Free Access
Issue
A&A
Volume 570, October 2014
Article Number L2
Number of page(s) 4
Section Letters
DOI https://doi.org/10.1051/0004-6361/201424788
Published online 14 October 2014

© ESO, 2014

1. Introduction

IGR J17361-4441 (hereafter J17361) is a hard X-ray transient discovered by INTEGRAL (Winkler et al. 2003) in the globular cluster NGC 6388 (Gibaud et al. 2011). The first INTEGRAL detection of the source was reported on 2011 August 11, but the off-line analysis of Swift /BAT data revealed that the outburst might have started about 14 days earlier (Del Santo et al. 2014, hereafter S14). The total duration of the event was estimated to be ~200 days (Bozzo et al. 2012). A Chandra observation performed on 2011 August 29 revealed that the source was located outside the dynamic center of the globular cluster and thus ruled out the hypothesis that the dormant intermediate mass blackhole (IMBH) suspected to be hosted in NGC 6388 could have experienced an episode of enhanced accretion (Lanzoni et al. 2007; Pooley et al. 2011).

The duration of the X-ray outburst from J17361 was reminiscent of what is typically observed from BH X-ray binaries. However, the stringent upper limit obtained on the source radio emission seriously challenged this interpretation (Ferrigno et al. 2011). More controversial was the attempt to classify the source as a neutron star (NS) X-ray binary. On one hand, the localization of J17361 within the globular cluster NGC 6388 ruled out the possibility of J17361 being a high mass X-ray binary. On the other hand, during outbursts NS low mass X-ray binaries (LMXBs) often display pulsations down to millisecond periods and/or thermonuclear explosions. Neither of these phenomena were observed from J17361 (Bozzo et al. 2011), thus leaving margins for alternative possibilities.

An interesting interpretation of the nature of J17361 was proposed by S14. These authors showed that the source X-ray luminosity decayed during the last ~70 days of the outburst following a t−5/3 profile that is typical of tidal disruption events (TDEs). Given the lack of any extended galaxy in the HST observations performed in the direction of J17361, they proposed that the TDE was of Galactic origin and was caused by the disruption of a terrestrial-icy planet by a white dwarf (WD). As the latter has a typical accretion efficiency around 10-4, the accreted mass during the entire outburst was estimated to be ~2 × 1027 g. The authors also suggested that the soft thermal component with a temperature kT ~ 0.08 keV and a radius ~12 600 km detected in the broadband spectrum of the source (0.4100 keV) originated from the fall-back disk formed around the WD during the TDE.

In this letter we report on the timing and spectral analysis of an XMM-Newton observation that was performed about 42 days after the onset of the outburst from J17361.

2. Data analysis

The XMM-Newton (Jansen et al. 2001) observation of J17361 was carried out on 2011 September 23 for about 42.3 ks. The EPIC-pn was operated in timing mode, while the two MOS cameras were in full frame. We reduced these data by using the SAS version 13.5 and the latest calibrations files available on the XMM-Newton repository1. The observation was not affected by intervals of high flaring background, and thus we retained the entire exposure time available for the following analysis. For the EPIC-pn the source lightcurve and spectra were extracted in the energy range 0.612 keV2 by selecting CCD columns comprised between 34 and 42. The background was extracted by using columns comprised between 3 and 14. We verified a posteriori that different reasonable choices of the source and background extraction regions did not affect significantly our final results. Two lightcurves of the source were extracted in the 0.61 keV and 112 keV energy bands. The lightcurves, background-subtracted and corrected for all relevant instrumental effects with the epiclccorr task, were rebinned adaptively in order to achieve in each time bin a signal-to-noise ratio S/N ≥ 10 and calculate the corresponding hardness ratio (HR; for the adaptive rebinning technique see Bozzo et al. 2013). No significant HR variations were measured during the observation; we thus extracted a single EPIC-pn spectrum by using all the exposure time available. EPIC-MOS1 and MOS2 data were extracted in the energy range 0.510 keV. Given the relatively high flux of the source, we found that the two MOS were significantly affected by pile-up3. We used the tool epaplot to estimate this effect and removed the pile-up by using an annular extraction region for both cameras centered around the source position with an external radius of 800 pixels (i.e., 40″) and an inner radius of 280 pixels (i.e., 14″). We also analyzed RGS data and extracted the source spectra by following standard procedures4. Throughout this paper, uncertainties are given at 90% c.l., if not stated otherwise.

