A&A 460, 811-819 (2006)
DOI: 10.1051/0004-6361:20066198
F. Haberl - U. Geppert - B. Aschenbach - G. Hasinger
Max-Planck-Institut für extraterrestrische Physik, Giessenbachstraße, 85748 Garching, Germany
Received 7 August 2006 / Accepted 13 September 2006
Abstract
Context. We report on XMM-Newton observations of SN 1987 A in the Large Magellanic Cloud.
Aims. The large collecting area telescopes together with the European Photon Imaging Cameras (EPIC) provide X-ray spectra with unprecedented statistical quality and make it possible to investigate the spectral evolution during the brightening observed since the discovery in X-rays. High resolution spectra from the Reflection Grating Spectrometers yield a complementary view and allow us to perform more detailed investigations of prominent emission lines.
Methods. The X-ray spectra were modeled with two-temperature emission components from a hot plasma in collisional ionization equilibrium and in non-equilibrium (NEI).
Results. We find a temperature for the equilibrium component of 0.24 0.02 keV in January 2000 and April 2001 which increased to 0.30
0.02 keV in May 2003 and also an indication for a temperature increase in the hot NEI component from
2 keV to
3 keV. Emission line ratios inferred from the RGS spectra suggest temperatures as low as 100 eV and an increase in the ionization state of oxygen and neon consistent with the observed temperature increases. The fast readout of the EPIC-pn instrument yields X-ray fluxes free of CCD pile-up effects which we used to normalize pile-up corrections for the published Chandra fluxes. The corrected X-ray light curve of SN 1987 A in the 0.5-2.0 keV energy band is best represented by a linear increase up to about day 4000 after the explosion and an exponential rise afterwards until the last published Chandra observation on day 6716. Modeling the light curve by emission from the inner ring which is approximated by a circular torus a central density
cm
is found. In this model the forward shock has just passed the center of the torus.
Conclusions. SN 1987 A continues to brighten exponentially in soft X-rays. The X-ray spectra can be represented by pure thermal emission without significant contribution from a compact object yet.
Key words: ISM: supernova remnants - stars: supernovae: general - stars: supernovae: individual: SN 1987 A - X-rays: general - X-rays: stars
The first supernova observed in 1987 (SN 1987 A) went off in the Large Magellanic Cloud (LMC) on 23 February. This event with observations involving the entire electromagnetic spectrum and the first detection of cosmic neutrinos brought about a number of astrophysical surprises, some of which are puzzling still today. In this paper we concentrate on the observations of soft (0.1-3 keV) X-ray emission since the explosion, thought to arise from the interaction of shocks with the ambient circumstellar medium, and possibly a central compact object like a neutron star. We present and summarize for the first time the full set of previous data, which to some extent have been re-calibrated, and we add the XMM-Newton observations.
The first attempts to search for soft X-rays were made in August 1987 with sounding rockets carrying
imaging telescopes. An upper limit of
erg s
could be established which
excluded an ambient dense and slow wind typical for a red supergiant wind, but which is
still compatible with a blue supergiant (Aschenbach et al. 1987).
X-rays from SN 1987 A became clearly visible in the ROSAT images not much before spring 1992
(Beuermann et al. 1994; Gorenstein et al. 1994). The monitoring of SN 1987 A with ROSAT revealed a
slow, but steady increase in flux over the first years
(Hasinger et al. 1996). The
brightening continues since then but with increasing pace.
(Park et al. 2002; Burrows et al. 2000; Park et al. 2005,2004).
Chandra has taken images of SN 1987 A since late 1999, which show a ring-like emission region steadily
growing in diameter. Details of the ring structure became apparent in the meantime. These structural features
are correlated with the optical hot spots, first discovered in earlier
images taken with the Hubble Space Telescope (HST). These optically bright spots evolve quite rapidly and they now seem to
completely engulf the so-called inner ring
(Lawrence et al. 2000; McCray 2005).
The ring with its fairly high matter density existed before the explosion and was detected by re-emitted light of the prompt supernova EUV flash. A substantial heating, up to X-ray temperatures, of the ring was predicted for the period between 2002 and 2010 when the supernova shock wave would have reached and entered the ring. Both the optical and X-ray images and the X-ray light curve demonstrate that this state has been arrived at. Hope is that we can learn more about the details of the interaction process, the origin of the ring as well as of the progenitor star and its evolution by X-ray spectroscopy.
Table 1: XMM-Newton observations of SN 1987 A and data selection.
