Abstract
In its so-called “parallel mode”, ISOCAM, the mid-infrared camera on board ESA’s Infrared Space Observatory (ISO), continued to observe while other instruments were prime, thus providing a widespread, if uneven, high-sensitivity survey of the sky. Due to the variety of the data and the small number of readouts usually available, special data reduction algorithms are needed. We present the current state what has been done to overcome the problems involved; outline possible further improvements; and show how other types of ISOCAM observations may benefit from these new techniques.
ISO is an ESA project with instruments funded by ESA member states (especially the PI countries: France, Germany, the Netherlands and the United Kingdom) and with the participation of ISAS and NASA.
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© 2000 Springer-Verlag Berlin Heidelberg
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Ott, S., Pollock, A., Siebenmorgen, R. (2000). Data Reduction Techniques for the ISOCAM Parallel Survey— Challenges and Solutions. In: Lemke, D., Stickel, M., Wilke, K. (eds) ISO Surveys of a Dusty Universe. Lecture Notes in Physics, vol 548. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45553-1_36
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DOI: https://doi.org/10.1007/3-540-45553-1_36
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