Titlebook: Data Analysis in Astronomy IV; V. Gesù,L. Scarsi,H. U. Zimmermann Book 1992 Springer Science+Business Media New York 1992 astronomy.astrop

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A. L. P. Caforio,N. G. Mahon,W. J. McKennahe primary mirror suffers from spherical aberration. The resulting image quality is considerably below the design specifications, and causes a loss of sensitivity of approximately 2.5 magnitudes. Fortunately, the HST point spread function retains a sharp core having almost the nominal diffraction-li

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A. L. P. Caforio,N. G. Mahon,W. J. McKennahe Hubble Space Telescope. STSDAS achieves system independence by being fully layered on the Image Reduction and Analysis Facility (IRAF) developed at the National Optical Astronomy Observatories. STSDAS augments the general capabilities of IRAF, and along with other IRAF-based analysis packages suc

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Matthew Davenport,Laura E. Dickinson Ph.D.later the ROSAT telescope began its operation with an observation of the central parts of the Large Magellanic Cloud. This long awaited event marked the begin of a new phase in X-ray astronomy during that an extension of our present database on X-ray sources by an order of magnitude is expected.

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https://doi.org/10.1007/978-3-030-10698-0ute for Extraterrestrial Physics (MPE), which provides the scientific and calibration program input, and the German Space Operations Center (GSOC), whose responsibility it is to generate a mission timeline satisfying all operational constraints. An optimum solution for the mission timeline is achiev

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Chronically Evolving Viral Hepatitisax-Planck Institut für Extraterrestrische Physik (MPE, Garching). As has been elaborated in a previous contribution the Standard Processing performs two major tasks: in a first step data are normalized and calibrated and then a Standard Image and Source Analysis is performed. The Principal Investiga

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HST Image Restoration - Status and Prospectsds, hardly seen before in optical astronomy. The characteristics of the aberrated point-spread function together with the stochastic properties of quantum-limited data have lead to the recognition of statistical algorithms as the methods of choice for HST image restoration.