Search Publications

Transient correction of the LW-ISOCAM data for low contrasted illumination
DOI: 10.1051/aas:2000130 Bibcode: 2000A&AS..141..533C

Abergel, A.; Coulais, A.

The detector of the Long Wavelength channel of the ISOCAM camera on-board the Infrared Space Observatory (ISO) presents systematic memory effects of the response which can bias the photometry by a factor as high as 40%. We show that, for uniform illumination, the non linear model developed by \cite[Fouks and Schubert (1995)]{fou95} for the detecto…

2000 Astronomy and Astrophysics Supplement Series
ISO 55
Optimizing ISOCAM data processing using spatial redundancy
DOI: 10.1051/aas:2000285 Bibcode: 2000A&AS..146..519M

Miville-Deschênes, M. -A.; Boulanger, F.; Abergel, A. +1 more

Several instrumental effects of the Long Wavelength channel of ISOCAM, the camera on board the Infrared Space Observatory, degrade the processed images. We present new data-processing techniques that correct these defects, taking advantage of the fact that a position in the sky has been observed by several pixels at different times. We use this re…

2000 Astronomy and Astrophysics Supplement Series
ISO 21
ISOCAM observations of the very deep IRAS 60 micron sample in the NEP region. I. The data
DOI: 10.1051/aas:2000318 Bibcode: 2000A&AS..141..257A

Aussel, H.; Franceschini, A.; De Zotti, G. +2 more

We present the results of ISO observations with the CAM LW3 filter, centered at lambda_eff = 14.3 mu m, of 94 out of the 98 galaxies comprising the complete 60 mu m IRAS deep survey (IDS) sample in the north ecliptic polar region. In addition, we observed a source detected by IRAS at 25 mu m and found to have particularly interesting properties. A…

2000 Astronomy and Astrophysics Supplement Series
ISO 16
A combined approach for object detection and deconvolution
DOI: 10.1051/aas:2000293 Bibcode: 2000A&AS..147..139S

Valtchanov, I.; Starck, J. -L.; Bijaoui, A. +1 more

The Multiscale Vision Model is a recent object detection method, based on the wavelet transform. It allows us to extract all objects contained in an image, whatever their size or their shape. From each extracted object, information concerning flux or shape can easily be determined. We show that such an approach can be combined with deconvolution, …

2000 Astronomy and Astrophysics Supplement Series
ISO 12