersion in the data points precludes more rigorous and quantitative conclusions.

Acknowledgements

We thank the anonymous referee for his/her useful and constructive comments. This research made use of Chandra archival data provided by the Chandra X-ray Center in the application package CIAO. XMM-Newton is an ESA science mission with instruments and contributions directly funded by ESA Member States and the USA (NASA). This publication makes use of data products from Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the NASA and the National Science Foundation. The Spitzer Space Telescope is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the NASA.

References

  1. Anders, E., & Grevesse, N. 1989, Geochim. Cosmochim. Acta, 53, 197 [Google Scholar]
  2. Baldi, A., Forman, W., Jones, C., et al. 2009, ApJ, 707, 1034 [NASA ADS] [CrossRef] [Google Scholar]
  3. Bellazzini, M., Correnti, M., Ferraro, F. R., et al. 2006, A&A, 446, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  4. Bogdán, Á., & Gilfanov, M. 2008, MNRAS, 388, 56 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  5. Coelho, P., Mendes de Oliveira, C., & Cid F. R. 2009, MNRAS, 396, 624 [NASA ADS] [CrossRef] [Google Scholar]
  6. de Vaucouleurs, G. 1975, ApJS, 29, 193 [NASA ADS] [CrossRef] [Google Scholar]
  7. Dickey, J. M., & Lockman, F. J. 1990, ARA&A, 28, 215 [NASA ADS] [CrossRef] [MathSciNet] [Google Scholar]
  8. Di Stefano, R., Kong, A. K. H., Greiner, J., et al. 2004, ApJ, 610, 247 [NASA ADS] [CrossRef] [Google Scholar]
  9. Ferrarese, L., Mould, J. R., Stetson, P. B., et al. 2007, ApJ, 654, 186 [NASA ADS] [CrossRef] [Google Scholar]
  10. Finugenov, A., Ruszkowski, M., Jones, C., et al. 2008, ApJ, 686, 911 [NASA ADS] [CrossRef] [Google Scholar]
  11. Gilfanov, M. 2004, MNRAS, 349, 146 [NASA ADS] [CrossRef] [Google Scholar]
  12. Gilfanov, M., & Bogdán, Á. 2010, Nature, 463, 924 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  13. Gregg, M. D., Ferguson, H. C., Minniti, D., et al. 2004, AJ, 127, 1441 [NASA ADS] [CrossRef] [Google Scholar]
  14. Greiner, J. 2000, New Astron., 5, 137 [NASA ADS] [CrossRef] [Google Scholar]
  15. Hillebrandt, W., & Niemeyer, J. C. 2000, ARA&A, 38, 191 [NASA ADS] [CrossRef] [Google Scholar]
  16. Irwin, J. A., Sarazin, C. L., & Bregman, J. N. 2002, ApJ, 570, 152 [NASA ADS] [CrossRef] [Google Scholar]
  17. Irwin, J. A., Athney, A. E., & Bregman, J. N. 2003, ApJ, 587, 356 [NASA ADS] [CrossRef] [Google Scholar]
  18. Jarrett, T. H., Chester, T., Cutri, R., et al. 2003, AJ, 125, 525 [NASA ADS] [CrossRef] [Google Scholar]
  19. Jensen, J. B., Tonry, J. L., Barris, B. J., et al. 2003, ApJ, 583, 712 [Google Scholar]
  20. Kent, S. M. 1992, ApJ, 387, 181 [NASA ADS] [CrossRef] [Google Scholar]
  21. Kraft, R. P., Hardcastle, M. J., Sivakoff, G. R., et al. 2008, ApJ, 677, L97 [NASA ADS] [CrossRef] [Google Scholar]
  22. Kunder, A., & Chaboyer, B. 2009, AJ, 137, 4478 [NASA ADS] [CrossRef] [Google Scholar]
  23. Livio, M. 2000, Type Ia Supernovae, Theory and Cosmology, ed. J. C. Niemeyer, J. W. Truran (Cambridge University Press), 33 [Google Scholar]
  24. Macri, L. M. 2001, ApJ, 549, 721 [NASA ADS] [CrossRef] [Google Scholar]
  25. Mateo, M. L. 1998, ARA&A, 36, 435 [NASA ADS] [CrossRef] [Google Scholar]
  26. Mathews, W. G., & Brighenti, F. 2003, ARA&A, 41, 191 [NASA ADS] [CrossRef] [Google Scholar]
  27. Olsen, K. A. G., Blum, R. D., Stephens, A. W., et al. 2006, AJ, 132, 271 [NASA ADS] [CrossRef] [Google Scholar]
  28. Randall, S. W., Sarazin, C. L., & Irwin, J. A. 2004, ApJ, 600, 729 [NASA ADS] [CrossRef] [Google Scholar]
  29. Revnivtsev, M., Sazonov, S., Gilfanov, M., et al. 2006, A&A, 452, 169 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  30. Revnivtsev, M., Churazov, E., Sazonov, S., et al. 2008, A&A, 490, 37 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  31. Sarazin, C. L., Irwin, J. A., & Bregman, J. N. 2001, ApJ, 556, 533 [NASA ADS] [CrossRef] [Google Scholar]
  32. Sazonov, S., Revnivtsev, M., Gilfanov, M., et al. 2006, A&A, 450, 117 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Sivakoff, G. R., Sarazin, C. L., & Irwin, J. A. 2003, ApJ, 599, 218 [NASA ADS] [CrossRef] [Google Scholar]
  34. Stanek, K. Z., & Garnavich, P. M. 1998, ApJ, 503, 131 [Google Scholar]
  35. Terlevich, A. I., & Forbes, D. A. 2002, MNRAS, 330, 547 [NASA ADS] [CrossRef] [Google Scholar]
  36. Tonry, J. L., Dressler, A., Blakeslee, J. P., et al. 2001, ApJ, 546, 681 [NASA ADS] [CrossRef] [Google Scholar]
  37. Voss, R., & Gilfanov, M. 2007, A&A, 468, 49 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  38. Whelan J., & Iben, I. Jr. 1973, ApJ, 186, 1007 [NASA ADS] [CrossRef] [Google Scholar]