The medium energy resolution X-ray spectrum measured by the Chandra ACIS detector is composed of two emission components with
temperatures kT of 2.4 keV and
0.22 keV, which sometimes are interpreted as contributions from the
blast wave shock and the decelerated slow shock, respectively (Michael et al. 2002; Park et al. 2004). The strong
brightness increase made it also possible to obtain high resolution X-ray spectra with the Chandra LETG.
A total exposure of 289 ks was accumulated between August 26 and September 5, 2004.
Inferred temperatures from the emission line ratios range from 0.1 to 2 keV and expansion velocities are
found between 300 and 1700 km s-1 (Zhekov et al. 2005).
One other outstanding issue is the existence and the time of appearance of a central compact remnant like
a neutron star. So far the results have been negative. The most stringent upper limits for an X-ray point source in the
newly born supernova remnant are based on the analysis
of Chandra images in the 2-10 keV band with < 1.5
1034 erg s-1 (Park et al. 2004) and
on INTEGRAL measurements in the 20-60 keV band (
< 1.1
1036 erg s-1, Shtykovskiy et al. 2005).
The HST derived optical limit is
< 5
1033 erg s-1 (Graves et al. 2005).
XMM-Newton observed SN 1987 A on several occasions. Here, we report the results of the spectral analysis of the data with the highest statistical quality available to date, making use of the EPIC cameras and the RGS spectrometers.
XMM-Newton (Jansen et al. 2001) observations from three epochs were used to investigate the spectral evolution of SN 1987 A (for observation details see Table 1). The 30 Doradus region in the Large Magellanic Cloud was selected for first-light including SN 1987 A at an off-axis angle of about 7 arcmin (Dennerl et al. 2001). Five exposures were taken with the EPIC-pn instrument (Strüder et al. 2001) in full-frame (FF) imaging mode which we use for spectral analysis as described by Haberl et al. (2001). Exposures with the same instrumental setup (pointing direction, optical blocking filter) were merged resulting in three EPIC-pn "first-light'' spectra of SN 1987 A from January 2000. An observation at a second epoch in April 2001 was performed utilizing all instruments on board of XMM-Newton; the CCD cameras EPIC-pn and EPIC-MOS (Turner et al. 2001) and the Reflection Grating Spectrometers (RGS, den Herder et al. 2001). For spectral analysis we use the EPIC-pn data from this observation.
Spectra from all instruments were accumulated from the 100 ks observation
performed in May 2003 when the source was sufficiently bright such that the long exposure yielded
spectra with sufficient statistical quality for all instruments.
During this observation EPIC-pn was set to the faster small-window (SW) CCD readout mode.
For optical light blocking the "medium'' filter was selected in the EPIC cameras,
except during the last part of the first-light observations, when a thin
filter was used.
We screened the data for high background intervals and extracted source and
background spectra of SN 1987 A from circular regions with a
25
radius placed on the source and a nearby point-source free area.
For the EPIC-pn spectra single-pixel (PATTERN 0) events were selected while for EPIC-MOS
all valid event patterns (PATTERN 0 to 12) were used.
The spectra were binned to contain a minimum of 30 and 40 counts per bin for EPIC and RGS,
respectively. Table 1 lists net exposures and net counts accumulated for
the spectra.
The data from satellite revolutions 244 and 626 were processed with SAS release 6.1.0
together with the latest calibration files relevant for spectral analysis of EPIC-pn data
(EPN_REDIST_0010.CCF for the re-distribution matrices and XRT3_XAREA_0010.CCF with an
update to the mirror effective area).
The spectra from revolutions 21/22 were directly taken from the work of
Dennerl et al. (2001) and Haberl et al. (2001) together with new response files mentioned
above.
Spectral fitting was performed using XSPEC (Arnaud 1996) version 11.3.2i.
Table 2: Fit quality of two-temperature models.
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Figure 1: EPIC-pn spectra of SN 1987 A from Jan. 2000, April 2001 and May 2003 (in increasing intensity). The histograms show the best fit model A as defined in Table 2 and parameters listed in Tables 3 and 4. |
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For studying the spectral evolution of SN 1987 A we concentrate on the EPIC-pn data because they provide
the spectra with the highest statistical quality, in particular for the early observations when the source
was still comparatively faint.
We simultaneously fit the five EPIC-pn spectra with different two-temperature
models similar to those applied to Chandra ACIS spectra by Park et al. (2004).
