4.5 Uncertainties
We now summarize the error budget in the GCLF method
as it actually works. Consider an application
in which the GCLFs for 2 or 3 giant ellipticals in the same
cluster of galaxies have been measured.
Thus if the uncertainty e (m0) averages ± 0.3 mag
per galaxy, the
individual values can be combined and the mean < m0 >
for the entire group obtained to ± 0.2 mag (see
Harris et al. 1991). The resulting distance modulus will then
have an internal uncertainty due to the measurement
process made up of:
(i) ± 0.2 mag for e (<m0>)
(note that for the Virgo system which represents
the current best case, 0.1 mag);
(ii) ± 0.2 mag for the internal uncertainty in M0, as established from the calibrating galaxies;
(iii) ± 0.05 mag (typically) in the photometric scale zeropoint;
(iv) ± 0.05 mag for foreground absorption uncertainty (in most cases of interest, AV is quite small since the program galaxies are at high latitude; for Virgo, the uncertainty would be about half this value).
Since these uncertainties are uncorrelated, they should be added in quadrature and the net internal uncertainty e (m - M)0 for the system will be typically ± 0.3 mag.
There are also several potential sources of external error having to do with properties of the galaxies themselves: as usual, these are harder to quantify, but the known items include:
(1) The uncertainty in the fundamental RR Lyrae luminosity
scale. Although MV(RR) is a continuing matter of debate,
recent discussions both observational and theoretical
(e.g.
Hesser et al. 1987;
Jones et al. 1988;
Fernley et al. 1990;
Sandage and
Cacciari 1990;
Lee et al. 1990;
Walker 1992)
indicate e (M0) ± 0.15 mag from this source.
(2) The systematic mean difference M0 (turnover) between galaxies of
different types, and most importantly between the Local Group spirals
and the more distant large ellipticals. Calibrating this term thoroughly
is the most urgent observational need at the present
time for developing the GCLF technique.
With additional measurements of M0 in
several more key galaxies (see below), it should be possible
to reduce the error due to
M0 to a level less than ~ 0.1 mag.
(3) The intrinsic scatter of M0 about the mean
relation of M0 vs. galaxy type. Again, this is not well
known at present, but the existing comparisons within the
Local Group and Virgo
(Figure 8) suggest e
(M0) ± 0.2 mag from this source.
(4) Scatter due to metallicity differences between
globular cluster systems in different galaxies. The clusters
in giant ellipticals have mean metallicities consistently near
[Fe/H] = -1.0
(Mould et al. 1987;
Mould et al. 1990b;
Geisler and Forte
1990;
Couture et al. 1990,
1991),
whereas in the Milky Way and
M31 the average extends down to [Fe/H] -1.6 depending
on the region of the halo
(Zinn 1985;
Elson and Walterbos
1988).
For the usual broadband indices, such metallicity differences translate into
~ 0.1-mag shifts in mean color, or in luminosity if the
observations are done in bands such as B which are
metallicity-sensitive
(Wagner et al. 1991;
Bridges et al. 1991;
Couture et al. 1990).
(5) Systematic errors in fitting the fiducial GCLF curve to the
observations, leading to an incorrect estimate of m0.
This error can arise in cases where the photometric limit of the
observations is near or at the turnover, so that the curve fitting
must be done after having corrected the data for image detection
incompleteness, internal photometric uncertainty, and background
contamination, all of which are strong functions of magnitude near the
photometric limit. Effects of increasing photometric error with
magnitude tend to bias m0 faintward, while the other
effects may bias the result either
positively or negatively.
Biases in either direction may also occur (see
above) if the wrong dispersion
is used for the fitted curve. Although these errors seem to be no
larger than the other items on this list, they have not yet been
completely modeled in most real cases to date;
for other related comments, see
Hanes and Whittaker
(1987),
van den Bergh et
al. (1985), and
Harris et al. (1991).
More powerful maximum-likelihood methods for matching the data to a
model including all these effects simultaneously
are being developed
(Secker and Harris
1992)
and will enable more nearly unbiased fits to be made.
The total budget for the external errors, under the most pessimistic assumption that they are uncorrelated, is 0.27 mag. Combining this with the internal errors yields a total uncertainty for the method of 0.4 mag per galaxy.
As imaging capabilities continue to improve, other effects which are currently too small to be important may become noticeable. For example, over the past decade, technical improvements have pushed image quality to the point (< 0."4) where globular clusters in galaxies as distant as Virgo can actually be resolved as nonstellar images. While this should not seriously affect the photometry when performing either point-spread function fitting or aperture photometry, it may also provide a means for better rejection of both field stars and background galaxies from the samples.