Free Access
Issue
A&A
Volume 563, March 2014
Article Number A115
Number of page(s) 12
Section Interstellar and circumstellar matter
DOI https://doi.org/10.1051/0004-6361/201323283
Published online 19 March 2014

© ESO, 2014

1. Introduction

Accretion disks provide an important workbench to probe magnetized plasma dynamics, photoionization, thermal and ionization equilibria. The response of the ionized plasma to changes in the continuum and outflow kinematics may constrain the source that drives winds, the connection between jets, disk, and corona, and possibly the disk geometry. Low-mass X-ray binaries (LMXBs) consist of a neutron star (NS) or black hole (BH) in orbit with a <1 M companion. These sources are characterized by X-ray emission due to hot gas accreted by the compact objects in a form of disks. Some of the NS binaries exhibit X-ray bursts when enough of this material accumulates on the surface of the NS, eventually giving rise to a runaway thermonuclear explosion. Bursts can last up to an hour, but they provide only a few percent of the total fluence (see, e.g., Lewin et al. 1993).

Low-mass X-ray binaries display high flux and simple spectra, whose continuum is typically well described with blackbody (BB) and power-law (PL) emission. The BB component arises from the thermal emission of the accretion disk around the NS. The power-law describes the energy gain of the disk soft photons by scattering in the accretion disk corona, a process known as Comptonization. A few sharp features are seen in the high energy part of the spectra, i.e. above 1 keV. Prominent Fe K emission lines are commonly seen in LMXB high-quality spectra and a clear asymmetry is seen in the line profile, as would be expected if the lines originate from the innermost region of the accretion disk and therefore are subject to strong relativistic effects (see, e.g., Cackett et al. 2012 and references therein).

Most LMXB spectra do not exhibit intrinsic sharp absorption features in the soft X-ray energy band, but they are rich with absorption lines originating in the interstellar medium (ISM) that lies along their line of sight (LOS). The ISM influences the Galactic evolution through the exchange of matter with the stars and shows a complex structure consisting of phases at different equilibrium temperatures (for a review, see Draine 2011). The K-shell transitions of carbon, nitrogen, oxygen, neon, and magnesium, and the L-shell transitions of iron fall in the soft X-ray energy band. The launch of the XMM-Newton and Chandra satellites, provided with high-spectral resolution gratings, permitted us to determine interstellar ionization states and the amounts of dust in the LOS toward several X-ray sources (see, e.g., Paerels et al. 2001; de Vries et al. 2003; Juett et al. 2004; Costantini et al. 2005, 2012; de Vries & Costantini 2009; Kaastra et al. 2009; Lee et al. 2009; Pinto et al. 2010).

Recently, Pinto et al. (2013, hereinafter P13), have performed an extended analysis of the ISM toward nine LMXBs with high-quality XMM-Newton spectra, extracted total abundances, dust depletion factors, and attempted to constrain dust chemistry. They also measured the abundance trends in the Galactic disk and confirmed the well-known metallicity gradient (see, e.g., Pedicelli et al. 2009). However, their interstellar abundances significantly deviate from a monotonic distribution. The extreme case is given by the LMXB SAX J1808.4−3658 (hereinafter SAX J1808) where the neon abundance exceeds the value predicted by the source location by 5σ. The authors of P13 argue that this large scatter may be due to absorption by metal-rich material surrounding the X-ray sources.

Absorption occurring near the source may be distinguished from Galactic absorption when velocity shifts or Doppler broadening are observed. However, the XMM-Newton spectral resolution may not be high enough to resolve them. Recent work by Schulz et al. (2010) on the high-resolution Chandra spectra of LMXB 4U 0614+091 showed a variable Ne K edge with an average velocity smear of ~3500 km s-1 implying a characteristic radius <107 m, consistent with an ultra compact binary (UCB) nature. The variability proves that the excess is intrinsic to the source, but it is not yet clear whether this is due to either neon/oxygen absorption or some other process. Costantini et al. (2012) found an absorption line system in the RGS spectrum of the LMXB 4U1820–30, which may also be described as a ~1200 km s-1 outflow. Ioannou et al. (2003) found evidence of a ~1500 km s-1 C iv outflow in the Hubble Space Telescope (HST) UV spectrum of the LMXB X2127+119.

The X-ray transient SAX J1808 is the first discovered accretion-powered millisecond X-ray pulsar in a LMXB (in ’t Zand et al. 1998; Wijnands & van der Klis 1998). It is relatively nearby (d = 3.5 ± 0.1 kpc, see Galloway & Cumming 2006) and has a column density of ISM NH = (1.40 ± 0.03) × 1025 m-2 (see P13). This NH value combined with the high source flux produces several strong interstellar absorption features in soft X-ray spectra. The source exhibits X-ray bursts showing photospheric expansion (see, e.g., Galloway et al. 2008). These most likely originate in a flash of a pure helium layer that is produced by stable hydrogen burning. This source is thus particularly suitable to study X-ray bursts in great detail and in a large bandpass. Therefore, in ’t Zand et al. (2013), hereinafter ZA13, observed SAX J1808 with Chandra and RXTE during the November 2011 outburst. They detected a single thermonuclear (type-I) burst, the brightest yet observed by Chandra from any source and the second-brightest observed by RXTE. However, they found no evidence for discrete spectral features during the burst, though absorption edges have been predicted to be present in such bursts, and argued that a greater degree of photospheric expansion may be required. The persistent spectrum is instead optimal to study the absorption edges produced by diffuse (ISM) and circumstellar (CSM) media.

In this work, we used the deep observation of SAX J1808 presented in ZA13, which was taken with the Advanced CCD Imaging Spectrometer (ACIS) in combination with the Low-Energy Transmission Grating (LETG) on board Chandra during a high-flux source state as well as the archival observations taken with the Chandra Medium-Energy Grating (MEG) and the XMM-Newton Reflection Grating Spectrometer (RGS).