The best results were found using a two component thermal model (cf. Table 2) involving both the collisional ionization equilibrium models
(XSPEC models MEKAL or RAYMOND, Mewe et al. 1985; Raymond & Smith 1977)
and/or the non-equilibrium model (NEI, Borkowski et al. 2001). For the photo-electric foreground absorption
we use a fixed Galactic column density of = 6
1020 cm-2 with the elemental abundances given by
Wilms et al. (2000) and an LMC column density (free in the fit) with the same abundances relative to H but
reduced by a factor of 2
for each element except He (also relative to the Wilms et al. abundances).
The, in comparison with the solar value of Anders & Grevesse (1989),
lower oxygen abundance of Wilms et al. better fits the EPIC spectra around the oxygen K absorption edge.
We allowed some key parameters of the models to vary with time, i.e. they are free parameters for the
individual spectra of different epochs. These are temperature and normalization (given in the
following as emission measure). The ionization timescale in the NEI models was found to be the same within the
error limits for the various spectra and therefore it was used just as one single free parameter
in the combined fit. Similarly, we assumed that the set of elemental abundances used in the emission models
did not change with time as a whole, but we still fit abundances individually for each element. Also for the emission models
abundances relative to those given by Wilms et al. (2000) are used. For the three first-light spectra only
a constant factor was allowed to vary to account for the uncertainties in the net exposure time. However
the spectra agree within 3%.
The energy resolution of the EPIC instruments does not allow to differentiate between the different
two-temperature models. Table 2 summarizes the quality of the fits for the best four models.
The combined EPIC-pn fits yield a somewhat smaller reduced
values for models A, B and C which each involve a
non-equilibrium model for the high energy part of the spectrum. The EPIC-pn spectrum together with the best
fit model A is shown in Fig. 1. We cross-checked the results from
the EPIC-pn fits with the EPIC-MOS and RGS spectra from revolution 626 (earlier spectra have insufficient
statistics) by folding the model through the corresponding detector response (SAS 6.1.0 version) but
optimizing the normalization through a
constant factor. The MOS spectra (Fig. 2) are fully compatible with
the pn results above
0.8 keV. Below that energy the MOS fits suffer from the changing event
redistribution which is not included in the calibration files of SAS 6.1.0. The RGS spectra with their
higher energy resolution (Fig. 3) formally exclude model C (this model produces a strong
line at 0.512 keV which does not exist in the data).
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Figure 2: EPIC-MOS spectra of SN 1987 A from satellite revolution 626. The histograms show the prediction of model A with the best-fit parameter values of the EPIC-pn spectrum except the normalization (a constant scaling factor of 0.98 and 0.99 for MOS1 and MOS2, respectively). |
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Figure 3: RGS spectra of SN 1987 A from satellite revolution 626. The model is as for Fig. 2 with scaling factors 1.01 and 0.98 for RGS1 and RGS2, respectively. |
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In the following we present more detailed results for models A and B. The best fit parameters are summarized in Tables 3 and 4. Model A is a combination of NEI and RAYMOND emission components while model B uses NEI and MEKAL. The medium resolution EPIC-pn spectra can not discriminate between these two models, but we prefer RAYMOND rather than MEKAL because the latter produces a S XIV line at 0.512 keV which is not seen in the data and not present in any other model (see RGS spectra in Fig. 3). Apart from this difference the best fit parameters of model A and model B agree very well within their error limits.
Table 3: Results from the two-temperature model fits to the EPIC-pn spectra - the parameters allowed to vary with time. Fluxes are given in units of 10-13 erg cm-2 s-1 and emission measures EM in 1058 cm-3.
Table 4: Results from the two-temperature model fits to the EPIC-pn spectra - the parameters assumed to be constant with time.
For both models there is clear evidence that both the temperature of the soft (MEKAL/RAYMOND) component as well as the temperature of the hard (NEI) component have increased after the second epoch (rev. 244) observation. This can also be directly seen in the shape of the EPIC-pn spectra below 1 keV where line intensity ratios differ between the spectra from revolutions 244 and 626 (Fig. 1). In particular the Ne IX triplet increased in strength with respect to O VIII. The increase in temperature may be related to the progressing equilibration of electron and ion temperatures.
The EPIC-pn derived best fit model A reproduces most of the emission lines resolved in the high
resolution RGS spectra, except the O VII He-like triplet near 574 eV (Fig. 3),
which suggests that some plasma with temperatures lower than 0.3 keV contributes to the
emission. Oxygen line ratios derived from the September 2004 Chandra LETG spectrum, taken
about 1.5 years after the last XMM-Newton observation, are consistent with lower temperatures
of about 100 eV (Zhekov et al. 2005).
