We restrict our comparison to previous work on Lick/IDS fitting functions to those computed by G. Worthey and collaborators, because they are available for all the indices studied here and are based on a very comprehensive spectral library. Moreover, they are the most widely used fitting functions in stellar population synthesis work.
In order to assess the impact of our new fitting functions on model predictions we proceeded as follows. We computed integrated line indices for models 1 through 5 in Table 24 adopting our own fitting functions and those of Worthey et al. (1994) and Worthey & Ottaviani (1997) (henceforth simply Worthey et al.). In this way we isolate the effect on model predictions due only to the adoption of our new fitting functions.
The two sets of model predictions are compared in Figures 7a through 7d for all indices. The indices computed adopting the Worthey et al. fitting functions were brought into our system of EWs using the zero-points listed in Table 1. In each panel arrows indicate in which sense model metallicity varies, to help the reader identify the models with different [Fe/H].
The overall agreement between the two sets of computations is good. Not
unexpectedly, most of the differences are found at low metallicity,
where both sets of fitting functions are more uncertain. Amongst
the Balmer lines, the most important differences are found for
. This index is more metallicity-dependent when the Worthey
et al. fitting functions are adopted. This is a very interesting result
that serves to illustrate how improvements in the accuracy of stellar data
(both stellar parameters and spectra) can cause a noticeable improvement in
model predictions. In Figure 8 we compare the input data
used in the computation of both sets of fitting functions. In the upper
panel,
and
from the Worthey et al. (1994) are plotted against
each other for G and K giants and the same plot is repeated in the lower
panel using our data. Stars in two ranges of metallicity are plotted in
order to highlight the dependence of
on this parameter. Stars
with [Fe/H]
0 are plotted with solid squares and stars with [Fe/H]
-0.3 with open squares. A dependence of
on metallicity,
whereby at fixed
the index becomes stronger for higher
[Fe/H], can be seen in both data-sets, but is far more clear-cut in our
data than in those of Worthey et al. (1994). As a result, we can estimate
the dependence of
on metallicity in stellar spectra more
accurately. We find that
in the spectra of GK giants responds to
variations in [Fe/H] roughly twice as strongly than predicted by Worthey
et al. (1994) in the sense that, we repeat,
becomes stronger
for higher metallicity. On the other hand, we know that higher metallicity
systems tend to have cooler turn-offs, which tends to produce weaker
. Therefore, the two above effects tend to cancel out, with the
net result that the index in integrated spectra of stellar populations becomes
less sensitive to [Fe/H] than predicted by former models. As a result, the
new fitting functions show that
is a better age indicator (i.e., less
sensitive to [Fe/H]) than previously thought.
The Fe indices are extremely important because they are mostly sensitive
to the abundance of iron (Tripicco & Bell 1995), thus providing a
close estimate of the mean [Fe/H] of an integrated stellar population.
In Figure 7 we compare our model predictions to those based
on the Worthey et al. fitting functions for all the Fe indices modelled
here. Agreement between the two sets of fitting functions is good for
Fe4383 and Fe5335. The most important differences are found for Fe5270
at metallicities below solar. In Figure 9 we compare the
two sets of fitting functions for dwarfs with [Fe/H]=-0.4. Our data
and fitting functions are represented respectively by the solid squares
and thick solid line. The open squares and thin line indicate Worthey
et al. data and fitting functions. Only dwarfs with [Fe/H] = -0.4
0.15 are plotted. As in the case of Figure 8 the quality
of the new stellar data is quite superior, as can be seen by the lower
scatter in the solid squares. That of course makes it far easier to
compute an accurate fitting function for the index. It can be seen that
our new set of fitting functions provides a better description of the
data for mildly metal-poor dwarfs. The latter accounts for roughly 2/3
of the mismatch seen in Figure 7. The rest of the mismatch
is due to smaller differences in the fitting functions for giant stars.