On the MOS images we noticed the presence of stray-light photons due to a bright source located outside the field of view. The stray-light features extended down to the boundary of the source point-spread-function. The above mentioned external radius of the MOS annular extraction region was chosen in order to avoid the largest contamination from the stray-light features. For the EPIC-pn data in timing mode, no stray-light correction is possible, as the camera provide limited spatial information in this operating mode. We note, however, that for a source as bright as J17361 the stray-light photons are usually thought to cause a negligible contamination in the EPIC and RGS data. The collecting area of these photons is indeed only a few cm2 (Stockman et al. 1998), corresponding to about 0.2% of the on-axis collecting area5. In order to verify that no significant contamination of the data took place, we performed both simultaneous fits with all EPIC and RGS spectra and with the MOS spectra alone, as the latter could be reasonably well corrected for stray light. The EPIC spectra were rebinned to have at least 25 photons per bin and prevent an oversampling of the energy resolution of the instruments by more than a factor of three. The RGS spectra were characterized by a relatively low statistics and no significant emission or absorption line could be revealed. We thus grouped these spectra in order to have at least 100 photons per bin and improve the S/N.

thumbnail Fig. 1

All spectra of J17361 extracted during the XMM-Newton observation. The EPIC-pn spectrum is represented in black, the MOS1 in red, the MOS2 in green, and the combined RGS1 and RGS2 first (second) order spectra in blue (magenta). The best fit is shown, together with the residuals from the fit.

First, we performed a simultaneous fit of all XMM-Newton spectra by using a simple absorbed (phabs in Xspec) power-law model (see Fig. 1). This fit gave an unacceptable result with χred2/d.o.f.=4.1/633\hbox{$\chi^2_{\rm red}/{\rm d.o.f.}=4.1/633$}. We thus used the same spectral model proposed by S14 and added a diskBB component with temperature kT ≃ 0.08 keV and substituted the simple power law with a cutoffpl. This model provided a reasonably good description of the data (χred2=1.44/631\hbox{$\chi^2_{\rm red} =1.44/631$}). Forcing a higher diskBB temperature and lower normalization made the fit significantly worse (χred22\hbox{$\chi^2_{\rm red} \ga 2$}). We fixed the value of the cut-off energy to that determined by S14 (Ecut = 41 keV) and we note that leaving this parameter free to vary in the fit does not significantly affect the final results. We measured an average absorption column density of NH = (0.53 ± 0.14) × 1022 cm-2, a power-law photon index of Γ = 1.73 ± 0.01, an inner disk temperature of 0.082 ± 0.002 keV, and a radius of (1320+168-145\hbox{$^{+168}_{-145}$})cos(θ)−1/2 km, where θ is the inclination angle of the disk. We also included in the fit the normalization constants between different instruments. The normalization constant of the EPIC-pn was fixed at unity and we obtained CMOS1 = 1.08 ± 0.01, CMOS2 = 1.13 ± 0.01, CRGS1 = 0.92 ± 0.02, and CRGS2 = 0.92 ± 0.03 for the normalization constants of the MOS1, MOS2, and the sum of the RGS first and second order spectra, respectively. Given the relatively limited energy band of the EPIC cameras, an equivalently good fit (χred2=1.45/630\hbox{$\chi^2_{\rm red} =1.45/630$}) could be obtained by using a compTT component instead of the cut-off power law (as suggested by S14). We did not measure significant changes in the properties of the diskBB component within this model; the soft seed photons temperature of the compTT component turned out to be compatible with the kT reported above. The averaged unabsorbed (absorbed) 0.610 keV flux estimated from the spectral fit was 5.0 × 10-11 erg cm2 s-1 (3.0 × 10-11 erg cm2 s-1). This corresponds to a luminosity of 1036 erg s-1 at a distance of 13.2 kpc (see S14 and references therein). We verified that the relatively large χred2\hbox{$\chi^2_{\rm red}$} of the fit was due to noisy spectral bins, and no systematic trend appeared that could suggest the need for additional spectral components. Compatible results (to within larger uncertainties) are obtained by fitting only spectra from the two MOS cameras, proving that stray-light photons are not significantly contaminating the pn data.