For a quantitative comparison of the line strengths of the most prominent emission lines
seen in the LETG and RGS spectra we modeled the RGS spectra in a way similar to the work of
Zhekov et al. (2005) but with the exception that we modeled both RGS spectra
simultaneously with an absorbed bremsstrahlung component for the continuum and a set of
emission lines with Gaussian line profiles. For completeness, we included all those
emission lines which are detected in the RGS spectra of the bright Magellanic Cloud
supernova remnants 1E 0102.2-7219 (Rasmussen et al. 2001) and N132D
(Behar et al. 2001). This makes sure that no observed emission line is missed
in the model as is the case for the plasma models used above.
The width of all lines was forced to be the same, i.e. one free parameter. This resulted
in a best fit value for the full width at half maximum of
eV which corresponds to
a Doppler velocity of
km s-1.
All line energies were fixed at the laboratory values, but red-shifted by the LMC Doppler shift
of 286 km s-1, which was found to be consistent with the LETG spectrum
(Zhekov et al. 2005). Leaving the common red-shift for all lines as free parameter
in the fits a Doppler velocity of
km s-1 (90% confidence) is inferred from
the RGS spectra. Taking into account the RGS wavelength scale calibration uncertainties of
200 km s-1 the LETG and RGS derived LMC Doppler shifts are consistent
with each other. The line fluxes derived for the fixed Doppler velocity
of 286 km s-1 are listed in Table 5. We assumed 286 km s-1 to allow a direct
comparison with the LETG values published by Zhekov et al. (2005). Simultaneously we
verified that the line fluxes change only marginally when the best-fit Doppler shift of 460 km s-1 is used (the fluxes change by less then 5% which is less than the statistical errors).
As can be seen from the LETG/RGS flux ratios presented in Table 5,
all line intensities except the O VII triplet
increased over the 1.5 years between the XMM-Newton (May 2003) and Chandra (Sep. 2004)
observations, consistent with the trend seen in the
EPIC-pn spectra. Although the errors are relatively large there is an indication that the
ionization degree of O and Ne has increased from the XMM-Newton to the later Chandra observations.
As shown in Table 2 the fit with two ionization equilibrium models, i.e. model D, cannot really be
excluded based on the values of ,
but the models A and B involving non-equilibrium models
appear to fit the data slightly better. In either case the low temperature component is in equilibrium,
which means that the ionization parameter log (
,
whereas it is much lower by about
a factor of 18 for the high temperature component (log (
).
This could mean that the high temperature component
has formed predominantly in a region with a density lower by that factor.
We note that Zhekov et al. (2005) from the September 2004 LETG observation, which took place
about 1.5 years later than the XMM-Newton observation discussed here, find the low temperature component in
equilibrium and the high temperature component out of ionization equilibrium with an ionization parameter
log (
,
which is a factor of about three higher than the XMM-Newton value.
Apart from the separation in observation time the difference between Chandra and
XMM-Newton here is that the Chandra analysis is restricted to evaluation
of the emission lines and that Zhekov et al. (2005)
have used a different emission model, which makes use of a continuous distribution of shock velocities with
the ionization parameter rigidly coupled to the post shock temperature.
In the following we discuss a possible consequence if the high temperature component would be significantly
out of ionization equilibrium.
The region in and close to the equatorial plane of the inner ring is likely
to have a higher density than the regions well above and below, which suggests
that the low-temperature component is dominated by emission from the equatorial
plane, whereas the high-temperature component is preferentially created in regions
way off the plane. This would be an alternative to the association of the two
temperatures with the forward and reverse shocks. A very simplified check can be
made by comparing the emission measures of the two components, which show a ratio
of 16/1 for model A. If assumed to be disk-like the fractional emission volume
of the low-temperature component scales with the ratio of the height of the inner
ring and the radius of the inner ring. We take the ring height to be the same as
the ring width which can be determined from the early optical/UV image as about 1/15 of
the radius (Panagia & Gilmozzi 1991). Taking the density ratio as above, i.e. 18/1
and the volume ratio as 1/15 the emission measure ratio is expected to be
1818/15 = 22/1 in comparison with the measured value of 16/1. Given the
uncertainties in these numbers, in particular the ring width, and the spatial
structure, which is certainly present in the matter distribution, the similarity
between measurement and expectation is encouraging.
