... Up: Data Analysis and Processing Techniques . ... Also, a method for quality control of CCD observations is suggested. ... Everyone who observes a celestial object using a CCD detects moving celestial objects as a ``by product''. ... We hope that our investigations may be useful for near-Earth space control and also for searches of the moving celestial objects through analysis of old and new CCD frames obtained at any amateur or professional astronomical observatory. ...

Because of your knowledge of physics and interest in the environment, you have gotten a summer job with an organisation which wants to orbit a satellite to monitor the amount of chlorine ions in the upper atmosphere over Australia. It has been determined that the satellite should collect samples at a height of 100 km above the Earth's surface. Unfortunately, at that height air resistance would make the amount of time the satellite would stay in orbit too short to be useful. ...

... HIPASS results . ... Of the BGC galaxies, 138 have redshifts for the first time. ... We really need ALFA to address that faint end. ... This estimate accounts for the smaller beam size, the number of pixels, and the available solid angle. ... HIPASS (with an integration time of 250 sec per pixel) was complete only for M * galaxies at cz ALFA (with the same intergration time) would be complete to 15,000 km/s . ... The integration time would be only 1 sec per beam for a total time of about 2.6 hours. ...

... OOF . ... Technical notes . ... OOF software . ... History of the OOF data reduction software . ... Building . ... SWIG 1.3.31 or later * PGPLOT * GSL V 1.6 or later * Boost C++ libraries v. 1.30.0 or later * CFitsIO Following Python Libraries: * numarray * pyfits ** Note: Problems have been reported with pyfits + numpy. ... Note . The versions of components comprising each release are a more definitive description of a build of the OOF system then the version shown in titles of these sections. ...

Examples of pipeline processing . ... This page presents examples of "on the fly" processing of FITS astronomical data available on the WEB using the HyperLeda pipeline tools. ... In many cases, raw data are archived and a consisten description of the file (FITS header) allows to process them on the fly. ... This first command makes a "pre-view" display of the image. o=fa:L93111HP1/00147&z=vg . ... The result of a pipeline processing is a FITS file that you can read as a normal disk file. ...

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... AstroAsciiData is a Python module to handle ASCII tables. ... The idea to develop this Python module emerged from the fact that ASCII tables continue to be one of the most popular and widely used data exchange formats in astronomy and probably science in general. ... To load this ASCII table, go into Python, load the AstroAsciiData module and read in the table with: . ... demo = asciidata.open('webexa.txt') . ... Users who only want to work with ASCII tables neeed no further python modules. ...

... 2.1 What is Dithering? ... 2.4.1 No Dithering . ... 2.4.4 Dithering for Parallel Images . 2.5 More Detailed Considerations . 2.5.1 Data Quality Issues involved in Dithering . ... 2.5.4 How many Images to Obtain at each Dither Location . ... 3.2.3 Drizzle . ... 3.4 Image Fidelity After Drizzling . ... 4.2.1 Introduction . ... 5.3.2 Parameters . 5.3.3 Basic Examples . ... 5.4.8.1 General Explanation . 5.4.8.2 Parameter Details . ... 5.5 Optimizing the Drizzle Parameters for Your Data . ...

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