We also performed a timing analysis of all EPIC data. The source photons arrival times recorded by the three EPIC cameras were converted to the solar system barycenter using the source position determined by Chandra (Pooley et al. 2011). As the EPIC-pn was the only instrument giving a time resolution high enough (3 × 10-5 s) to search for periodic signals up to high frequencies, we made use of the data from this camera to investigate the presence of coherent signals. No significant detection (3σ) was found in the frequency range 10-3150 Hz. In order to verify if J17361 was part of a binary system, we also searched for coherent signals by using shorter integration times for the power density spectra (PDS) of 3.96 ks. Even in this case, no significant detection was found and we estimated a 3σ c.l. upper limit of 5.7% on the amplitude of any coherent signal in the spanned frequency range.

The EPIC-pn events (0.612 keV) were later binned every 2.952 ms in order to compute a PDS in each stretch of 219 bins (corresponding to roughly 1.55 ks). All PDSs were then averaged to obtain the result shown in Fig. 2. The averaged PDS displayed a clear broad peak around 100 mHz. We tried to fit this PDS by using a model comprising a white noise component, a flat-top noise component, and a quasi-periodic oscillation (QPO). As significant residuals were left from this fit, a second flat-top component was added to the model (all noise components were modeled through Lorentian functions; Belloni et al. 2002). The best fit results are summarized in Table 1.

In order to search for possible energy dependence of source PDSs, we also extracted them by dividing the EPIC-pn data in the two energy bands 0.61.83 and 1.8312 keV (the energy bands were chosen in order to have roughly the same number of photons in each band). The QPO at ~100 mHz was clearly visible in both PDSs. The PDS extracted in the softer energy band did not require the addition of the higher frequency flat-top noise component in the fit; the other PDS displayed the presence of a second QPO at ~300 Hz, consistent with being the third harmonic of the QPO at ~100 mHz (see Fig. 3). All the results obtained from the fits to the different PDSs are summarized in Table 1. The energy dependence of the RMS for the QPO at ~100 mHz is displayed in Fig. 4. The four energy bands were chosen to have a similar number of photons in each of them.

thumbnail Fig. 2

Epic-pn PDS of J17361 in the energy range 0.612 keV. The PDS has been rebinned geometrically by using a factor of 1.05. The red solid line represents the best-fit model to the data (see Table 1). The residuals from this fit are shown in the bottom panel. Inset shows the PDS obtained from the two MOS, together with the best fit and residuals. The QPO at ~100 mHz is also clearly visible in this PDS.

Table 1

Parameters obtained from the fits to the EPIC-pn PDSs of J17361.

We verified that the QPO at 100 mHz is also detectable when the event files from the two MOS cameras are merged together (see Fig. 2). A fit to the PDS extracted from the combined MOS data gave results compatible with those reported in Table 1 (in this case a model comprising a single flat-top noise component and a QPO at ~100 mHz gave an acceptable fit, as the time resolution of the MOS in full frame is 2.6 s and the high frequency part of the PDS is limited to 0.2 Hz).

thumbnail Fig. 3

Same as Fig. 2, but the PDS here was extracted by using data in the 1.8312.0 keV energy band.

3. Discussion

The nature of the hard X-ray transient J17361 is still elusive because of the lack of clear features in its X-ray emission that could help associate the source with one of the previously known classes of objects displaying months-long X-ray outbursts reaching luminosities of LX ≳ 1037 erg s-1.

thumbnail Fig. 4

Energy dependence of the rms amplitude of the ~100 mHz QPO from J17361.

