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5. Results

  In this section we describe some first results, focussing mainly on areas I, IVac, and Va. These areas are of particular interest because they represent the extreme values of tex2html_wrap_inline3041 and of the RASS integration time in our sample. Several identifications, in particular of stellar sources at low X-ray count rates, require further confirmation. These observations are still in progress. The full set of identifications will be published in Paper III.

5.1. Total subsample of areas I, IVac, and Va

  The results based on our preliminary identifications for these three areas are summarized in Table 5 (click here). For 323 of the 335 sources of the subsample identifications exist, although some of them are still tentative or uncertain. These uncertain identifications will, however, not affect the following conclusions.

With 116 identifications the stellar counterparts represent a fraction of tex2html_wrap_inline3043% of the objects. This is significantly higher than the fraction of stellar identifications in the EMSS by Stocke et al. (1991) who found only 26% stellar sources, but less than the 65% stellar counterparts in the EXOSAT HGLS Giommi et al. 1991). Note that 37 Ke/Me stars are among the stellar sources we identified. Surprisingly, also 3 bright A-type stars were found very close to the positions of X-ray sources in area I. In these cases the X-ray emission is attributed to unseen companions. Two of them exhibit hard X-ray spectra. Three white dwarfs, including one previously known (WD046-01), were found. Their X-ray spectra are extremely soft with hardness ratios HR1 tex2html_wrap_inline3045. Furthermore three cataclysmic variables were identified.

  table679
Table 5: Identifications for areas I, IVac, and Va. SIM/NED: Identifications based exclusively on the cross-correlation with the SIMBAD and NED data bases, respectively. "stars'' includes normal stars, Ke, Me stars, CVs, binaries, and white dwarfs

The percentage of the individual object classes on the total identifications is clearly varying between the different areas. The NGP field IVac shows e.g. a much larger fraction of AGN and a smaller fraction of stars than area I. Since most stellar sources are at relatively small distances, this effect cannot be explained by the different lines of sight through the galactic stellar disk alone. This suggests that the different neutral hydrogen column densities tex2html_wrap_inline3047 play an important role. Areas I and IVac represent the extreme cases of tex2html_wrap_inline3049 with the largest column density in area I and the smallest in area IVac (see Table 2 (click here)). With 80% the extragalactic sources are the dominant constituent in area IVac which is similar to the results of Hasinger et al. (1993) for the Lockman Hole. In area I only about 25% of the source are of extragalactic nature. With 63% the stellar sources are the dominant part in this area, in contrast to 12% in area IVac. Area V is intermediate, both with respect to the ratio of stellar to extragalactic sources and to tex2html_wrap_inline3051. With tex2html_wrap_inline3053 the average hardness ratio of AGN in area I is harder than that in area IVac which is tex2html_wrap_inline3055. Area Va is intermediate with tex2html_wrap_inline3057. This effect is clearly a consequence of the different tex2html_wrap_inline3059 values. Likewise, the median redshifts of AGN, tex2html_wrap_inline3061, are different: 0.15 in area I and 0.32 in area IVac. Although in area Va with tex2html_wrap_inline3063 the median redshift is not significantly different from area IVac, we found AGN at higher redshift than in area IVac. This is probably a consequence of the greater sensitivity due to the longer integration times in area Va compensating the higher absorption and allowing the detection of more distant and hence X-ray fainter objects.

A small fraction of sources were preliminarily classified as "multiple'' (see Table 5 (click here)). This identification does not necessarily mean that more than one object is responsible for the X-ray emission. It rather denotes source positions for which our presently available spectra do not allow to determine a single obvious counterpart for the X-ray source. The presence of two possible stellar counterparts represents the largest fraction, tex2html_wrap_inline3065. Nearly all of these sources are located in area I which has the highest contribution of stellar counterparts. In five cases we found two AGN close to the X-ray position, in one of these even a third AGN exists which could also contribute to the X-ray emission. We found several cases in which a known BL Lac object is located in (or projected on) a cluster of galaxies, as e.g. RXJ0416.8+0105 = H0414+009 in area I. These objects do not appear in Table 5 (click here) as "multiple'' object but were classified as BL Lacs.

