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Astron. Astrophys. 342, 213-232 (1999) 3. Radiation transfer of the soft X-raysEarlier investigations of the ROSAT data (Snowden et al.
1994b; Herbstmeier et al. 1995; Kerp et al. 1996) indicated that the
brightnesses from both, the distant X-ray sources and from the Local
Hot Bubble (LHB) vary across the sky. Because of the variations of
both source terms, we first address some general properties of the
To answer these questions, we sought an expression for the soft X-ray radiation-transfer equation which reveals simultaneously the intensity and positional distribution of the individual source terms. 3.1. The soft X-ray radiation-transfer equationThe soft X-ray intensity distribution is modulated by photoelectric
absorption due to interstellar matter lying between the observer and
the source of the X-rays. The effective photoelectric absorption cross
section The dependence of photoelectric absorption cross section on
The X-ray emission from the LHB evidently originates from a thermal
plasma ( The distant soft X-ray emission is most likely the superposition of
thermal plasma radiation ( 3.2. The spectral properties of the distant source termsThe LHB term represents the thermal plasma radiation of the local
gas. The intensity of the LHB varies across the entire sky:
It is plausible to assume that all of the galactic ISM is available
to absorb radiation from the extragalactic SXRB component. Pietz et
al. (1998b) derive an exponential scale height of
3.2.1. The source spectrum of
The galactic halo X-ray emission is evidently due to thermal-plasma
processes. Rocchia et al. (1984) found plasma emission from
O+6 and O+7 ions. Hasinger (1991) found
indications in deep PSPC observations for an emission bump in the
X-ray spectrum near 0.6 keV, also indicating the presence of these
ions. Kerp (1994) and Sidher et al. (1996) showed that a
thermal-plasma spectrum fits PSPC data well. The PSPC data suggest
that the distant X-ray plasma, approximated by the Raymond & Smith
(1977) model, has a temperature 3.2.2. The source spectrum of
3.3. The simplified soft X-ray radiation-transfer equationWe show that we may simplify Eq. (1) into an expression involving
only two X-ray source terms for the
3.3.1. The
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Fig. 2a-f. Maps of the part of HVC complex C at both lower l and lower b (see Sect. 4.1.1). a Observed ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
To quantify this result, we tested the hypothesis that the
differences between the observed and modelled intensity distributions
are statistical deviations and not uncertainties introduced by the
modelling of the X-ray data. The observed minus modelled X-ray
intensity distribution was binned into a histogram (100 bins) showing
the frequency of the deviation versus the deviation value. The
histogram was quantitatively compared with a Gaussian distribution
using a test. We found
, well below the acceptable value of
for 96 degrees of freedom, and a
rejection threshold of 0.05. The hypothesis that both distributions
are significantly different has to be rejected. This confirms that our
approach of assuming constant
and
matches the observed situation well.
Additionally, this finding confirms that H I is the
best tracer of the photoelectric absorption and that H+ as
well as H2 influence the soft X-ray radiation transfer on a
much lower level compared to H I . Thus, we conclude
that
can be approximated well by an
intensity which is constant across the entire field: the distant soft
X-ray background radiation is not patchy on angular scales of some
tens of degrees. This finding was verified for all analyzed fields,
distributed across the sky. The absolute value of
varies significantly, however,
between the individual fields. Because
is plausibly constant across the
entire sky, the large-scale variation of
is entirely attributed to
. This will be discussed in detail in
Sect. 5.1.
Following the procedures described below, we scaled the intensity
of a constant-intensity X-ray background source beyond the entire
contribution shown in Fig. 2c. This
yielded the image of the modelled SXRB intensity distribution shown in
Fig. 2b. In Fig. 2a, we superposed, as contour lines, the deviations
between the observed and the modelled SXRB intensity distribution,
starting with the 4-
level and
increasing in steps of 2
. Dashed
lines indicate areas where the modelled SXRB intensity is too bright,
or where we missed additional X-ray absorbers not traced by the
H I radiation; solid lines mark areas where
ROSAT detected more radiation than expected by the
H I data. At these positions, we have either
overestimated the amount of absorbing matter or we are observing true
excess X-ray emission. This excess corresponds to some 25% of the
total SXRB intensity. In general, an underestimate of the amount of
matter attenuating the X-rays is more likely than an overestimate,
because neither H2 nor H+ is represented by the
21-cm tracer. Thus, it seems likely that the dashed contours indicate
the presence of additional absorbing matter, but that the solid
contours indicate X-rays in excess of the average.
We evaluated the level of the modelled constant distant X-ray
source intensity using three additional methods. First, we averaged
the X-ray halo intensities across the entire map over areas of equal
in bins of
. This yielded the dependence of the
X-ray halo intensities on the amount of absorbing H I
shown in Fig. 3. The slope of the dependence is a function of the
assumed
count rate. If the
count rate is underestimated, we
obtain a correlation of X-ray halo intensity with
; in case of an overestimate of
, we obtain an anti-correlation. We
tuned the
value such that the
dependence is minimized. This alignment corresponds to the assumption
that the
keV radiation is independent
of the amount of H I along the line of sight. Such is
certainly not the case for specific areas of the galactic sky. For
example, towards the North Polar Spur (Egger & Aschenbach 1995)
the X-ray intensity is not distributed independently from the
structure.