The XMM-Newton data of J17361 that we have analyzed in this letter provide additional elements to investigate its nature.

The XMM-Newton observation was carried out about 42 days after the first INTEGRAL detection of the source, and took place during the t−5/3 decay phase of the event as reported by S14. The combined fit of all EPIC and RGS spectra confirmed the emission model proposed by these authors, including a soft spectral component with a temperature of kT ~ 0.08 keV. The radius of the thermal emission estimated by XMM-Newton is significantly lower than that reported by S14; however, we note that their value was obtained from the spectral fit to the data extracted to within the first ~8 days from the beginning of the outburst and no information is provided on the evolution of the diskBB radius during the outburst. Furthermore, the absorption column density was fixed in their fit to 0.8 × 1022 cm-2, a value that is not fully consistent with that measured by XMM-Newton. Even though this spectral model does not permit us to fully establish the nature of J17361, we note that the parameters of the diskBB component reported in Sect. 2 would still be consistent with the suggestion that such emission originates from the inner boundary of a WD fall-back disk, if the system is observed at a high inclination (θ> 85 deg for a WD radius in the range 5−8 × 108 cm).

Our analysis also revealed the presence of a 100 mHz QPO in the X-ray emission from J17361. Similar features are commonly detected in several different classes of Galactic and extra-Galactic X-ray sources (see, e.g., van der Klis 2006, and references therein). LMXBs hosting accreting NSs have so far displayed a wide variety of QPOs, spanning frequencies from a few up to ~1300 Hz. These are associated with the motion of material within the NS accretion disk (Alpar & Shaham 1985; Lamb et al. 1985; Titarchuk et al. 1999; Lamb & Miller 2003), and in some cases have been suggested to provide an efficient probe of general-relativistic effects (Stella & Vietri 1998). NS LMXBs hardly show QPOs at lower frequencies, the only exception being the case of mHz QPOs (Revnivtsev et al. 2001). However, these features appear around 79 mHz and are associated with thermonuclear explosions (Strohmayer & Mushotzky 2003; Altamirano et al. 2008; Linares et al. 2012), a phenomenon not observed from J17361. Accreting WD in binary systems have long been known to display QPOs similar to those of NS LMXBs, and the frequency range spanned by these features includes the range of interest for the present analysis (Warner & Woudt 2004). QPOs from accreting WD are detected in both soft X-rays (1 keV) and the UV domain with periods in either the range 0.020.2 Hz or a factor of ~1020 larger6. The lower frequency features are usually called Dwarf Novae Oscillations (DNOs), as they are observed in the lightcurves of dwarf novae outbursts and have quality factors 103 < Q < 107. The features at higher frequencies have instead quality factors closer to those of QPOs in LMXBs (Q ~ 5−20). It has been proposed that DNOs are the equivalent of the kHz QPOs in LMXBs, and thus such features are interpreted as being due to the motion of material close to the inner boundary of the accretion disk surrounding the WD (see Warner & Woudt 2002; Wheatley et al. 2003, and references therein). Because the Keplerian frequency of material orbiting in a disk is νk = 1/2π(GMCO/RCO3\hbox{$R_{\rm CO}^3$})1/2 (MCO and RCO are the compact object mass and radius), QPOs are expected at kHz for a NS system (RCO ~ 106 cm) and at ~100 mHz in the WD case (RCO ~ 5−8 × 108 cm).

Even though DNOs would have frequencies comparable with that of the QPO observed from J17361, the latter is detected up to much higher energies than those typical of the former. In particular, the QPO RMS fractional amplitude peaks at ~1.21.8 keV and it is still significantly larger than zero up to 12 keV. As the thermal component with kT ≪ 1 keV detected from J17361 was interpreted as originating from the inner boundary of the accretion disk around the WD, it seems unlikely that such hard QPO can be formed in this region. As noticed by S14, the hard X-ray luminosity emitted during the event recorded from J17361 would require the presence of a hot corona in which hot electrons are able to up-scatter the soft photons emitted from the disk to higher energies through inverse-Compton. One could argue that, if the corona is located around the accretion flow and close to the disk inner boundary, it might provide the required environment where the soft QPO photons are up-scattered to higher energies.