The paper is organized as follows. In Sect. 2, we present the data reduction. In Sect. 3, we describe the spectral features and the fitting procedure. Alternative methods of analysis are treated in detail in Sect. 4 and 5. In Sect. 6, we analyze the spectral variability. All results and their comparison with previous work are discussed in Sect. 7. Conclusions are given in Sect. 8.

2. The data

In this work, we use the medium-to-high quality gratings observations available for this source as listed in Table 1. The observations concern three different epochs between which SAX J1808 may have experienced significant spectral changes. The first Chandra observation (epoch 1) has a short exposure and it is mainly used for comparative purposes. Most of our work focuses on the XMM-Newton (epoch 2) and especially on the second Chandra (epoch 3) observations.

We reduced the Chandra data following the standard threads provided by the Chandra Interactive Analysis of Observations (CIAO) version 4.5. The bursting period was about 600 s (see ZA13) and has been removed from the event file in order to obtain the spectrum of the persistent emission. The LETGS 1/+1 orders were combined with the CIAO task add_grating_orders. We show the LETGS spectrum of the persistent emission in Fig. 1. We labeled the most relevant spectral features presumably produced by the ISM lying along the LOS are labeled. In order to check whether the bright X-ray burst altered the spectrum during the LETGS observation, we divided the event file in two parts: pre-burst (67.7 ks) and post-burst (32 ks, which includes the burst).

The XMM-Newton dataset was reduced with the Science Analysis System (SAS) version 13.0.1. We did not stack the RGS 1 and 2 spectra to avoid spurious effects due to possible defects in their cross-calibration. However, the RGS spectra as obtained with the newer calibration files do not significantly differ from those shown in P13. We used the full 735 Å RGS spectra. We focus on the 727 Å MEG–LETGS wavelengths ranges because the Chandra spectra are dominated by noise above 27 Å. We model the spectra with SPEX1 version 2.03.03 (Kaastra et al. 1996). We scaled the interstellar abundances to the recommended protosolar or solar system values of Lodders & Palme (2009), to which we simply referred as solar abundances throughout the paper. We adopted χ2-statistics and 1σ errors throughout the paper unless otherwise stated.

Table 1

Log of the observations used in this paper.

thumbnail Fig. 1

Chandra/LETGS spectrum. Absorption lines produced by neutral ISM gas are labeled. Two absorption features presumably originating near the source are shown by a red question mark at 14.0 and 22.6 Å.

3. Spectral features and fitting procedure

3.1. Spectral features

In Fig. 1 we show the neutral absorption edges of Mg (λ = 9.5 Å), Ne (λ = 14.3 Å), Fe (λ = 17.15 and 17.5 Å), and O (λ = 23 Å) of SAX J1808 as seen with the LETGS. Several additional absorption lines are produced by mildly and highly ionized gas species like Ne ii-iii, Ne ix, and all the O ii-viii series. The outer spectral regions do not show additional strong features. The N i 1s2p edge at 31.3 Å is weak because the background dominates above 28 Å.

Since dust may contain a significant amount of neutral iron and oxygen, it is expected to affect the spectral curvature between 17.1−17.6 Å and 22.7−23.2 Å. In their work, P13 detected dust, measured depletion factors, and suggested possible compounds using the XMM-Newton/RGS spectrum.

We also detect two interesting features at 14.0 and 22.6 Å, which are difficult to ascribe to interstellar absorption. The 14.0 Å feature can be described as a blueshifted neon absorption line, while that at 22.6 Å is likely produced by blueshifted oxygen. The Ne ii absorption line has a blueshifted wing with v ~ 500 km s-1 (see also Fig. 2).

3.2. The fitting procedure

We modeled the spectra with two different approaches improving the empirical ISM models given in P13 and the physical models adopted by Pinto et al. (2012), hereinafter P12. We first performed an empirical edge-by-edge analysis of the LETGS spectrum searching for any evidence of ionized gas and dust as well as of blue/red-shifted features. In fitting each edge the choice of the continuum is not critical and a single power law with a slope of about 2.2 is enough to reproduce it. We use the wavelength ranges 12.714.7 Å, 1618.8 Å, and 1826 Å to model the neon, iron, and oxygen edges, respectively.

Afterward, we jointly fit the RGS and LETGS spectra by adopting a continuum consisting of blackbody plus power-law emission and a combination of photo- and collisional-ionization models for the absorbers. In all our fits we fix the hydrogen column density to 1.4 × 1025 m-2, which was measured in P13.

4. Edge-by-edge spectral modeling with LETGS

We first apply an empirical model to measure the column densities without adopting a certain ionization balance. The X-ray absorption lines in our spectra are too narrow to be resolved, which means that velocity widths and column densities are degenerate. We, therefore, fix the velocity dispersion of each absorber to a reasonable value (see below).

4.1. Model description

The atomic species that produce absorption lines in the spectrum have been modeled with the slab model in SPEX, which gives the transmission through a layer of gas with arbitrary ionic column densities. A slab component is required for the cold and warm interstellar gas, which have a similar velocity dispersion of 10 km s-1 (see e.g. P12). Another slab component accounts for the highly-ionized gas, which may have higher turbulence, but its velocity width is forced to range between 10 and 100 km s-1.

The atomic species of the cold gas that produces continuum absorption or lines outside our wavelength range were described with the hot model in SPEX, which calculates the transmission of a collisionally-ionized equilibrium plasma. For a given temperature and set of abundances, the model calculates the ionization balance and then determines all the ionic column densities by scaling to the prescribed total hydrogen column density. We freeze the temperature to the minimum value in SPEX (0.5 eV) to mimic the neutral interstellar gas, but the abundances of oxygen, neon, and iron are fixed to zero because we constrain their column densities through the slab model. The abundances of the other elements are fixed to the solar values.