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Fig. 3. To constrain the velocity-integration range for ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Second, we averaged both the keV
and the
data over l and
b, respectively, and compared these mean observed intensity
values with the model. This method allows searching for systematic
uncertainties introduced by the modelling of the X-ray data. We tested
the hypothesis that areas of the sky with the same
values correspond to unique
and
values, within the uncertainties of
the X-ray data. We evaluated the dependence of the source terms in
Eq. (2) on the galactic l and b profiles. The derived
values for
and
agree with those calculated by the
first method. Fig. 2f shows the dependence on l and b of
the soft X-ray radiation-transfer equation solved with the same
intensity values for the LHB and the galactic halo plasma as used to
derive panel (b) of Fig. 2. There are no significant large-scale
differences between the l and b distributions of the
observed SXRB radiation and the modelled X-ray intensity derived from
the
distribution. This indicates that
the distant soft X-ray emission is constant, within the statistical
limitations of the X-ray data, across each field.
Third, we averaged observed SXRB count rates with a given
in steps of
and plotted a simple scatter
diagram of
versus
. This method is sensitive to the
choice of the source term parameters in Eq. (2), and would reveal
erroneous model parameters.
Thus, we confirmed the validity of the soft X-ray
radiation-transfer solution using three independent methods. The
second and, even more so, the third, method suffers from neglect of
the positional information in the ROSAT maps. But they show
that the values returned are
consistent with those of the first method, which does account for the
positional information. This indicates that the
source term is, within the
statistical limitations of the X-ray data, constant on angular scales
of several tens of degrees.
We considered the uncertainties of the individual soft X-ray source
terms by varying or
independently in a way that the
modelled and observed intensities fit within the statistical
uncertainties of the data. Because the quantities are field-averaged,
the corresponding uncertainties are low. For the local X-ray emission,
;
, depending on the averaged
value across the field, and thus
typically an order of magnitude higher than the LHB plasma.
Above, we described our investigation of the
and
source terms of Eq. (2). Now, we
show how we determined the amount of H I absorbing
the soft X-rays. The velocity information contained in the
H I data gives an additional free parameter in
Eq. (2). We can integrate the H I brightness
temperatures over different velocity intervals, introducing a
kinematic unravelling which may indicate also a spatial separation.
Three separate velocity regimes are commonly, albeit somewhat
arbitrarily, distinguished in the literature, namely as low-velocity
(LV:
), intermediate-velocity (IV:
), and high-velocity (HV:
). The low-velocity regime not only
samples all of the higher-
H I which belongs to the conventional galactic disk,
it includes most of the H I which corresponds to the
warm diffuse H I layer (e.g. Dickey & Lockman
1990, also denoted as warm neutral medium , WNM) as well. If we
integrate the H I spectra over the low-velocity
regime, we neglect some 10% of the total amount of H I
distributed across the field, although this percentage varies from
region to region. In some regions, there is as much emission from
H I gas at extreme velocities as from LV matter;
towards these lines of sight it is not feasible to evaluate the soft
X-ray radiation transfer only with the low-velocity
. The Draco cloud (Herbstmeier et al.
1996) is an example of an IVC dominating
; in addition, it contains significant
amounts of molecular matter. Finally, HVCs may also absorb the distant
SXRB source radiation (see Herbstmeier et al. 1995).
To test whether the choice of
velocity interval reveals a kinematic unravelling of the source of the
SXRB, we integrated the H I emission separately over
the LV range
, and over two wider
velocity ranges
and
Towards high galactic latitudes the
latter range encompases all interstellar gas except the HVCs. The
histograms in Fig. 3 represent
as a
function of
. Within the uncertainties
of the histogram data points (the error bar in Fig. 3),
can be considered a constant across
the
range of
to
. The horizontal solid line
represents our field-averaged best-fit value of
, while the dashed lines mark the
uncertainties of this best-fit value. Taking into account the
uncertainties of both, the data and the modelling, the assumption of a
constant
is justified. With Fig. 3
we can also constrain the expected intensity variation of the
source term, because to evaluate
as a function of
we a priori assumed
= const. Consequently, our finding
= const. implies
= const. within the uncertainties of
the analysis.
The three histograms in Fig. 3 show that the functional dependence
of on
is independent of the extent of the
velocity range used to evalute
.
However, the mean level of
increases proportionally to the extent of the integration range of
. Nevertheless, all data points of the
three histograms are within the uncertainty range of the modelled
intensity level. We conclude that
the WNM in the Galaxy determines the mean intensity level of the
distant soft X-ray background radiation. Towards high galactic
latitudes, the WNM best represents the physical state of the major
fraction of the interstellar matter. Accordingly, the
H I belonging to the WNM traces the amount of soft
X-ray absorbing matter, and determines the mean intensity level of the
distant diffuse X-ray radiation. The bulk of the WNM is already
enclosed in the velocity bracket
(Dickey & Lockman 1990). Accordingly, the additional
at more extreme velocities increases
the mean
level, but does not change
significantly the functional dependence of
on
.
The discussion above implies that our modelling of the ROSAT
X-ray data can be well approximated by constant
and
source terms across the extent of
the fields of interest (question 1 of Sect. 3). The mean
X-ray intensity level is determined
by the distribution of the WNM gas. The more extreme velocity ranges
represent, on the average, only a minor fraction of the total
interstellar gas. Accordingly, the
is sufficient to determine the
responsible for the attenuation of the distant diffuse X-ray sources
(question 3 of Sect 3). However, our aim is to search for soft X-ray
enhancements of HVCs, with respect to the finding shown in Fig. 3 the
yields the highest
intensity level. This attributes a
maximum of the diffuse X-ray emission to
and introduces a systematic bias in
our analysis for the non-detection of excess X-ray emission
associated with HVCs.
© European Southern Observatory (ESO) 1999
Online publication: December 22, 1998
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