Table 5: RGS line fluxes for prominent emission lines.
For determining the elemental abundances we followed the procedure applied to the Chandra LETG data (Zhekov et al. 2005). Because of the fairly low sensitivity of the X-ray instruments values of some abundances were fixed, i.e. for He, C, Ar, Ca, and Ni. The abundances of the remaining seven elements N, O, Ne, Mg, Si, S and Fe are free parameters for the fits. Our results on the relative abundances and the results which Zhekov et al. (2005) derived from the Chandra LETG measurements agree very well, despite the fact that the observations were taken at times differing by about 1.5 years. There are, however, two exceptions. We find that the abundance of Si is about 2 to 3 times higher in the earlier XMM-Newton observations. Either this is related to the models or the Si abundance in the region of the inner ring close to its core is lower than at its inner edge. Besides that the XMM-Newton Si abundance (0.54-0.82) is also larger than what is generally being quoted as the general Si abundance in the LMC (0.31). The second mismatch occurs for Fe, which is found to be significantly under-abundant in both measurements, but the LETG derived Fe abundance is at least a factor of about two higher than the XMM-Newton result. Does the Fe abundance increase towards the core of the inner ring?
One of the remarkable features of the inner ring is the overabundance of N(1.63) and the under-abundance of
O(0.18) with a ratio of about 9. This ratio is consistent with the XMM-Newton measurements with the abundances of
and of
yielding a ratio of about
(cf. Table 4), although the individual values of the N and O abundances are both lower by about a factor of 2 to 2.5.
In general, the abundances of all elements except that of He are lower than solar. But it seems that the seven elements
which were set free in the fits fall into three groups, which are N and Si in group one with an average
abundance value of 0.73, Ne, Mg and S in group 2 with an average abundance of 0.28, and O and Fe in
group 3 with the very low abundance of 0.054. Given the error boundaries there is no overlap between these
three groups. If this distinction is not a chance coincidence it might tell us something about the creation
of the inner ring and/or the progenitor. Within each group, though, the
abundance ratio conforms to solar
values, i.e. the ratio of O/Fe is solar-like, as is that of N/Si, as well as the ratio for the elements in group 3. It is unlikely that these abundances have resulted from a depletion process, which leaves
the creation process of the elements in the progenitor star as the most likely origin.
At last we discuss the column density, the
LMC
of
)
1021 cm-2
for the photo-electric absorption just in the LMC. This can be compared
with the total column density throughout the LMC, which is measured in H I to be 2.53
1021 cm-2 (Brüns et al. 2005). The agreement means that
either SN 1987 A is located at the far side of the LMC or that it shows
intrinsic absorption by matter in front and close to it. Actually the X-ray measurement
can be used to set an upper limit for cold
X-ray absorbing matter at distances from the explosion site greater
than the radius of the optical ring, which is
7
cm. If the base of an earlier
wind of the progenitor star with a r
profile would be located just
outside the inner ring the upper limit of the base density is
4270 cm
.
For a stellar wind with a velocity of 10 km s-1 this density requires a fairly large
stellar mass loss rate of 5.6
10
solar masses per year.
This value is larger by a factor of about six than the upper end of the mass loss range derived
from radio observations of type II supernovae
(Weiler et al. 2005).
In that sense it cannot be excluded that the entire absorption is due to circumstellar absorption either from a single star progenitor or a pre-explosion binary system. It is curious, though, that this amount of absorption is so close to the LMC total column density. But even if the circumstellar absorption would be just a tenth of the total, which would be compatible with mass loss rates known for red supergiants, the base of the wind can stand close to the inner ring, which would support the suggestion that the ring is a product of the interaction of the winds of the red and blue supergiants. Of course structured mass loss in a binary is still not excluded. Whether there is such a high density, spherically symmetric shell just outside the inner ring radius is likely to be decided by observations of the soft X-ray light-curve over the next couple of years, when the shock wave has passed the inner ring.
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Figure 4: X-ray light curve of SN 1987 A in the 0.5-2.0 keV band. Chandra ACIS-S fluxes were corrected for pile-up losses as described in Sect. 4. The insert shows the light curve in logarithmic intensity scale together with the model described in Sect. 4. |
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Since the discovery in 1994 the soft X-ray flux has been monitored first by ROSAT and then
by Chandra and
XMM-Newton. Hasinger et al. (1996) have summarized the early ROSAT data.