It is worth noticing that the QPO revealed from J17361 looks remarkably similar to other timing features observed from Ultra-Luminous X-ray sources (ULXs; Strohmayer & Mushotzky 2003; Dewangan et al. 2006). The nature of QPOs in these objects is still a matter of debate (Pasham & Strohmayer 2013), but it has been proposed that they could be related to the motion of material close to the last stable orbit around a central BH. ULX QPOs have thus been used to weight the total mass contained in these systems and could provide support in favor of the IMBH model proposed to interpret the ULX nature. A similar interpretation holds for the ~5 mHz QPO detected from the TDE around the supermassive BH Swift J164449.3+573451 (Reis et al. 2012). The possibility of J17361 being an extra-Galactic source has been considered unlikely by S14 because of its inclusion in the globular cluster NGC 6388 and the lack of extended sources detected by HST in that direction.

We thus conclude that, although it is difficult to completely rule out different possibilities for the nature of J17361, the results obtained from the analysis of the XMM-Newton data are compatible with the TDE suggestion proposed by S14. Further observations of similar events with the next generation of large area X-ray instruments (e.g., those on-board LOFT; Feroci et al. 2014) will help understanding the nature of puzzling timing features, as that observed from J17361.


2

Data below 0.6 keV were discarded in order to avoid residual calibration uncertainties, see http://xmm2.esac.esa.int/ docs/documents/CAL-TN-0018.pdf

6

Longer-period DNOs were also observed in some cases (Warner & Woudt 2004).

Acknowledgments

T.M.B. acknowledges support from PRIN INAF 2012-6 “Accreting X-ray binaries: understanding physics through periodic and aperiodic variability”. A.P. is supported by a Juan de la Cierva fellowship, and acknowledges grants AYA2012-39303, SGR2009- 811, and iLINK2011-0303.

