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2. Observations

2.1. Optical polarimetry

Our sample of 33 background stars was selected from the list of field stars provided by Whittet et al. (1987). Linear polarization measurements were carried out in 1992 March 13 to 17 at the ESO/MPI 2.2 m telescope equipped with the two-channel photo-polarimeter PISCO (Stahl et al. 1986; Schwarz 1989). Measurements were obtained in the Cousins UBVRI system using a diaphragm of 15 arcsec. The instrumental polarization compensation mode, involving a rotation of a compensating phase plate unit by 180 degrees, was systematically used. The data acquisition was performed using the two-apertures mode for sky polarization compensation (the two apertures being separated by 66'' in the East-West direction). Calibration in polarization, P, and position angle, tex2html_wrap_inline1933, was done through observations of the polarization standard star HD 147084 (o Sco) (Hsu & Breger 1982).

The uncertainty in the position angle in all cases was estimated to be less than 2 degrees, using polarized standard stars and the internal calibration of the polarimeter. The instrumental polarization was measured by observing the unpolarized standard stars HD 100623, HD 115617 (61 Vir) and HR 6060 (18 Sco) (Serkowski 1974; Walborn 1968). Measurements of some bright stars were also performed with a polaroid inserted in order to determine the instrumental efficiency. These yielded negligible corrections.

The reduction of the polarimetric data was performed using a revised version of the MIDAS procedure PISCO. For each star the degree of polarization was determined, with values ranging from zero up to about 8 percent. The observational errors are determined from the power in the 5th and higher harmonics in the Fourier-transform, using an algorithm which is part of the PISCO data reduction package (Schwarz 1989). Also, the correction for noise biasing, according to the analytical formula tex2html_wrap_inline1935 has been applied to the observed polarization, p', using the estimated standard deviation of the polarization, tex2html_wrap_inline1939, derived from the PISCO reduction procedure (Clarke & Stewart 1986).

The list of observed stars is given in Table 1 (click here), together with other relevant information. The optical polarization data are given in Table 2 (click here). For reference, the first column of each table gives the list number from Whittet et al. (1987).

  table268
Table 2: Polarization data

2.2. High resolution spectroscopy

The background stars earlier than A0, and suitable for the spectroscopic study of the cloud were selected from the polarimetry sample. In addition, we included the stars HD 97300 and HD 97048, which are thought to be members of the Cha I association, to improve the completeness of our spectroscopic sample.

High resolution spectroscopy was done with the Coudé Auxiliary Telescope (CAT) of the European Southern Observatory at Cerro La Silla (Chile) during two observing runs in 1992 March and 1994 January. The data were obtained using an RCA CCD (ESO # 9) and the CES short camera in the blue path. This instrument configuration provided a resolving power, tex2html_wrap_inline1943 at the studied wavelengths. A few additional spectra were obtained in 1994 July using the CAT with the CES long camera, operated in remote control from Garching. The July data have a higher resolving power tex2html_wrap_inline1945 = 130 000, and were used to complete coverage of the region, and obtain more detailed velocity profiles for selected stars.

Data reduction was performed using the IRAF system, in which the standard CCD reduction packages were used to remove cosmic rays, perform bias subtraction and flat-field the images. Spectral extraction was done using the optimal extraction algorithm in the IRAF task tex2html_wrap_inline1947, in which pixel values across an order of a spectrum are weighted according to the calculated signal to noise ratio. The signal to noise was estimated using the readout noise and gain of the CCD. Spectra were wavelength calibrated using a Thorium/Argon calibration lamp, and a linear interpolation of matched features.

For each spectrum a fit to the continuum was performed using a high order spline, and a correction was applied to transform the spectra to a uniform LSR velocity reference frame, by removing the velocity contributed by terrestrial and solar motions. Column densities were computed by using a Voigt profile model, based on a version of the STARLINK curve of growth programme adapted for IRAF. For some of the spectra, line profiles were modeled using the MIDAS image processing package. Each line profile was modeled using the minimum number of components necessary to reproduce the observed data with residual values comparable to the noise in the data. Our spectral resolution limited us to separating line components with velocity differences of more than 1-2 km tex2html_wrap_inline1951, and we cannot rule out the possibility of very narrow blended components. However, since the turbulent velocities in molecular clouds are expected to be 1-2 km stex2html_wrap_inline1955, we believe our instrumental resolution is able to resolve the components present in the Chamaeleon cloud. This is also consistent with the determinations based on CO observations in the Cha I cloud obtained by Dubath et al. (1995).

2.3. IR data analysis

For the Chamaeleon region we obtained the latest coadded plates for all four bands of the ISSA survey. The pixel size within the plates is 1.5' which, in the case of the 100 tex2html_wrap_inline1959m band, oversamples the actual instrumental resolution of the satellite, which is closer to 4'. We removed zodiacal background residuals from each plate by using an iterative background removal programme which selects background points based on an analysis of the histogram of pixel values, and fits a flat background to the selected points. IRAS colors were derived using the programme skyview from IPAC, which averages pixel fluxes in a 9 pixel region centered on the coordinates of our program stars. The larger sampling region makes that the IRAS colours have a higher signal to noise ratio, and samples a region 4.5'' square, with uncertainties in the IRAS flux, tex2html_wrap_inline1965, of tex2html_wrap_inline1967 0.08 mJy Srtex2html_wrap_inline1969 for 12 tex2html_wrap_inline1971m and 25 tex2html_wrap_inline1973m, and tex2html_wrap_inline1975 0.15 mJy Srtex2html_wrap_inline1977 for the 60 tex2html_wrap_inline1979m and 100 tex2html_wrap_inline1981m passbands.


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