Dust is modeled with the amol model in SPEX. This calculates the transmission of various molecules around the O and Si K-edge, and the Fe K / L-edges, using measured cross sections of various compounds taken from the literature (see the SPEX manual, Sect. 3.3). The most abundant interstellar compounds are included in this model. Currently, this model accounts for the XANES (X-ray absorption near edge structure) but not for the EXAFS (extended X-ray absorption fine structure).

Any evidence of an absorbing wind intrinsic to the binary system is modeled with additional slab models in which we fit the velocity shift, but we fix the width to 50 km s-1. In summary, the model for the edge-by-edge analysis is defined as: Fempirical=PL·􏽙i=12Sw,i·􏽙i=12Sg,i·H·􏽙j=14Aj.\begin{equation} F_{\rm empirical} = PL \cdot \prod_{i=1}^2S_{{\rm w},i} \cdot \prod_{i=1}^2S_{{\rm g},i} \cdot H \cdot \prod_{j=1}^4A_{j}. \label{eq:empirical_model} \end{equation}(1)Here the power law PL (N,Γ) is absorbed by six components. Two partly-ionized slab absorbers Sw,i  (Ni,vi,σi) describe the wind. Two other slab absorbers Sg,i  (Ni,vi ≡ 0,σi) fit the low/intermediate temperature (i.e. O i-v) and high temperature (i.e. O vi-viii) ISM gas. The hot model H(NH,T,Ai,vi ≡ 0,σi) includes continuum neutral absorption, where NH ≡ 1.4 × 1025m-2, T ≡ 0.5 eV, and AO ≡ ANe ≡ AFe ≡  0. Component A (N1,...,N4) includes up to four molecules and is characterized by the molecular indices and column densities.

thumbnail Fig. 2

Chandra/LETGS data and alternative models near the Ne K edge. See also Table 2. Labels show the lines at their rest wavelengths. The Ne iii and Ne ix lines are at rest and mostly produced by the ISM.

4.2. The Ne K edge

In Fig. 2, we show the neutral absorption edges of neon as seen with LETGS. The Ne i absorption is clearly located at 14.3 Å, but an equally-deep absorption feature is seen at 14.0 Å. Moreover, the Ne ii absorption line at 14.63 Å appears to be blueshifted, while Ne iii and Ne ix are at rest. Note that in P13 the lower resolution of the RGS hampered a full description of the absorption in this spectral region (see the solid black line in Fig. 2 and the first model in Table 2).

We try three alternative models that imply absorption from outflowing gas (see Table 2). The features below 14.1 Å can be described as absorption by Ne i or Ne vi-vii in a fast outflow. The blueshift observed for the Ne ii absorption line can be well modeled only with a slower (~500 km s-1) outflow of weakly ionized gas.

In principle, hot gas near the accretion disk recombines and produces emission lines that can be detected around the neon edge. Therefore, we have also tested an O viii radiative recombination continuum (rrc model in SPEX), which should be located at 14.23, but it did not improve the fit. This was expected since we do not detect any strong O viii emission at 19.0 Å.

In Table 2, we also give the column densities for the relevant ions fitted with these alternative models. We do not show the distribution of Ne iii since it is mainly given by the gas at rest with a (log) column density of 20.0 ± 0.1 and is consistent within the different models.

Table 2

Chandra/LETGS Ne K edge spectral fits (see Sect. 4.2).

4.3. The Fe L edge

The iron L2 and L3 edges are located at 17.15 and 17.5 Å and show a rather complex structure (see Fig. 3). The O vii absorption lines are located at 17.4 and 17.77 Å. It is known that dust also affects the iron absorption edges (see, e.g., Lee et al. 2009). As previously done in paper P13 for the RGS spectrum, we fit the LETGS iron edge by assuming the full ISM model consisting of dust, cold, and hot gas. Neither velocity shift nor broadening is required, which means that most neutral Fe and O vii originate in the ISM. The best fit of the 1618.8 Å wavelength range is summarized in Table 3. The full model for the Fe L edge in the LETGS spectrum and each component are plotted in Fig. 3. The best-fitting dust mixture consists of metallic iron (90%) and hematite (Fe2O3, 10%). The amount of O vii was well constrained by including the O vii 1s–3p (18.63 Å) absorption line. We did not jointly fit the O vii 1s–2p here because near 21.6 Å there are additional lower ionization lines.

thumbnail Fig. 3

Chandra/LETGS Fe L edge (see also Table 3). The absorption of each component is also shown.

Table 3

Chandra/LETGS Fe L edge spectral fits (see also Fig. 3).

4.4. The O K edge

The spectral range between 21.5 and 23.5 Å is rich of absorption features produced by dust and all the atomic species from neutral O i to O vii (see Fig. 4). As previously done for the neon edge, we have tested different spectral models to constrain the significance of the wind. In Table 4 we report three alternative models that have been applied to the 18 − 26 Å spectral range. The first model consists of pure ISM (gas + dust). The best-fit mixture of dust and molecules includes pyroxene MgSiO3 (50%), carbon monoxide CO (40%), and hematite Fe2O3 (10%). The column densities of hematite (on average 1020 m-2) as estimated with the oxygen and iron edges are consistent. Molecules like water ice or O2 are not used since their abundances in the diffuse ISM are thought to be rather low (see, e.g., Jenkins 2009). Moreover, ice can be confused with pyroxene near the O K edge (see appendix in Costantini et al. 2012). The second model has two O i-iv blueshifted slab components with the velocity shifts fixed to those obtained for the neon edge with the two Ne i-ii components (see also Table 2). The third and best-fit model has two blueshifted components with different ionization states. In Fig. 4, we show the details of the Chandra/LETGS O K edge with these three models and the positions of strongest lines at rest. The column densities of O v-vi are not shown because we could only obtain upper limits.

