Astron. Astrophys. 360, 499-508 (2000)
4. Atmospheric parameters and abundances
The effective temperatures were derived and averaged from the
intrinsic colour indices (B-V )0 and (V-K
)0 using the corresponding calibrations by Gratton et al.
(1996). Colour indices have been taken from Houdashelt et al. (1992)
and dereddened using =0.032 according
to Nissen et al. (1987) and =3.24
according to Taylor & Joner (1988). For F266 the B-V index
was taken from Coleman (1982) and V-K from Taylor & Joner
(1988). The agreement between the temperatures deduced from the two
colour indices is quite good, the differences do not exceed 20 K.
The gravities were found by forcing Fe I and Fe II to yield
the same iron abundances. The microturbulent velocities were
determined by forcing Fe I line abundances to be independent of
the equivalent width. The derived atmospheric parameters are listed in
Table 1.
The abundances relative to hydrogen
[A/H] 1 and
(the line-to-line scatter) derived
for up to 28 neutral and ionized species for the programme stars are
listed in Table 4 and Table 5.
![[TABLE]](img41.gif)
Table 4. Abundances relative to hydrogen [A/H] derived from spectra of . The quoted errors, , are the standard deviations in the mean value due to the line-to-line scatter within the species. The number of lines used is indicated by n.
![[TABLE]](img42.gif)
Table 4. (continued)
![[TABLE]](img47.gif)
Table 5. Abundances relative to hydrogen [A/H] and derived from spectra of . The quoted errors are the standard deviations in the mean value due to the line-to-line scatter within the species. The number of lines used is indicated by n
4.1. Estimation of uncertainties
The sources of uncertainties can be divided into two categories.
The first category includes the errors which act on a single line
(e.g. random errors in equivalent widths, oscillator strengths), i.e.
uncertainties of the line parameters. The second category includes the
errors which affect all the lines together, i.e. mainly the model
errors (such as errors in the effective temperature, surface gravity,
microturbulent velocity, etc.). The scatter of the deduced line
abundances , presented in
Table 4 and 5, gives an estimate of the uncertainty coming from
the random errors in the line parameters. The mean values of
=0.08 and
=0.13 are for abundances derived from
spectra with and
, accordingly. Thus the uncertainties
on the derived abundances, which are the result of random errors,
amount to approximately these values. There is a small systematic
difference between the equivalent widths measured with the two
cameras, however the abundance effect is small. Typically
0.03 dex higher abundances are obtained from the lower resolution
spectra.
Typical internal error estimates for the atmospheric parameters
are: K for
,
dex for log g and
for
. The sensitivity of the abundance
estimates to changes in the atmospheric parameters by the assumed
errors is illustrated for the star F141 (Table 6). It is seen
that possible parameter errors do not affect the abundances seriously;
the element-to-iron ratios, which we use in our discussion, are even
less sensitive.
![[TABLE]](img57.gif)
Table 6. Effects on derived abundances resulting from model changes for the star F141. The table entries show the effects on the logarithmic abundances relative to hydrogen, [A/H]. Note that the effects on "relative" abundances, for example [A/Fe], are often considerably smaller than abundances relative to hydrogen, [A/H]
Since abundances of C, N and O are bound together by the molecular
equilibrium in the stellar atmosphere, we have investigated also how
an error in one of them effect the abundance determination of an
other. The causes
and
, the
causes
and
. The
has no effect on either the carbon
nor the oxygen abundances.
Other sources of observational errors, such as continuum placement
or background subtraction problems are partly included in the
equivalent width uncertainties discussed at the beginning of this
section.
© European Southern Observatory (ESO) 2000
Online publication: August 17, 2000
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