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  • 1
    Electronic Resource
    Electronic Resource
    Ultimate sensitivity with ISOCAM (2000)
    Springer
    Experimental astronomy 10 (2000), S. 291-303 
    Details
    ISSN: 1572-9508
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract We discuss the instrumental factors which constrain the sensitivity limits of the mid-infrared camera (ISOCAM) of ESA's Infrared Space Observatory (ISO). The observing strategy judged to be best suited to faint-source detection is described. A data analysis technique adapted to the extraction of the faintest point-sources is discussed. We report the application of these techniques to an extremely deep mid-IR observation of high redshift gravitationally lensed objects, in two filters, looking through a lensing galaxy cluster.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008026907211
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    Paper (German National Licenses)
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  • 2
    Electronic Resource
    Electronic Resource
    Glitch effects in ISOCAM Long Wave detector (2000)
    Springer
    Experimental astronomy 10 (2000), S. 305-318 
    Details
    ISSN: 1572-9508
    Keywords: cosmic ray effects ; glitch removal methods ; ISO spacecraft
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract One of the main limitations to the sensitivity of observations carried out withthe ISOCAM infrared camera comes from the responsivity variations and glitchescaused by impacts of charged particles. After more than 28 months of successfuloperations, the predicted glitch rate has been re-evaluated and compared toin-flight measurements. Glitch properties have been studied in orderto improve the removal algorithms, and thus the ultimate sensitivity of ISOCAM.All informations about the glitch phenomenon are very useful in order toprepare next space experiments.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008080015656
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    Paper (German National Licenses)
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  • 3
    Electronic Resource
    Electronic Resource
    Image processing through multiscale analysis and measurement noise modeling (2000)
    Springer
    Statistics and computing 10 (2000), S. 95-103 
    Details
    ISSN: 1573-1375
    Keywords: wavelet transform ; multiresolution analysis ; filtering ; deconvolution
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract We describe a range of powerful multiscale analysis methods. We also focus on the pivotal issue of measurement noise in the physical sciences. From multiscale analysis and noise modeling, we develop a comprehensive methodology for data analysis of 2D images, 1D signals (or spectra), and point pattern data. Noise modeling is based on the following: (i) multiscale transforms, including wavelet transforms; (ii) a data structure termed the multiresolution support; and (iii) multiple scale significance testing. The latter two aspects serve to characterize signal with respect to noise. The data analysis objectives we deal with include noise filtering and scale decomposition for visualization or feature detection.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1008938224840
    Library Location Call Number Volume/Issue/Year Availability
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    Paper (German National Licenses)
    Fulltext
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