Table 4

Oxygen K edge spectral fits for the LETGS spectrum (see also Fig. 4 and Sect. 4.4 for models detail).

thumbnail Fig. 4

Chandra/LETGS data and alternative models near the O K edge (see Table 4). Labels show the lines at their rest wavelengths.

5. Global spectral modeling

The broadband spectral fits involve the simultaneous use of RGS and LETGS spectra. The MEG spectrum has been separately fitted for a comparison between different epochs. The spectral continuum between the RGS and LETGS epochs is different, while the interstellar absorption is thought not to change. Therefore, we have used the sectors option in SPEX (for more detail see the SPEX manual and cookbook2). This option allowed us to keep the ISM parameters tied between all the observations while separately fitting the continuum of RGS and LETGS. At first, the parameters of the wind are tied between the two datasets to increase the statistics. Afterward, we have unbound these parameters to search for long-term variability in the wind. The RGS 1 and 2 data were treated as a single dataset.

5.1. Model description

For the simultaneous fit of the Mg, Ne, Fe, O, and N absorption edges we have edited the model in Eq. (1) by adopting a certain ionization balance for each gas component. The outflow is described with photoionized gas, which is provided by the xabs model in SPEX. This model produces the transmission of a slab of photoionized material once given the hydrogen column density NH, the ionization parameter ξ, and the abundances Ai.

The ISM modeling improves the multi phase approach used in P12. The neutral gas is still described with the hot model at lowest temperature, but we also fit the O, Ne, and Fe abundances that were fixed to zero during the edge-by-edge modeling. The warm phase is modeled with a combination of photoionized gas and collisionally ionized gas. The former component accounts for the interstellar gas that is photoionized by hot stars radiation, while the latter includes intermediate ions such as O iv-v that are thought to belong to a cooling phase lying between the warm and hot phases. The highly ionized gas responsible for the O vi-viii is described with another collisionally ionized hot component. Molecules and dust are still provided by the amol model.

The continuum consists of a blackbody and a power-law component that reproduce the emission of the accretion disk and the surrounding corona. The physical model is therefore defined as: Fphysical=(PL+BB)·􏽙i=12Xw,i·􏽙i=13Hi·Xg·􏽙j=14Aj,\begin{equation} F_{\rm physical} = (PL + BB) \cdot \prod_{i=1}^2X_{{\rm w},i} \cdot \prod_{i=1}^3H_{i} \cdot X_{g} \cdot \prod_{j=1}^4A_{j}, \label{eq:physical_model} \end{equation}(2)where the power law PL(N,Γ) and the blackbody BB(N,T) are absorbed by seven components. Two photoionized xabs absorbers Xw,i  (NH,i,ξi,Ai,vi,σi) describe the wind. Another xabs absorber Xg provides the warm, photoionized interstellar gas (mostly O ii-iii and Ne ii-iii). Three hot models Hi mimic the cold (O i, T ≡ 0.5 eV), warm-hot (O iv-v), and hot (O vi-viii, T ~ 0.1 keV) interstellar phases.

Abundances of the cold and hot gas are fitted since they may strongly deviate from the solar value due to dust depletion and recent stellar evolution, respectively, while those of the warm phases are fixed to solar. Component A (dust and molecules) is the same as the Component A used in the empirical model.

The choice of the models as defined in Eqs. (1)–(2) is dictated by the results obtained on the edge-by-edge modeling (see Sect. 4), where we have shown alternative models that either provide worse fits or are difficult to justify.

5.2. The RGS–LETGS simultaneous fit

We have jointly applied this global modeling to RGS 1 and 2, and LETGS spectra to maximize the statistics. The LETGS spectrum dominates in the Mg, Ne, and Fe regions because of its higher resolution in this spectral range and the higher flux state of the source during the LETGS epoch. The RGS leads the oxygen and nitrogen modeling due to its larger effective area.

We notice that the physical models in SPEX already take thermal broadening into account and hence the fitted σv is the turbulence component (square-summed to the thermal broadening). As previously done for the edge-by-edge modeling, we adopt σv = 10 km s-1 for both the cold and warm ISM gas components, and σv = 50 km s-1 for the winds (see Table 5). The turbulence of the hot gas is left free, but we force it to range between 10 and 100 km s-1. The parameters of the ISM absorbers are the same for the RGS and LETGS spectral models.

The full-band results obtained with the model in Eq. (2) are shown in Table 5. The fully joint fit is shown in the first column. In this table, we also show the significance expressed in terms of Δ χ2 / degrees-of-freedom for each component in the joint model. The faster wind seems to have a higher ionization state.

Hydrogen only provides continuum absorption in the soft X-ray energy band. Therefore, absolute abundances in the wind are complicated to estimate. We set the value of the oxygen abundance equal to unity and used oxygen as reference atom. The hydrogen column density is the equivalent value obtained by the solar O/H value. All our fits suggested a high (>5) Ne/O abundance.

Table 5

Full-band spectral fits.

5.3. Limitations to the models

There are some factors that may introduce systematic errors in our best fitting models. First of all, the features produced by molecules near the iron and oxygen edges are similar and degenerate. These were already discussed in Costantini et al. (2012) and in P13. We refer to their papers for a thorough discussion of the problems concerning the molecular models. The full-band fits break the degeneracy as much as possible.

Another problem is the presence of several bad pixels or dead columns in the RGS spectra that may affect the estimates of some parameters. This is solved by simultaneously fitting RGS and LETGS spectra, but the correction is only partial if spectral line variability occurs.

