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S. J. Chan and A. Mampaso
Instituto de Astrofísica de Canarias,
C/Via Láctea s/n, E-38200 La Laguna, Tenerife, Spain
Several galactic HII regions associated with small molecular clouds were observed with the IR-Camera on the 1.5m CST (Carlos Sánchez Telescope) of the Teide Observatory in October 1996. These IR data, combined with optical imaging (which will be obtained from the IAC-80 telescope), IRAS survey maps, and existing CO observations of the associated clouds, will allow us to undertake a detailed investigation of the gas-to-dust mass ratio, initial mass function and the star-formation efficiency in these complexes. Studies of the embedded clusters also allow us to derive the luminosity function and thus, using an appropriate mass-luminosity relation, to determine the stellar mass spectrum. The near-IR imaging study will allow us to search systematically for exciting sources and the low-mass stars associated with the nebulæ.
Some data were obtained during the test run of the IAC-IRCAM on February 1996. We are using these data to test our new IRCAM package, developed under the IRAF environment.
The IAC-IRCAM is based on a 256×256 NICMOS 3 array and has a plate
scale of 0.4´´/pixel. Currently, the camera contains seven filters covering
the wavelength range from 1.2µm to 2.32µm.
The 3 60s limiting magnitudes for point sources were
18.8mag at J, 18.5mag at H, and 16mag at K.
At the time of writing this paper, eighteen preliminary tasks have been written. A common characteristic of these tasks is ease in handling the bookkeeping of data reduction/analysis history. The tasks are as follows:
Figure: Part of the S269 field: left-before MDRIPNEW processing;
right-after MDRIPNEW processing. Original Postscript figures(144kB), (144kB).
Future tasks include:
S. J. Chan thanks the Program Organizing Committee for the Sixth Annual Astronomical Data Analysis Software and System Conference for offering her full financial support to attend the Conference.
Next: ETOOLS: Tools for Photon Event Data
Previous: A Method for Obtaining Reliable IRAS-LRS Data via the Groningen IRAS Server
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