For constructing a self-consistent light curve the energy and flux cross-calibration of the
various instruments used are needed to be known to a level possibly comparable to the statistical errors.
In the following we make an attempt to re-calibrate all previous data taken including ROSAT and Chandra.
Using the best fit model from the EPIC-pn first-light
spectra we re-determined the count rate to flux conversion factor to
9.05
PSPC counts/(erg cm-2 s-1) and also add the fluxes from five HRI and one PSPC observations performed
up to nearly day 4000 after explosion, which have not been published previously but are in the ROSAT archive.
Chandra performed a regular monitoring of SN 1987 A since the launch of the observatory with published fluxes before the last XMM-Newton observation up to day 5800 (Park et al. 2004). Extrapolating the exponential flux increase detected by Chandra to the epoch of the last XMM-Newton observation we compute a significantly lower flux than observed with XMM-Newton. To investigate if this is caused by a faster brightening of the source or by an instrumental effect we analyzed two more Chandra observations which are available in the public archive and which were performed after the last XMM-Newton observation. We determined count rates in the 0.5-2.0 keV band and apply the same flux conversion factor as Park et al. (2004) did for their last Chandra observation. The two additional flux values follow nicely the extrapolation of the Chandra light curve demonstrating that the different fluxes given by the two instruments are caused by a systematic effect. Park et al. (2004) state in their paper that they did not correct the Chandra ACIS fluxes for CCD pile-up effects which they estimate to be <10%. Pile-up of photons causes flux losses and is therefore the most likely origin for the lower Chandra fluxes. In contrast the count rate for the EPIC-pn is far from any pile-up limit, especially during the SW mode observation. In addition, pile-up effects should be reduced for the earlier observations when the fluxes were lower, consistent with the better agreement between XMM-Newton and Chandra fluxes derived from those observations.
We therefore suggest that the lower fluxes derived from Chandra ACIS data are due to pile-up and we have corrected the data for the flux losses following the Chandra users handbook for the dependence of the pile-up fraction on the photon rate with a normalization using the last XMM-Newton observation as reference. We find a pile-up correction for day 6158 of about 22%, which can clearly not be neglected. Three more Chandra fluxes were published by Park et al. (2005). During those observations the CCD readout time was reduced by a factor of about two to reduce pile-up effects. However, for the last Chandra observations the intensity increased by more than a factor of two compared to day 6158 and therefore results in similar pile-up losses. We corrected also these last three Chandra fluxes as before, taking also into account the reduced count rate per readout frame.
Table 6: X-ray fluxes of SN 1987 A.
The final, corrected X-ray light curve in the 0.5-2.0 keV band is presented in Fig. 4 with the fluxes listed in Table 6. The flux changes linearly with time until about day 3500 and continues to increase exponentially until day 6700. The insert shows the light curve on a lin-log scale together with the prediction constructed from a model of the matter distribution inside the volume run over by the blast wave.
So far we have concentrated on the soft X-ray supernova light curve but Chandra and XMM-Newton also allow to derive a hard X-ray light curve for the band 3-10 keV. The three XMM-Newton data points on days 4712, 5156 and 5918 agree very well with the Chandra data points given by Park et al. (2005) and confirm the fairly slow increase of the hard flux compared to the soft emission increase up to day 5918.
The emission from SN 1987 A is obviously thermal, so that the observed flux is proportional to the cooling function and the emission measure and inversely proportional to the distance squared. For the distance we take 50 kpc. The value of the cooling function is taken from the observational best fits to the spectra; the observed temporal changes in temperature have a very small effect on the cooling function in the energy band of 0.5-2 keV, so that we take the cooling function in the band to be constant in time for the observations at hand. Therefore the shape of the SN 1987 A soft X-ray light curve is determined by the emission measure, i.e. the matter density squared integrated over the volume that has been encompassed by the forward shock or blast wave.
The key element is to find a reasonable description for the spatial distribution of the matter
density. We assume the inner ring to be a circular torus with a radius of
measured to be
6.2
10
cm
(0.83
)
(Panagia & Gilmozzi 1991), a circular cross section and the origin
coincident with the explosion site.
The density distribution is independent of the azimuth along the torus perimeter - it is circular
symmetric. Within the torus the density
is described by a Gaussian, i.e.
)
], with
being
the shortest distance from the torus center line, not the torus origin, though. At some torus radius
a
transition from the Gaussian form to a simple exponential dependence occurs,
i.e.
)] for
(see Fig. 5).
