An Investigation into the mp Scale of Volume I of Zwicky et al.'s
Catalog of Galaxies and Clusters of Galaxies
Christopher Ke-shih Young and Zheng-yi Shao, PASA, 18 (2), in press.
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Estimating mp from Bt
Should one wish to estimate mp values for would-be CGCG objects not actually listed in the catalogue, it would first be necessary to ascertain whether the mp scale suffers from a genuine faint-end scale error. This is not a trivial problem because, as is evident from Fig. 3, the hard faint-end limit of the CGCG makes it difficult to deduce how much of the skewness in the faint-end distribution of data points (with respect to the equality line) is due to noise and how much is due to scale errors. If one now considers the case shown in Fig. 5 in which mp is the dependent variable plotted as a function of Bt, we would need information about ``missing'' points above the dashed-dotted line representing the hard faint-end limit of the mp scale, in order to be able to pursue our investigation to the right of the dotted line, representing the mag. measured completeness limit of the CGCG. , beyond which the locus of data points becomes too detached from the equality line for one to be able to get a good handle on the parameters of the Gaussian distribution.
Bt range | sample | CGCG |
| mean mp |
(mag.) | size | complete- | (mag.) | (mag.) |
(objects) | ness | |||
Bt < 10.0 | 5 | 1.000 | 0.55 (0.17) | 10.82 (0.25) |
| 3 | 1.000 | 0.22 (0.09) | 11.20 (0.12) |
| 0 | 1.000 | N/A | N/A |
| 3 | 1.000 | 0.33 (0.13) | 11.60 (0.19) |
| 2 | 1.000 | 0.20 (0.10) | 12.00 (0.14) |
| 8 | 1.000 | 0.35 (0.09) | 12.50 (0.12) |
| 5 | 1.000 | 0.29 (0.09) | 13.04 (0.13) |
| 11 | 1.000 | 0.32 (0.09) | 13.45 (0.10) |
| 13 | 1.000 | 0.37 (0.07) | 14.08 (0.10) |
| 3 | 1.000 | 0.21 (0.08) | 14.53 (0.12) |
| 5 | 0.750 | 0.49 (0.09) | 15.32 (0.09) |
| 9 | 0.714 | 0.28 (0.03) | 15.49 (0.03) |
| 14 | 0.680 | 0.28 (0.02) | 15.52 (0.02) |
| 7 | 0.244 | 0.29 (0.06) | 15.85 (0.06) |
Although our faint-galaxy sample is considerably smaller than that of Gaztanaga & Dalton, thus ruling out the use of their method here, we were able to probe as deep as Bt = 16.0 without the need for a straight-line approximation. This was possible because, within the VPC survey area at least, we knew precisely the CGCG's degree of completeness as a function of magnitude. We therefore adopted the following procedure. The 90 Sample MI objects were first sorted into bins of 0.5 mag. width (in Bt space). Although this sample is smaller than the VPC galaxy sample used to measure the completeness of the CGCG, we were still able to use the completeness ratios derived from the much larger Sample CI, as summarised in Table 1 and Table 2. Assuming that for each bin separately, the mp and missing mp values collectively observed a Gaussian distribution about a mean mp value with a sample standard deviation of
, we then had enough information to recover an estimate of the mean mp value and its corresponding
by means of a maximum-likelihood analysis. Our results are tabulated in Table 2 and plotted on Fig. 5. The latter figure appears to confirm that there is indeed a serious scale error faintward of if mp values are treated as total magnitudes. We have computed the best fitting weighted cubic curve in order to provide an approximate transformation equation for obtaining mp from Bt for objects missing from the CGCG over the range Bt < 16.5:
Although the associated scatter is only 0.32 mag. for Bt < 14.7, polynomial fits such as this have their limitations-mainly at the faint end in this case. Therefore, when higher precision is required we recommend interpolation of the mean mp values listed in Table 2 (which also gives a detailed breakdown of the measured scatter,
, as a function of Bt). As is evident from Fig. 5, we find that faintward of , the Volume I magnitude scale deviates even more from a Pogson one than does the Volume V scale, as investigated by Gaztanaga & Dalton.
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© Copyright Astronomical Society of Australia 1997