In Paper III an integrated spectrum of M 67 was obtained from coaddition
of individual spectra of cluster members, weighted according to their
luminosities and relative numbers, assuming a Salpeter IMF. Since publication
of that work a few revisions have been made to the cluster integrated spectrum
and Lick indices measured in it, so that an update on these observables is
made necessary here. The first important change relative to the values
published in Paper III refers to the EW measurements, which had to be
retaken, for the reasons exposed in Section 2.2. The second
important revision relates to star #6472 (ID from Montgomery, Marschall
& Janes 1993), which has been erroneously included in the coaddition as
a first-ascent giant star. Inspection of Figure 1 in Paper III suggests
that this star is too blue (by
0.2 mag in B-V) to be on
the red giant branch of M 67, which is confirmed by its warm spectrum. It
is also too bright and too blue to be an early-AGB star. Because of its
uncertain evolutionary stage, we decided to remove this star from the
coaddition to produce the cluster integrated spectrum. In the third
relevant change, we performed a test which showed that main sequence
M 67 stars fainter than V
15 (the magnitude limit in Paper III
sample) contribute significantly to the integrated Lick indices of
the cluster. In order to correct for this effect, we used the Padova
isochrones that best matched the cluster color-magnitude diagram (Girardi
et al. 2000, solar-scaled, solar metallicity, 3.5 Gyr-old) to compute model
predictions including and excluding stars less massive than
0.85
. The difference between these two model predictions was used to
correct the Lick indices measured in the cluster integrated spectrum for
the contribution of low-mass stars. Both corrected and uncorrected Lick
indices for M 67 are listed in Table 26. Comparison between the
two sets of indices shows the corrections are small, but not negligible
for some indices. These numbers supersede the values provided in Paper
III and will be used throughout this paper in our comparison with model
predictions.