Another interesting case is that of indices that are strongly sensitive to
surface gravity, such as Mg
, Mg
, and Ca4227, for which the Worthey
et al. al fitting functions yield higher values for solar metallicity at
all ages. This is because the line strengths in the spectra of giants
are stronger according to the Worthey et al. fitting functions. This
point is illustrated in Figure 10 where the two sets of fitting
functions are compared with Mg
data for M 67 stars in an Mg
-magnitude
diagram. The data come from Paper III, whereas the isochrones were computed
by combining the two sets of fitting functions with the Girardi et al.
(2000) isochrone for an age of 3.5 Gyr and solar metallicity. The latter
was shown to provide an excellent match to the color-magnitude diagram of
the cluster (see Paper III for details). It can be seen from this Figure
that, when the Worthey et al. fitting functions are adopted the index
is over-predicted by
0.05 mag throughout most of the red-giant
sequence and also at the horizontal branch (thick lines). A similar
behavior is seen for Mg
and Ca4227.
It is also important to point out that the two Mg indices have a
markedly different sensitivity to IMF variations. While Mg
is
strongly sensitive to the contribution of K dwarfs, Mg
is nearly
insensitive. This can be understood by looking at Figure 11,
where we plot measurements of the two indices in our library star
spectra as a function of
for dwarf and giant stars. For K stars
(5500
4000 K), both indices respond to
and
in essentially the same way. In particular, they tend to be
stronger in K dwarfs, because both the Mg II lines and the MgH band-head
included in the Mg
passband are stronger for higher surface gravities
(Barbuy, Erdelyi-Mendes & Milone 1992). At lower
, presumably
because the Mg II lines saturate, the indices cease to increase for
lower temperatures and its dependence on
also becomes weaker. In
the M-star regime (
4000 K) the two indices behave in
drastically different ways. While Mg
becomes much stronger in giants
than in dwarfs, Mg
is very little dependent on surface gravity.
The reason for this behavior is that, as pointed out in Paper III,
Mg
is severely affected by a TiO band, which is so strong in the
spectra of M giants that Mg
becomes essentially a TiO indicator
(see Figure 3 in Paper III, for details). Because TiO bands are very
strongly sensitive to
being stronger in giants than in dwarfs
of the same
(Schiavon & Barbuy 1999, Schiavon 1998), the Mg
index becomes much stronger in the former than in the latter. The
Mg
index, on the other hand, is far less influenced by TiO lines,
because they affect both the pseudo-continuum and index passband in
similar ways. This result has an interesting ramification, namely, that
Mg
is an IMF-sensitive index, and Mg
is nearly unaffected by IMF
variations. This can be understood by looking at Figure 11. The
Mg
index is IMF-sensitive because it is much stronger in dwarf stars,
so that it tends to be stronger for dwarf-enriched IMFs. The same is not
true for Mg
, because the index is so strong in cool giants that its
sensitivity to the contribution by K-dwarfs is washed away. As a result,
when used in combination, the Mg
and Mg
indices can be used to
constrain both the magnesium abundance and the shape of the IMF in the
low-mass regime. We return to this topic in Section 5.2.2.
There is a caveat here that needs to be highlighted. When we first
computed the model predictions with our fitting functions we obtained
too weak Mg
values for stars in the lower giant branch (
V
in M67, cf. Figure 10). That region of the
diagram is inhabited by K stars with intermediate surface gravities
(
), which are scarce in our spectral
library. Therefore, our fitting functions are poorly constrained in
this region of stellar parameter space. For that reason, we decided
to interpolate our predictions for gravity-sensitive indices, using
index-magnitude diagrams such as the one shown in Figure 10
to check the quality of the interpolations.
In Summary, we conclude that our fitting functions are generally in good agreement with those of Worthey et al. (1994). The differences found are mostly due to the better quality of our data and the higher accuracy of our stellar parameters. The latter validates our efforts to refine the stellar parameter determinations, as described in Section 2.3.