The exponential dependence is further modified by a factor of 1/r where r is the distance from the
origin. The two forms are normalized to each other such that a smooth transition in density occurs
at
.
In addition to
,
and
,
which are to be
determined, the location of the blast wave front
at some specified epoch is a free parameter.
For this paper we assume the blast wave velocity to be constant in time up to day 7000.
The shocked matter or the X-ray emitting volume elements, are assumed to expand radially and adiabatic
with a speed of three quarters of the blast wave velocity.
An acceptable fit to the data (cf. Fig. 4) has been obtained for
cm (0.84
)
at day 7000,
which means that the forward shock has just passed the center of the torus.
This also means that the mean blast wave shock velocity over the past 7000 days is 10 400 km s-1 for a distance of 50 kpc.
The transition radius
cm (0.48
),
so that the region inside the
torus in which the Gaussian density distribution prevails
is roughly half of the torus radius
.
The scale height
is
cm (0.28
). The scale height of the exponential "atmosphere''
of the ring is
cm
(0.35
).
From adjusting the measured and the best-fit fluxes we get a density of
cm
for the innermost core of the ring. This number can be compared
with the ring electron density of
cm
derived from the early optical/UV measurements by Fransson et al. (1989). The ring width, which shows
up in these optical/UV measurements, is
cm
(0.09
)
(Panagia & Gilmozzi 1991) and Fransson et al. (1989)
estimate for the included mass 0.03-0.05
.
Our model gives for that limited region a
mass of 0.065 solar masses, which is slightly higher. But this number is very sensitive on the exact width of
the ring because of the Gaussian density dependence. The total mass overrun by the forward shock wave
is, however, much greater and amounts to 0.45
,
with 90% of the mass contained
in the much wider ring and 10% in the exponential "atmosphere''. The total mass around SN 1987 A out to day 7000
already exceeds the previously quoted mass of the inner ring by a factor of 10, which may have some relevance to the models
explaining the origin of the ring, as far as the energetics are concerned. If the upstream density
distribution beyond day 7000 follows the functional forms given above, a total mass of 1.3
will
be involved. The soft X-ray light curve is predicted to flatten in mid 2006 and will reach its maximum
luminosity of
erg/s in early 2009.
Unacceptable fits to the data, either in the early part or in the late part of the light curve,
become apparent for changes of
,
and
exceeding 5 to 7%. This error range is
so small basically because
is fixed and the distribution is steep.
This is different for
,
the scale height of the
early data;
can be changed up to factor of 2 until deviations become significant. The late
time light curve is not affected. Within this range of errors the central density changes by up to 30%.
![]() |
Figure 5:
Sketch used to model the matter distribution around SN 1987 A. The matter is arranged in a circular
torus of radius
![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Open with DEXTER |
The numbers given above have been derived for a constant blast wave velocity
,
which is
certainly not the case according to the latest Chandra results (Park et al. 2004). This will affect
our estimates of
and
,
as well as
,
because they scale linearly proportional to
and
inversely proportional to
,
respectively.
The slow down of
reaches values of up to
a factor of 2 to 3, in the late stage of the expansion, and accordingly
is expected be lower and
might reach
cm
on the average.
In contrast, the estimates of the mass in the ring is only slightly affected and will stay close to the
large values given. In a separate paper we will describe the model in more detail and will present
results for a model with
slowing down in time.
Up to now the search for a compact remnant has not revealed any significant evidence for the existence of a neutron star or black hole, which may be due to various reasons. If a pulsar with a wind nebula were created in the explosion one would expect to see some power-law like X-ray spectrum photo-electrically absorbed by the ambient debris of the progenitor's envelope. Depending on the column density the pulsar and its nebula should appear at some time. To overcome the absorption one should look for the emission in the hard X-ray regime first, and XMM-Newton can supply some data and clues.
To estimate the putative contribution from a compact object to the total flux a power-law component
with fixed photon index (2.1) was added to model A in the combined fit to the EPIC-pn spectra.
The intensity was not allowed to vary with time, i.e. it was constrained mainly by the first-light
spectra in January 2000. The improved only to 803.5 which formally does not justify
the additional free parameters. For 90% confidence an upper limit for the
flux in the power-law component can be derived. For the 0.2-10.0 keV (0.5-2.0 keV) band
this results in an observed, i.e. not corrected for absorption, flux of 1.1
10-13 erg cm-2 s-1 (4.4
10-14 erg cm-2 s-1)
which corresponds to an absorption corrected luminosity
of 5.7
1034 erg s-1 (2.1
1034 erg s-1) for a distance of 50 kpc.
