For the stars showing optical variability, we have determined their
photometric periods by fitting sine waves to the V-band data and searching for
the minimum . See Cutispoto et al. (1995) for further details.
In fact, one of the principal results of this study is the discovery of the
photometric variability of the following 15 stars:
HD35114, HD36869,
HD41824, HD43162, HD48189, HD71285, HD75997, HD78644, HD96064,
HD124672, HD141943, SAO111210, SAO150508, SAO150676, SAO196024.
The properties inferred from the
strength and characteristics of the Li I (6708Å), H (6563Å)
and Ca II K (3933Å) lines are discussed in full detail in
Tagliaferri et al. (1999). Here we present the results of radial velocity (RV)
determinations, that we use to ascertain the single or binary nature of the
stars in our sample. The 6705Å region contains up to about 20 unblended
lines of various strengths suitable for accurate radial velocities
measurements as well as the 3935Å region. The 6560Å region is
half-filled by the H line but
moderately strong, unblended metallic lines suitable for RV measurements are
still available. The spectral regions, resolution and the wavelength
of the lines are given in Tables 3 and 4. The individual lines
used for the RV computation are listed in Table 4. The RV data reduction was
performed by standard procedures within the IRAF package, fitting,
by Gaussian profiles, the strongest lines present in each spectrum. The
resulting RVs from the individual lines have been averaged and
heliocentric correction has been applied. The typical RV accuracy for
sharp-lined stars for each line is of the order of 1 kms-1.
The final results are listed in Table 5.
Table 3:
Spectral region and resolution
Table 4:
List of the lines used for RV computations
Table 5:
Star name, HJD (2449000.0 +), heliocentric RV and
error, number of lines used (N), spectral region (SR), notes
We also computed the vi values from the spectra in the
6705Å region by using the cross correlation task "FXCORR" of the
IRAF package. The FWHM of the lines thus obtained can be used to estimate the
vi(Soderblom et al. 1989). We calibrated the method by using
seven stars of known vi.
The cross correlation method gives reliable results in the 5-60 kms-1
range. For values higher than 60 kms-1 the Gaussian fit we used is no
longer adequate and the rotational broadening of the lines represent a large
fraction of the observed spectral range. For values smaller than 5 kms-1
the intrinsic lines width is larger than the rotational broadening. The error
for high signal-to-noise spectra is of the order of 2 kms-1.
Further details on the method are given in Tagliaferri et al. (1999).
The rotational data are given in Table 2.
As in the case of the EXOSAT and Einstein samples, for most of the
observed stars the spectral classification is not well-defined. In order to
infer or further constrain the spectral type and the luminosity class, we used
our multicolour photometry, our estimate of RV and the intensity of the Ca I
6717.7Å line from our high resolution spectra, while the distances
were taken from the HIPPARCOScatalogue (Perryman et al. 1997).
Color indices of active stars have to be taken prudently when used for
spectral classification, as the presence of activity phenomena can modify
them by an unknown amount. Cutispoto et al. (1996)
developed a method, hereafter referred to as Active Star Colors (ASC), to
infer the spectral classification from the observed colors. The ASC method was
improved taking into account the effects of stellar activity on the U-B index
and considering the luminosity calibration of the HR diagram obtained by using
the HIPPARCOSdata (see Cutispoto 1998 and references therein for details).
For stars later than K5 we used the luminosity calibration reported by Henry
et al. (1998). The ASC method is better suitable for statistical purposes and
for single stars. In the case of binary stars, two or more solutions can often
reproduce the observed colors. However, if an accurate stars' distance
measurement is available, it is possible to exclude most of the multiple
solutions. Moreover, by using our spectra we can further constrain the
allowed solutions. In particular, we used the Ca I 6717.7Å line as
a spectral classification indicator. We first calibrated the
equivalent width (EW) values of the Ca I 6717.7Å line vs. B-V. For this
calibration we used the stars in our sample that are either single or
have a WD companion, which give a negligible contribution to the continuum
in the spectral region around the Ca I 6717.7Å line. Following these
criteria, we selected 21 stars, 20 of which belonging to our sample plus
HD 143937B (B-V=1.30, EW(Ca) = 332, K7V). The latter star
is the third component of the visual binary HD 143937, which is part of our
sample. The measured Ca I 6717.7Å EW for the stars in our sample are
reported in the last column of Table 2, where the value used for the EW vs.
B-V calibration are marked with "e". A double value means that we have
measured both EWs of the SB2 components. We obtained a very good correlation
between the EW and the color index B-V (Fig. 1), being the scatter due either
to errors in the measured EWs or to slight differences in metallicity among
the stars. From the data in Fig. 1 we get the calibration:
with a linear correlation
coefficient . We estimated a statistical error of mÅ
for the EW values. The spectral classification is thus determined with an
accuracy of spectral subclasses. The use of the Ca I 6717.7Å line
EW was particularly important for the classification of the binary stars,
allowing us to discern, by choosing the one that better fit the combined EW,
between different possible solutions for both the ASC method and the
distance. We are confident that the spectral types reported in
Table 1
are very reliable, with uncertainties of the order of
few spectral subclasses.
Figure 1:
Plot of the measured Ca I 6717.7 Å line EW (mÅ) against
the B-V for a sample of 21 stars. The continuous line is the fit of the data