5.2. Positional uncertainty

  In the following we will make use of the identifications in the three areas to derive an estimate for the error of the X-ray positions. As mentioned in Sect. 3 (click here), we observed candidates in a circle with 50tex2html_wrap3127 to 60tex2html_wrap3129 radius which is approximately the 3tex2html_wrap_inline3071 error circle calculated by the SASS. The positions of the optical counterparts were taken from the APM catalog in most cases. Positions of stars brighter than 6.5tex2html_wrap_inline3073 are from Hoffleit (1964).

Clusters of galaxies, identifications with more than one plausible counterpart, and sources for which the identification is uncertain were excluded. Also excluded are a few sources for which due to image blending on the POSS plate no accurate optical position is available. In Fig. 6 (click here) histograms with the positional uncertainties derived from our identifications for the remaining sample of 231 sources are displayed. We plotted the differences of the positions of the X-ray sources, X, and the optical counterparts, CP, for declination and right ascension separately, i.e. tex2html_wrap_inline3075RA(X-CP) and tex2html_wrap_inline3079DEC(X-CP), respectively. Assuming a Gaussian distribution which is suggested by a Kolmogorov-Smirnov test on a 95% significance level we derived a 1tex2html_wrap_inline3083 error of tex2html_wrap_inline3085tex2html_wrap3131 radius in RA and in DEC each. A small offset between optical and X-ray position in R.A. of 1tex2html_wrap3133 to 2tex2html_wrap3135 to the East was found. This is due to the motion of the satellite during the read-out time of the data (cf. Paper I).

  figure722
Figure 6: Histograms of the positional uncertainties for sources in areas I, IVac, and Va. The differences in arcsec between X-ray position and optical counterpart position are plotted separately for RA (solid line) and DEC (dashed line). 1tex2html_wrap_inline3093, i.e. the 67% error circle, is tex2html_wrap_inline3095 9tex2html_wrap3139. 90% of the counterparts are found within 17tex2html_wrap3141 from the X-ray position in RA as well as in DEC

  figure727
Figure 7: Cumulative distribution of the distances between X-ray and optical source position. The resulting 90% error circle is 24tex2html_wrap3145, and the corresponding 1tex2html_wrap_inline3103 uncertainty is 15tex2html_wrap3147

The cumulative number of counterparts within a given distance from the X-ray position is plotted in Fig. 7 (click here). From this we determined a 1tex2html_wrap_inline3107 uncertainty of the distance between X-ray and optical position of 15tex2html_wrap3149 and a 90% error circle of 24tex2html_wrap3151 (see Fig. 7 (click here)). The error circle is slightly larger if only sources with a total number of counts of less than 50 corresponding to typical count rates of tex2html_wrap_inline3113 ctsstex2html_wrap_inline3115 in area I and IVac and tex2html_wrap_inline3117 ctsstex2html_wrap_inline3119 in area Va are considered. For these sources we measured a 90% error circle of 27tex2html_wrap3153 . Our estimates for the error circle are, therefore, significantly smaller than those calculated by the SASS (cf. Paper I) which yielded 90% error circles on the order of 40tex2html_wrap3155 to 45tex2html_wrap3157 (see above).

Acknowledgements

The ROSAT project is supported by the Bundesministerium für Bildung und Wissenschaft and the Max-Planck-Gesellschaft. We would like to thank the ROSAT team for observing and processing the ROSAT All-Sky Survey data. We also thank the observers who contributed to the optical observations: J. Alcala, C. Alvarez, H. Bock, H. Bravo, L. Corral, L. de la Cruz, U. Erkens, C. Fendt, Th. Gäng, J. Guichard, M. Kümmel, R. Madejski, A. Marquez, O. Martinez, A. Piceno, A. Porras, F. Ruzicka, Th. Szeifert, J. R. Valdes, F. Valera, G. Vazquez, R. Wichmann, and K. Wilke. We also would like to thank the staff of the Guillermo Haro Observatory for the support during the observations. This work was supported by DARA under grant Verbundforschung 50OR90017.


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