This is slightly less than the absorption uncorrected 2.3
1034 erg s-1 upper limit in
the Chandra images
(0.5-2.0 keV, Burrows et al. 2000).
Even if a pulsar was created in the explosion and even if the stellar debris is fairly
transparent in the meantime there
are other reasons why the pulsar has not emerged in the observations.
The detection of neutrinos immediately after the appearance of SN 1987 A is taken as proof that in this supernova a (proto-) neutron star was
created. Assuming magnetic flux and angular momentum conservation
during the collapse a dipolar surface field of the order of 1012 G
and a rotational period not much smaller than 0.01 s are expected.
Assuming the "standard'' parameter for the moment of
inertia
I = 1045 g cm2, we calculate the spin-down luminosity
erg s-1.
Since the X-ray luminosity
(Gil et al. 2006; Becker & Trümper 1997),
we find a lower limit of
in order
for the expected X-ray luminosity of the pulsar to significantly exceed
the observed upper limit. If the
rotational energy loss of the pulsar is due to magneto-dipole radiation the
dipolar surface magnetic field
G,
where again the "standard'' parameters have been applied, and
s s-1.
In order to get the X-ray
luminosity of the pulsar larger than
erg s-1,
i.e. to enforce a spin-down faster than
,
the surface dipolar field strength
G,
i.e. larger than
G. If the field of the pulsar is lower it would still
escape current detection capabilities. Furthermore, in case of SN 1987 A,
matter fall-back might have been so powerful that approximately 0.1
have been accreted
(Chevalier 1989),
which would submerge the initially existing pulsar magnetic fields down to
regions close to the crust-core interface of the neutron star.
Depending on the equation of state and on the conductive properties
of the crust it takes at least 1000 years if not much longer, until
the field is re-diffused to the surface with a strength
larger than 1011 G
(see Geppert et al. 1999, and references therein).
The only other possibility we see for the neutron star in SN 1987 A to have a
surface magnetic field exceeding
G is the
transformation of thermal into magnetic energy via the strong
temperature gradient present in the liquid crust of the young star
causing a thermo-magnetic instability
(Wiebicke & Geppert 1996; Urpin et al. 1986).
The typical period to reach poloidal surface
fields of the order of 1012 G however, exceeds certainly
100 yrs. In conclusion, a pulsar powered signature in the spectrum of SN 1987 A is not very likely to appear very soon.
We present the results from a spectral analysis of XMM-Newton data from
SN 1987 A obtained in January 2000, April 2001 and May 2003. The spectra are
consistent with thermal emission from the supernova remnant without a
significant hard power-law component (with an absorption corrected
0.2-10.0 keV luminosity limit of 5.7 1034 erg s-1) originating from a
compact object.
Modeling the spectra with two components involving emission from plasma
in collisional ionization equilibrium and/or in non-equilibrium yields
clear evidence for a temperature rise after the second epoch observation
for both components, reaching
0.3 keV and
3 keV in the soft
and hard component, respectively.
We have collected all available X-ray
fluxes in the 0.5-2.0 keV band from ROSAT, XMM-Newton and Chandra for the
light curve of SN 1987 A up to day 6716 after the explosion. This includes
previously unpublished ROSAT data available in the archive and published
Chandra fluxes which we corrected for photon pile-up effects present in
the CCD spectra. The final light curve shows a linear increase up to
about day 4000 and an exponential rise afterwards. We model the light
curve with emission from a circular torus around the explosion site which
represents the inner ring around SN 1987 A. From the best fit we find that the
forward shock just passed the center of the torus and that the mean
shock velocity over 7000 days is 10 400 km s-1. With a core density of the
torus of
cm-3 we find a total mass overrun by the
forward shock of 0.45
.
The model,assuming a constant blast
wave velocity in its simplest form, predicts a flattening in the X-ray
light curve for mid 2006. A new XMM-Newton observation is
currently scheduled for the end of 2006 to further monitor the spectral
evolution of SN 1987 A.
Acknowledgements
The XMM-Newton project is an ESA Science Mission with instruments and contributions directly funded by ESA Member States and the USA (NASA). The XMM-Newton project is supported by the Bundesministerium für Wirtschaft und Technologie/Deutsches Zentrum für Luft- und Raumfahrt (BMWI/DLR, FKZ 50 OX 0001), the Max-Planck Society and the Heidenhain-Stiftung.