The broad band B and R frames were taken during three observing runs in February 1995, May 1996 and June 1997 with the CAFOS focal reducer CCD camera attached to the Cassegrain focus of the Calar-Alto 2.2m telescope. Some details of the observations are given in Table 1.
Dates | Detector | Detector | Pixel | Pixel | Photm. | Exposure | Sky | Seeing |
type | size | size | scale | band | time | bright. | FWHM | |
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[s] | [
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1995, Feb. 02-03 | Tek#13 | 1024![]() |
24 | 0.489 | B | 60, 600 | 22.4 | 1.8 |
R | 60 | 20.9 | 2.1 | |||||
1996, May 20-24 | Loral 8 | 1024![]() |
15 | 0.333 | B | 60, 600 | 22.3 | 1.7 |
1997, June 12-15 | Site#1d | 2048![]() |
24 | 0.531 | B | 300, 600, 900 | 22.0 | 1.5 |
R | 150, 300, 600 | 20.9 | 1.5 | |||||
Zeropoint magnitudes (c 0,i) and colour coefficients (c1,i)
of the form
The raw CCD frames were de-biased and flat-field-corrected, as
described by Stickel et al. ([1993]). Further data reduction was done by
means of the Potsdam Image Processing System (PIPS) running within
MIDAS environment. The bias and flat-field corrected CCD frames were
searched for cosmic ray hits and possible hot and
cold pixels by looking for pixel values above the expected noise
and checking if they had a point spread function smaller than the
estimated seeing. By means of Laplace filtering such faulty pixels
were detected, masked out and replaced by the mean value of the
surrounding area using the background interpolation routine of the
PIPS. To improve the signal-to-noise ratio, we applied the adaptive
filtering technique described in Lorenz et al. ([1993]). The main
advantage of this technique consists in recognition of the local
signal resolution and adapting its own impulse response to this
resolution.
The maximum filter size and the strength of the filter are variable.
We varied the maximum filter size between 1515 pixels and
23
23 pixels depending on the quality of the frames. The filter
strength, defined by the minimum signal to noise ratio for the detection
of a local signal, was generally between 2.0 - 2.5
,
where
is the rms noise level of the sky background at each scale length.
After the filtering, a careful sky background level determination and subtraction was performed on the smoothed frame, as described in more detail in Vennik et al. ([1996]). After the background subtraction the galaxy image was extracted from the large CCD frame and interactively cleaned from disturbing objects like e.g. foreground stars projected onto the galaxy. We applied an interactive polygon editor for this cleaning procedure.
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