Finally, in the modeling of the photoionized absorbers we have used the default ionization balance and spectral energy distribution (SED) in SPEX because there is no simultaneous IR-to-UV coverage of the source. The default SED in SPEX refers to AGN NGC 5548, which certainly differs from that of an X-ray binary like SAX J1808 or from the ISM SEDs. We have tested the SEDs given in P12 that are produced by starlight, local galaxies and QSOs, only local QSOs, and cosmic background radiation plus X-ray background. The fits were comparable and only the ionization parameter shows significant scatter, which is expected since the ionization balance differs between the SEDs (see Table 6). Better modeling of the SED may improve the fit slightly, but this is beyond the scope of this paper. We do not show the other model parameters because they were consistent within the errors.

thumbnail Fig. 5

Chandra/LETGS data and joint RGS–LETGS model (see Table 5) near the oxygen (top panel) and neon (bottom panel) edges. The contributions of the main absorbers are also plotted. Dust is not shown near the Ne K edge because neon is not present in dust. Labels show the lines at their rest wavelengths.

6. Variability

6.1. Long-term variability

The power-law and blackbody fluxes doubled during the LETGS epoch, which may potentially lead to some variability in the winds if they originate near the accretion disk. Therefore, we have performed additional fits by decoupling the column densities and ionization states of the photoionized outflowing absorbers between RGS and LETGS spectra. The kinematics are still coupled because RGS has lower spectral resolution. We fixed all the ISM parameters to those obtained with the fully joint fit and show the results in the second column of Table 5. The slow wind component does not change significantly.

Finally, we separately fitted the archival Chandra/MEG spectrum within 6 − 25 Å. The two wind components are still detected at a level higher than 2σ and are consistent with the LETGS epoch, but the uncertainties are larger due to the short exposure.

thumbnail Fig. 6

Full-band joint RGS–LETGS fits (see also Table 5, first column). Labels show the rest wavelengths and the ionization states of the lines. Blue marks provide the position of the neutral edges. Black points show the RGS spectrum, while the LETGS is in orange.

6.2. Burst-induced variability

According to ZA13, the SAX J1808 thermonuclear burst that occurred during the LETGS epoch was the brightest ever observed with Chandra. They looked for burst-related spectral features by extracting the spectrum during the burst event. Here, we search for any burst-related signature by comparing the integrated spectra extracted by cutting the event file in two (pre- and post-burst) event files in order to maximize the statistics (see Sect. 2).

We have fitted the pre- and post-burst spectra and reported the results in Table 5, third column. There is no significant variability in the wind during the LETGS epoch. The blackbody flux instead is slightly decreased after the burst.

6.2.1. A narrow emission-line component?

On average, SAX J1808 was slightly brighter before the burst. The ratio between the post-burst and pre-burst spectra is generally within or below unity throughout the 7 − 27 Å band. However, there are a few exceptions that are represented by some emission-like features in the post-burst spectrum between 9 and 14 Å (see Figs. 78). The strongest peaks are at 10.5 and 11.1 Å.

Table 6

Full-band (RGS  +  LETGS) spectral fits with different SEDs.

We tentatively fitted these emission-like features with three alternative models involving collisionally-ionized emission (CIE) components (cie model in SPEX). We show the free parameters as well as the changes in the χ2 and the additional degrees of freedom in Table 7. These components reproduce the narrow emission lines well (see Fig. 8) but they require high velocity shifts and high neon abundances.

Similar features are seen in the MEG spectrum, but the low signal-to-noise ratio (S/N) due to the short exposure does not allowed us to put relevant constraints and only one, colder cie component (T < 0.6 keV and v = −(21 ± 3) × 103 km s-1) is marginally detected at a 1.5σ level (see Fig. 9).

Table 7

Emission-line spectral fits of the LETGS spectrum after (and including) the burst events (see also Fig. 8).

7. Discussion

We have analyzed the high-resolution X-ray spectra of the LMXB SAX J1808 taken with the gratings on board XMM-Newton (RGS) and Chandra (LETGS and MEG), which span a period of about six years (see Table 1). We have tried to understand whether the high neon abundance in the ISM as estimated in P13 (and previously by Patruno et al. 2009) was due to interstellar neon enrichment or to some metal-rich absorbing media located near the source.

7.1. The source continuum

The spectral continuum was described with a combination of blackbody and power-law emissions, which reproduce the flux originating from the accretion disk and its corona.

The continuum shape radically changed between the three epochs, which was expected given the transient nature of the source. The disk (blackbody) emission decreased from 2005 (MEG) to 2008 (RGS), while during 2011 (LETGS) it reverted to the early level (see Table 5).

The corona (power law) brightened from 2005 to 2011 and the spectrum generally hardened. The gas surrounding the binary system may have been dynamically affected by the variability of this strong radiation field (see also Sect. 7.2.2).

thumbnail Fig. 7

LETGS spectra before and after/including the burst events together with their models as given in Table 5. Note the emission-like features indicated by the blue arrows in the post-burst spectrum. Data have been binned by a factor of 2 for displaying purposes.

thumbnail Fig. 8

LETGS spectrum after (and including) the burst events together with three alternative CIE models for the emission lines. The dashed blue lines show the shifts from the rest-frame wavelengths. Data have been binned by a factor of 2 for displaying purposes.

thumbnail Fig. 9

Detail of the MEG spectrum near the Ne K edge with three alternative models. The solid black line shows our standard model (see Table 5). The blue dashed line model includes a blueshifted CIE emission. The shifts from the rest-frame wavelengths are shown similar to Fig. 8.