References

  1. Alpar, M. A., & Shaham, J. 1985, Nature, 316, 239 [NASA ADS] [CrossRef] [Google Scholar]
  2. Altamirano, D., van der Klis, M., Wijnands, R., & Cumming, A. 2008, ApJ, 673, L35 [NASA ADS] [CrossRef] [Google Scholar]
  3. Belloni, T., Psaltis, D., & van der Klis, M. 2002, ApJ, 572, 392 [NASA ADS] [CrossRef] [Google Scholar]
  4. Bozzo, E., Ferrigno, C., Stevens, J., et al. 2011, A&A, 535, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  5. Bozzo, E., Ferrigno, C., Gibaud, L., et al. 2012, The Astronomer’s Telegram, 3958, 1 [NASA ADS] [Google Scholar]
  6. Bozzo, E., Romano, P., Ferrigno, C., et al. 2013, A&A, 556, A30 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  7. Del Santo, M., Nucita, A. A., Lodato, G., et al. 2014, MNRAS, 444,93 [NASA ADS] [CrossRef] [Google Scholar]
  8. Dewangan, G. C., Griffiths, R. E., & Rao, A. R. 2006, ApJ, 641, L125 [NASA ADS] [CrossRef] [Google Scholar]
  9. Feroci, M., den Herder, J. W., Bozzo, E., et al. 2014, Proc. SPIE 9144, Space Telescopes and Instrumentation 2014: Ultraviolet to Gamma Ray, 91442 [Google Scholar]
  10. Ferrigno, C., Bozzo, E., Falanga, M., et al. 2011, A&A, 525, A48+ [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Gibaud, L., Bazzano, A., Bozzo, E., et al. 2011, The Astronomer’s Telegram, 3565, 1 [NASA ADS] [Google Scholar]
  12. Jansen, F., Lumb, D., Altieri, B., et al. 2001, A&A, 365, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Lamb, F. K., & Miller, M. C. 2003 [arXiv:astro-ph/0308179] [Google Scholar]
  14. Lamb, F. K., Shibazaki, N., Alpar, M. A., & Shaham, J. 1985, Nature, 317, 681 [NASA ADS] [CrossRef] [Google Scholar]
  15. Lanzoni, B., Dalessandro, E., Ferraro, F. R., et al. 2007, ApJL, 668, L139 [NASA ADS] [CrossRef] [Google Scholar]
  16. Linares, M., Altamirano, D., Chakrabarty, D., Cumming, A., & Keek, L. 2012, ApJ, 748, 82 [NASA ADS] [CrossRef] [Google Scholar]
  17. Pasham, D. R., & Strohmayer, T. E. 2013, ApJ, 771, 101 [NASA ADS] [CrossRef] [Google Scholar]
  18. Pooley, D., Homan, J., Heinke, C. O., et al. 2011, The Astronomer’s Telegram, 3627, 1 [NASA ADS] [Google Scholar]
  19. Reis, R. C., Miller, J. M., Reynolds, M. T., et al. 2012, Science, 337, 949 [NASA ADS] [CrossRef] [Google Scholar]
  20. Revnivtsev, M., Churazov, E., Gilfanov, M., & Sunyaev, R. 2001, A&A, 372, 138 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  21. Stella, L., & Vietri, M. 1998, ApJ, 492, L59 [NASA ADS] [CrossRef] [Google Scholar]
  22. Stockman, Y., Domken, I., Hansen, H., et al. 1998, in EUV, X-Ray, and Gamma-Ray Instrumentation for Astronomy IX, eds. O. H. Siegmund, & M. A. Gummin, SPIE Conf. Ser., 3445, 62 [Google Scholar]
  23. Strohmayer, T. E., & Mushotzky, R. F. 2003, ApJ, 586, L61 [NASA ADS] [CrossRef] [Google Scholar]
  24. Titarchuk, L., Osherovich, V., & Kuznetsov, S. 1999, ApJ, 525, L129 [NASA ADS] [CrossRef] [Google Scholar]
  25. van der Klis, M. 2006, Rapid X-ray Variability, ed. W. H. G. Lewin, & M. van der Klis, 39 [Google Scholar]
  26. Warner, B., & Woudt, P. A. 2002, in The Physics of Cataclysmic Variables and Related Objects, eds. B. T. Gänsicke, K. Beuermann, & K. Reinsch, ASP Conf. Ser., 261, 406 [Google Scholar]
  27. Warner, B., & Woudt, P. A. 2004, in IAU Colloq. 190: Magnetic Cataclysmic Variables, eds. S. Vrielmann, & M. Cropper, ASP Conf. Ser., 315, 85 [Google Scholar]
  28. Wheatley, P. J., Mauche, C. W., & Mattei, J. A. 2003, MNRAS, 345, 49 [NASA ADS] [CrossRef] [Google Scholar]
  29. Winkler, C., Courvoisier, T., Di Cocco, G., et al. 2003, A&A, 411, L1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]

All Tables

Table 1

Parameters obtained from the fits to the EPIC-pn PDSs of J17361.

All Figures

thumbnail Fig. 1

All spectra of J17361 extracted during the XMM-Newton observation. The EPIC-pn spectrum is represented in black, the MOS1 in red, the MOS2 in green, and the combined RGS1 and RGS2 first (second) order spectra in blue (magenta). The best fit is shown, together with the residuals from the fit.

In the text
thumbnail Fig. 2

Epic-pn PDS of J17361 in the energy range 0.612 keV. The PDS has been rebinned geometrically by using a factor of 1.05. The red solid line represents the best-fit model to the data (see Table 1). The residuals from this fit are shown in the bottom panel. Inset shows the PDS obtained from the two MOS, together with the best fit and residuals. The QPO at ~100 mHz is also clearly visible in this PDS.

In the text
thumbnail Fig. 3

Same as Fig. 2, but the PDS here was extracted by using data in the 1.8312.0 keV energy band.

In the text
thumbnail Fig. 4

Energy dependence of the rms amplitude of the ~100 mHz QPO from J17361.

In the text

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