The fraction of BL Lacs in the HRX was 10%. Therefore, an
increase of the sample size based on optical identification alone is
rather inefficient. This can be alleviated using radio information, as
all BL Lacs from the core sample were detected as radio sources in the
NRAO VLA Sky Survey (NVSS, Condon et al. 1998). Also, to the
authors knowledge, all known BL Lac objects do have radio counterparts
down to the
2.5 mJy level, which is similar to the detection
limit of the NVSS. We concluded therefore that for the high X-ray
count-rates used we can include radio detection in the NVSS as
selection criterium without loosing BL Lac objects. As X-ray input we
used the ROSAT Bright Source Catalog (RASS-BSC; Voges et al. 1999) with a count-rate limit (
)
of
.
We cross-correlated this catalogue with the
NVSS adopting an error circle of 30
around the X-ray position.
We extended the sky area studied to
encompassing the area of
studied by Bade et al. (1998), and we applied a unique limit of
.
The boundaries of the area are given in Table 1.
The cross-correlation yielded 223 matches between X-ray and radio
sources. The complete list of these objects is given in Table 8 (this table is only availlable in electronic form).
The coordinates listed are the X-ray
positions (J2000.0). More than 99.9% of the sources have a
positioning error
25
(Voges et al. 1999). The column "Name'' lists alternative names to
the ROSAT designation, when available. Redshifts and classification
are taken from the NED or SIMBAD database or were determined on the
base of own follow-up observations. All objects,
for which we obtained own data are marked.
The cross correlation might be incomplete for lobe-dominated radio sources, as in those cases the radio emission will consist of more than one component offset from the X-ray position. However, for none of the X-Ray BSC sources we found multiple radio sources within the search radius, and as BL Lacs are core-dominated radio sources no selection biases are expected.
Copyright ESO 2003