7.2. The wind

We have accurately analyzed the neon absorption edge in Sect. 4.2 and detected several absorption features that were described with alternative absorption models implying blueshifted plasmas at different ionization states (see also Fig. 2). All models provide acceptable fits, but some of them are less feasible. Absorption by fast neutral neon was also used by Schulz et al. (2010) to describe the dynamical neon edge of the UCB 4U 0614+091, but they noticed that it is difficult to produce a large amount of neutral neon in a hot accretion disk. Higher ions should be then detected at similar velocities.

The most reasonable description of the neon edge implies absorption by outflowing gas with velocities of 500 − 1000 km s-1 and a large range of ionization states like Ne ii-vii, which is confirmed by several features produced by O ii-vii outflowing at similar velocities (see Figs. 45).

According to our modeling, this outflowing gas should be in photoionization equilibrium, but there seem to be (at least) two different dynamical states: a faster plasma (1000 km s-1) with higher ionization (Ne vi-vii) and a slower plasma (500 km s-1) with lower ionization (Ne ii-iii). If the wind originates from the accretion disk atmosphere, hence the two states may have risen from different regions / altitudes therein.

Outflows with intermediate ionization states (e.g., O ii-iv) and velocities similar to ours have already been detected in other LMXBs (see, e.g., Ioannou et al. 2003 and Costantini et al. 2012). However, outflowing gas is more often observed at a higher ionization state (see, e.g., Miller et al. 2006). These winds are generally thought to be launched by thermal and/or radiation pressure near the accretion disk atmosphere (for a review, see Diaz Trigo & Boirin 2013 and references therein).

7.2.1. A continuum wind atmosphere ?

It is possible to check if the wind is discrete or continuous in the ξ parameter space through the warm model in SPEX, which is a multi component version of the xabs model. This model consists of a continuous distribution of column density NH as a function of the ionization parameter ξ with the same outflow velocity and turbulent broadening. The model assumes a logarithmic grid of equidistant values of log ξ and determines the value of fi = d NH / dlog  ξi by making a cubic-spline interpolation in the fi − log ξ space (consult the SPEX manual for more detail).

We have thus substituted the two (wind) xabs with one warm model and simultaneously fitted the RGS–LETGS spectra again as previously shown in the first column of Table 5. The goodness of the fit is comparable and the new ISM parameters are fully consistent with those obtained with the standard model. The absorption measure distribution of the warm model is shown in Fig. 10, where the white dashed line gives the best fit, the blue area provides the 1σ contours, and the vertical red dashed lines refer to the two best-fitting ξ values from our standard xabs model. On average, the multi ionization gas has v = −540 ± 30 km s-1 and Ne/O = 7 ± 4 abundance ratio, which are strongly driven by the slower wind due to its higher column density (see Table 5).

The absorption measure modeling confirms the presence of at least two ionization ranges (− 3.5, − 3.0) and (+ 0.5, + 1.0), which are fully consistent with the two best-fit ξ values (−3.3 and + 0.8) from our standard model, but we cannot entirely exclude a continuous, non monotonic ξ distribution. Additional far-ultraviolet (FUV) spectra (unfortunately unavailable for this source) may be necessary to obtain more constraints on the wind ξ distribution.

thumbnail Fig. 10

Absorption measure distribution of the photoionized wind (joint RGS–LETGS warm model). The red lines show the two ξ values obtained with our standard model (see Table 5, first column).

7.2.2. Wind variability

The spectral continuum of SAX J1808 radically changed in the six years between the three observations (see Sect. 7.1). We have searched for variability in the wind absorbers by decoupling their parameters in the simultaneous spectral fits and comparing them to the continuum changes (see Table 5).

The slow component is generally stable within the three epochs. The fast component instead has a lower ionization in the XMM-Newton observation, during which the fluxes of both the accretion disk (blackbody) and the corona (power law) were lower. The Chandra/MEG epoch is characterized by a highly ionized fast wind, a weaker corona, and a brighter accretion disk. The wind parameters do not change between the pre- and post-burst LETGS epochs through which the continuum was mostly stable (see the blackbody and the power law in Table 5).

It is difficult to understand whether and how the ionization state of the fast wind is affected by the continuum, but it seems to depend on the flux of the accretion disk (blackbody). This would suggest an accretion disk origin at least for the fast wind.

7.3. Further insights on the binary system

We obtained velocities within 5001000 km s-1 for the wind. These values are just above the 300400 km s-1 value estimated for the companion by Elebert et al. (2009) through observations of the N iii λ4640.64 Bowen blend. Moreover, they also reported that the H β − γ Balmer absorption lines appear to be significantly blueshifted. This also suggests a disk origin for the wind.

Winds are normally seen at high (≳45°) inclinations where the gas density may be high and the ionization not too high (see, e.g., Diaz Trigo & Boirin 2013 and references therein). This agrees with the values of 50°−60° found for SAX J1808 in the literature (see, e.g., Deloye et al. 2008) and further supports the accretion disk wind.

All of our wind models show a high Ne/O abundance ratio. It is difficult to determine whether this is due to a neon enrichment or to an oxygen depletion in the accretion disk. Spectra in the UV may provide the amount of hydrogen in the outflow.

Recent work dedicated to the measure of the binary system masses came out with a broad range of values: MNS = 0.4−2.2 M and Mdonor = 0.04−0.11 M (see, e.g., Bildsten & Chakrabarty 2001, Deloye et al. 2008, and Wang et al. 2013). The exact values strongly depend on the inclination and distance adopted for the system. However, most authors suggest a brown dwarf companion for SAX J1808.4.