Footnotes

... CIAO[*]
http://cxc.harvard.edu/ciao

All Tables

Table 1:   The list of early-type galaxies and galaxy bulges studied in this paper.

Table 2:   The list of Chandra observations used in this paper.

Table 3:   Results of spectral fits of unresolved emission.

Table 4:   X-ray luminosities in the 0.3-0.7 keV band of various X-ray emitting components in gas-poor galaxies.

All Figures

  \begin{figure}
\hbox{
\includegraphics[width=6.35cm]{13651f01.eps}\hspace{-0.45c...
...s}\hspace{-0.45cm}
\includegraphics[width=6.35cm]{13651f14.eps} }
\end{figure} Figure 1:

Surface brightness profiles of the 14 galaxies in our sample in the 0.5-2 keV energy range. All background components were subtracted. Crosses (red) show the distribution of unresolved X-ray emission based on Chandra data, the solid line (black) shows the (arbitrarily) re-normalized near-infrared brightness.

Open with DEXTER
In the text

  \begin{figure}
\hbox{
\includegraphics[width=6.35cm]{13651f15.eps}\hspace{-0.45c...
...s}\hspace{-0.45cm}
\includegraphics[width=6.35cm]{13651f28.eps} }
\end{figure} Figure 2:

Energy spectra of the 14 galaxies in our sample. All spectra were normalized to the same level of near-infrared brightness and to an assumed distance of 10 Mpc, and background is subtracted. The scales on the x- and y-axes are the same in all panels. For each galaxy, hollow squares (black) show the spectrum of the inner region, while filled circles (red) represent the outer region spectrum. In the case of NGC 3377 and Sagittarius spectra of the entire galaxy are shown because of the relatively low number of counts.

Open with DEXTER
In the text

  \begin{figure}
\par\includegraphics[width=9cm,clip]{13651f29.eps}
\end{figure} Figure 3:

The spectrum of the active binary V711 Tau and of a steady nuclear-burning white dwarf of RX J0439.8-6809. The spectrum of the former was extracted using XMM-Newton data, while the latter was observed by Chandra. The background is subtracted from both spectra.

Open with DEXTER
In the text

  \begin{figure}
\par\includegraphics[width=9cm,clip]{13651f30.eps}
\end{figure} Figure 4:

The sensitivity-corrected LX/LK ratio versus Galactic hydrogen column density. The solid line (black) shows the dependence of the absorbed flux on the $N_{\rm H}$ assuming a power-law emission spectrum with slope $\Gamma =2$. The dotted line (green in the color version of this plot) and the dashed-dotted line (red) correspond to the combination of the same power-law with a blackbody spectrum with $kT_{\rm bb}=75$ eV and $kT_{\rm bb}=50$, respectively. For the last two curves equal luminosities of the two components in the 0.3-0.7 keV band was assumed. Milky Way represents the absorption-free LX/LK ratio, and its $N_{\rm H}$ value is shown as an upper limit and is arbitrarily placed along the x-axis.

Open with DEXTER
In the text

  \begin{figure}
\par\includegraphics[width=9cm,clip]{13651f31.eps}
\end{figure} Figure 5:

The sensitivity-corrected X-ray to K-band luminosity ratio versus the age of the stellar population.

Open with DEXTER
In the text


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