In this paper we propose a method to classify faint objects from digital astronomical images based on multilayer feed-forward neural networks which have been trained by the back-propagation procedure (Rumelhart 1986) from real data.

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X-ray data and analysis packages can now be distributed directly to the desks of the user community using CDROMs and portable, familiar analysis packages (like IRAF/PROS). The Einstein IPC Slew Survey is an example of a complete X-ray data set distributed via CDROMs and is the first to use the new FITS standard for photon event lists (BINTABLE)

X-ray data from the ROSAT satellite will be distributed to Guest Observers on FITS tapes. The precise contents and format of the tape were chosen bearing the following issues in mind: 1. The primary data component for an X-ray observation is a list of photon events, and the user requires additional data for selection and analysis of the primary

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The microchannel plates, on which are based the operation of two-dimensional photon-counting detectors, have a local dead time (at each microchannel) much greater than the frame time used to capture images in techniques of Speckle interferometry. This phenomenon restricts the conditions for use of these detectors with regard to luminous intensity