Brown dwarf atmospheres are thought to have subsolar abundances due to the low stellar masses involved (see, e.g., Baraffe et al. 1998 and references therein), but since the binary system is at a small distance, we may not expect large deviation from solar abundances. We have instead found high Ne/O abundances. One reason may be that the companion is a white (rather than a brown) dwarf and has a high neon abundance. Alternatively, the companion may be a brown dwarf and its envelope is significantly exhausted by the accretion and what we currently see is gas extracted from the stellar interior. Finally, if the NS mass is not too high, bursts may have expelled some metal-rich material from its envelope and spread it into the surrounding environment.

It is complicated to obtain more accurate results especially due to the faintness of the companion even in the optical band. A combined FUV/X-ray observation with the high-resolution spectrometers on board HST and Chandra may constrain the chemistry of the accretion disk and provide more insights into the nature of the binary system.

7.4. Alternatives to the wind ?

As previously mentioned, Schulz et al. (2010) found a similar modulation of the neon K edge in the Chandra spectrum of the LMXB 4U 0614+091. They also warned about the feasibility of the very fast wind of neutral neon and proposed a further description involving Doppler-shifted O viii emission. This was supported by the detection of a broad emission-like feature between 17 and 19 Å, which can be identified as a relativistically broadened O viii Lyα line (see also Madej et al. 2010). However, the interpretation of the neon edge in terms of O viii radiative recombination continuum (RRC) required very high velocities and an additional (but not detected) emission line at lower velocities.

We have tested an RRC emission model for the neon edge in the SAX J1808 LETGS spectrum without obtaining interesting results (see Sect. 4.2) and we also noticed that no strong O viii emission is detected around 19 Å (see, e.g., Fig. 4). Another description of the neon edge may yet be possible, but it is problematic to find an alternative explanation for the blueshifted (and somewhat asymmetric) O ii-vii absorption lines (see Fig. 4).

7.5. Line-emitting plasma

We have detected a set of narrow emission lines between 1014 Å in the LETGS spectrum, which includes the event during and after the bright burst (see Sect. 6.2.1). We tentatively modeled them with a single or double CIE component. These require a Ne/O abundance as high as in the wind, but velocities and ionization states higher than the wind by more than an order of magnitude (see Table 7). This suggests that the emitting outflow should originate presumably closer to the NS. The Doppler shifts are within (20−40) × 103 km s-1, or ~0.1 c, and are larger than what has been observed in other systems. Iaria et al. (2013) also analyzed similar high-ionization emission lines in the XMM-Newton and Chandra grating spectra of the LMXB X1822–371, but their Doppler shifts were below 1000 km s-1, and proposed an origin within the accretion disk.

According to ZA13, the SAX J1808 burst is Eddington-limited and therefore could have a wind expelling heavy elements from the NS atmosphere. Expulsion velocities may be up to 0.01 c (Paczynski & Proszynski 1986). Very extreme cases with velocities of about 0.1c have been observed but in more energetic bursts (in ’t Zand & Weinberg 2010).

If the detection of both redshifted and blueshifted emission is real then it could imply a jet originating near the NS and possibly related to its magnetic field. However, the kinematics of the redshifted and blueshifted emitters are different and there is no evidence for relativistical-broadening, which makes this interpretation difficult. The narrowness of the lines rules out possible effects due to the rotation of the system, which would suggest a limited time for the emission.

We could not significantly detect the emission lines in the pre-burst LETGS spectrum (see Fig.7, top panel). These cannot be detected in the RGS, but we notice that the RGS spectral resolution is lower than that of LETGS below 14 Å. The MEG spectrum has a much lower S/N compared with the LETGS spectrum and we only found a 1.5σ detection, which can also be attributed to spectral noise. However, we noticed that this observation was taken one year after an outburst and it was proposed to search for intrinsic spectral features (Galloway et al. 2005). A deep observation taken with the Chandra High-Energy Transmission Grating Spectrometer (HETGS) could determine the nature of the emission line and indicate whether they are burst-related.

7.6. The diffuse interstellar medium

The ISM as seen in the RGS spectra of SAX J1808 (and other eight LMXBs) was extensively studied and described in P13. Therefore, we will briefly discuss our new results on the ISM.

7.6.1. Interstellar phases

In P13 the ISM was decomposed into multi-temperature gas, dust, and molecules. Here we confirm their model. The warm intermediate-ionization gas (O ii-v) cannot be described by a single photo- or collisionally-ionized gas component (see Table 5). The cold (O i) and hot (O vi-viii) phases can instead be well described by one isothermal component each.

7.6.2. Interstellar chemistry

The total abundances of the cold phase are estimated by summing the contributions to the column densities from the neutral gas and dust, and calculating their ratios with the column densities expected from the solar values (once adopted a hydrogen column density of 1.4 × 1025 m-2, see also Sect. 2).

The total abundances are shown in Table 8 with the percentage contributions of gas and dust. The dust depletion factors for O, Mg, and Fe are consistent with those found in the literature (see, e.g., Jenkins 2009 and references therein). Neon is a noble gas and has no depletion. In our standard model, we did not include nitrogen molecules because we could not detect any significant feature from molecules like N2O and because nitrogen depletion is also thought to be low.

The ISM total abundances are fully consistent with the solar values of Lodders & Palme (2009), which is expected because SAX J1808 (l = 25°, d ~ 3 kpc) should be at about 7 kpc from the Galactic center. The LOS toward the source does not cross the inner regions of the Galaxy and therefore the ISM abundances are not strongly affected by the metallicity gradient.

The reason why our updated value for the neon abundance agrees with that of the solar system is due to the subtraction of the absorption contribution due to material intrinsic to the binary system. In principle, the search for CSM absorption could have been done in our previous work, but the lower resolution and the shorter exposure of the available spectra made it difficult.

The (new) ISM abundances also support the wind model. An alternative approach in terms of emission lines for the neon and oxygen edges would indeed require additional absorption at rest and unexpectedly high neon (1.5) and oxygen (1.3) abundances.

