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Astron. Astrophys. 319, 413-429 (1997) 7. DiscussionThe large sample of radio-loud quasars available from
ROSAT observations allowed a detailed study of the
spectral X-ray properties of various subsamples, the correlations
between X-ray and radio properties, as well as the broad band energy
distribution of the objects. For the statistical analyses we used the
restricted sample of radio selected quasars only. However, the
corresponding results from the whole sample of all radio-loud quasars
are only slightly different in their numerical values (all inside the
mutual 1 In Sect. 4.1 we showed that the power law indices of the soft X-ray spectra differ for the various radio classes of quasars, with steep spectrum sources having a steeper slope than the flat spectrum quasars. However, the correlation of X-ray spectral index with redshift indicates that at redshift zero both classes have similarly steep soft X-ray spectra. As the spectral slopes for steep spectrum sources flatten considerably less with redshift, their average power law index appears to be steeper for a large sample of objects. The correlations of X-ray spectral index with redshift strongly suggests that radio-loud quasars have two spectral components: a flat power law at higher energies, which is related to the radio core emission and an additional steeper component in the ROSAT energy band. At z = 0 the soft X-ray spectra are dominated by the steep component, and flat and steep spectrum sources have similar indices. With increasing z this steep component moves out of the PSPC's energy band and the X-ray spectrum is a combination of the two components. The generally flatter soft X-ray power law spectra can then be attributed to a more dominant flat X-ray component in flat spectrum radio sources - a scenario which also accounts for the fact that flat spectrum radio sources are X-ray louder than their steep spectrum counterparts. The flat component can be recognized in Fig. 6 for the flat spectrum quasars but, unfortunately, there are no data available for steep spectrum quasars at higher redshifts. If the flat power law component is related to beamed emission from the core and the steeper low energy component with an isotropic unbeamed component (Browne & Murphy 1987), the above results are in accordance with current unification schemes which attribute the different classes of objects to different viewing conditions (Barthel 1989). Similar ideas have been followed by Jackson et al. (1993) to explain the different spectral slopes generally found for AGN in the ROSAT and in the wider Einstein IPC energy band. Whereas the steeper ROSAT spectra could be reproduced the simulated Einstein spectra were too steep. However, as Bühler et al. (1994) showed recently, these results strongly depend on the parameterization of the soft component in these models. However, the above simple two component interpretation is not quite
consistent with expectations of these schemes: in that framework one
would expect that the X-ray emission from radio galaxies is
predominantly the unbeamed, isotropic component with steep spectral
slope. But the average X-ray slope found for radio galaxies (Papers I,
II) is around Another important issue in that respect is the relation between the
X-ray spectral properties and the radio properties of the objects. We
found correlations between the power law photon index
A final question related to the X-ray spectral properties is that
of a possible correlation of the amount of absorption towards a source
with its distance (redshift). There seems to be no additional
absorption increasing with redshift, at least up to
Correlations between the emission at different wavelengths are indicators for the underlying emission processes. A vast number of papers addressed this question - with differing results. The quoted reasons for these discrepancies range from the definitions of the samples studied to the mathematical methods applied in the analysis. We have shown how the latter influence the luminosity correlations in our sample and came to the conclusion that methods taking into account errors in both variables were the most appropriate ones. Even with these techniques the slopes of the l x - l r - correlations were less than unity, that for the l x - l o - correlations could be consistent with a slope of unity, expected from the study of the luminosity functions. However, the correlations involving the radio luminosities clearly show that there are higher order effects in the data and that a single straight line very likely does not represent the true physical connection between the variables. Our analysis in Sect. 5.4 indicates that the observed X-ray
luminosity depends on the total intrinsic radio power of the quasar
and, additionally, on the amount of beaming in the source. Assuming
that the observed total X-ray luminosity is composed of two
contributions, one related to the radio core luminosity, one to the
extended emission, i.e., log(l x) =
It must further be noted, that the set of parameters for the correlations found between the various luminosities and their ratios is not self consistent. The reasons are either, that some (or all) of the correlations are not linear, that there is a strong redshift or selection dependency in the data, or that the considered subclasses of objects are exhibiting different luminosity dependencies. Some correlations, like that of the X-ray luminosity versus core
dominance or X-ray loudness versus core dominance can be traced back
directly to the different emission properties of the flat and steep
spectrum sources. We do not find correlations of broad band spectral
properties One of the most discussed correlations is that of the X-ray
loudness Taking the slope determined for the
With a Monte-Carlo simulation we `filled' the rhomboid with the
same number of test particles as data points in Fig. 17 with
various constant values for In addition to luminosity boundaries for l x
we see optical luminosity boundaries in the data: there are
hardly any data below log(l o) = 29.6 and above
log(l o) = 31.8. These regions correspond to the
shaded regions in Fig. 19. Taking into account these limits in
the Monte-Carlo simulations we obtain the above fitted slope with a
dispersion of Thus we conclude that the claimed correlation between
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