The Mg abundance for SAX J1808.4 as estimated in P13 was subsolar. This was probably due to the degeneracy introduced by using molecules that have similar absorption edges such as pyroxene silicates and water ice. Here we prefer not to use water ice both because it is thought to be rare in the diffuse ISM and to avoid the degeneracy. Moreover, the new deep Chandra/LETGS spectrum provided us with higher spectral resolution and S/N necessary for the modeling of the Mg K edge at 9.5 Å.

Table 8

Total abundances and fractionation of the cold neutral phase.

8. Conclusion

In this paper, we have presented a detailed analysis of the soft X-ray spectra at different epochs of the LMXB SAX J1808.4-3658. We have carefully measured the abundances of the ISM, which lies in the LOS toward this source. They all agree with the abundances of the solar system as expected due to the nearness of the source.

In this paper, we took not only the cold ISM phase into account, but we also looked for absorption by gas in the source system. A better modeling of the absorption edges region allowed us to generate precise estimates of elemental abundances. We found an ISM Ne abundance consistent with the solar value, which is less than previously estimated for this source.

We detected gas outflowing at 500−1000 km s-1 as shown by strong, blueshifted absorption lines at different ionization states that are well described with photoionized absorbers. We ascribed the outflow to the photoionized winds that have been observed in several sources (see, e.g., Diaz Trigo & Boirin 2013). These winds are thought to originate from thermal and radiation pressure near the accretion disk. Our velocity estimates are in agreement with the dynamics of the accretion disks, but our ionization parameters are slightly lower than usual. However, we notice that outflows of intermediate-ionization gas have also been observed.

The Ne/O abundance ratio in the wind is supersolar, which would suggest high Ne/O abundances for the donor star if the wind originates from the accretion disk. This would disagree with the hypothesis of the companion to be a brown dwarf unless the matter is expelled from the stellar interior.

We also detected a system of emission lines in the spectrum of the source after a very powerful burst was exhibited. These lines can be well modeled with collisionally-ionized gas, originating presumably closer to the compact object, but they require very high Doppler velocities (v ~ 0.1 c). Additional, higher-resolution X-ray (MEG) and FUV (HST) observations covering the 1−20 Å and 1000−2000 Å spectral ranges can improve the abundance estimates of the winds and the interpretation of the emitting plasma.

Our method can be easily tested in several X-ray binaries to search for wind signatures and to probe the local circumstellar and the diffuse ISMs.


Acknowledgments

This work is based on observations obtained with XMM-Newton, an ESA science mission funded by ESA Member States and the USA (NASA), and data provided by the Chandra X-ray Center (CXC). We also thank the Royal Society for support and the anonymous referee for useful comments which improved the clarity and quality of the paper.

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All Tables

Table 1

Log of the observations used in this paper.

Table 2

Chandra/LETGS Ne K edge spectral fits (see Sect. 4.2).

Table 3

Chandra/LETGS Fe L edge spectral fits (see also Fig. 3).

Table 4

Oxygen K edge spectral fits for the LETGS spectrum (see also Fig. 4 and Sect. 4.4 for models detail).

Table 5

Full-band spectral fits.

Table 6

Full-band (RGS  +  LETGS) spectral fits with different SEDs.

Table 7

Emission-line spectral fits of the LETGS spectrum after (and including) the burst events (see also Fig. 8).

Table 8

Total abundances and fractionation of the cold neutral phase.

All Figures

thumbnail Fig. 1

Chandra/LETGS spectrum. Absorption lines produced by neutral ISM gas are labeled. Two absorption features presumably originating near the source are shown by a red question mark at 14.0 and 22.6 Å.

In the text
thumbnail Fig. 2

Chandra/LETGS data and alternative models near the Ne K edge. See also Table 2. Labels show the lines at their rest wavelengths. The Ne iii and Ne ix lines are at rest and mostly produced by the ISM.

In the text
thumbnail Fig. 3

Chandra/LETGS Fe L edge (see also Table 3). The absorption of each component is also shown.

In the text
thumbnail Fig. 4

Chandra/LETGS data and alternative models near the O K edge (see Table 4). Labels show the lines at their rest wavelengths.

In the text
thumbnail Fig. 5

Chandra/LETGS data and joint RGS–LETGS model (see Table 5) near the oxygen (top panel) and neon (bottom panel) edges. The contributions of the main absorbers are also plotted. Dust is not shown near the Ne K edge because neon is not present in dust. Labels show the lines at their rest wavelengths.

In the text
thumbnail Fig. 6

Full-band joint RGS–LETGS fits (see also Table 5, first column). Labels show the rest wavelengths and the ionization states of the lines. Blue marks provide the position of the neutral edges. Black points show the RGS spectrum, while the LETGS is in orange.

In the text
thumbnail Fig. 7

LETGS spectra before and after/including the burst events together with their models as given in Table 5. Note the emission-like features indicated by the blue arrows in the post-burst spectrum. Data have been binned by a factor of 2 for displaying purposes.

In the text
thumbnail Fig. 8

LETGS spectrum after (and including) the burst events together with three alternative CIE models for the emission lines. The dashed blue lines show the shifts from the rest-frame wavelengths. Data have been binned by a factor of 2 for displaying purposes.

In the text
thumbnail Fig. 9

Detail of the MEG spectrum near the Ne K edge with three alternative models. The solid black line shows our standard model (see Table 5). The blue dashed line model includes a blueshifted CIE emission. The shifts from the rest-frame wavelengths are shown similar to Fig. 8.

In the text
thumbnail Fig. 10

Absorption measure distribution of the photoionized wind (joint RGS–LETGS warm model). The red lines show the two ξ values obtained with our standard model (see Table 5, first column).

In the text

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