Theoretical development and experimental verification of a DC-AC electronically rectified load-generator system model compatible with common network analysis software packages

1988 ◽  
Vol 3 (1) ◽  
pp. 123-131 ◽  
Author(s):  
A.A. Arkadan ◽  
T.J. Hijazi ◽  
N.A. Demerdash ◽  
J.G. Vaidya ◽  
V.K. Maddali
1993 ◽  
Vol 155 ◽  
pp. 405-405
Author(s):  
K.F. Bickert ◽  
R.E. Stencel ◽  
R. Luthardt

The German X-ray astronomy satellite ROSAT (launched 1990 June 1) performed an all-sky survey (from 1990 Jul 30 till 1991 Jan 26) with the Position Sensitive Proportional Counter (2 deg FoV, .1–2.4 keV) covering 96% of the sky. Analysis of bright X-ray sources suggests PSPC positions can be accurately determined to within 30 arcsec, and 1‥2 arcmin for soft weak ones. We have examined the survey data for detections from among a list of 189 symbiotic and symbiotic-like objects compiled by Vaidis (1988) with own extensions, chosen for completeness. For 178 objects, all-sky data was available. Standard Analysis Software System (SASS) and EXtended Standard Analysis Software packages (EXSAS) both use a three-step approach to detect sources. After quality screening, a sliding-window algorithm (LD) locates bright sources. These are excluded in the 2D-spline interpolated smoothed background map. A second sliding window MD runs on the background subtracted event files. All possible sources were then tested by maximum likelihood in the background-subtracted, exposure-corrected image. If LD, MD, or ML did not detected a source at the optical position, an upper limit ML program tried to find enhanced emission. For EXSAS, photon event files contain all photons within 20 arcmin radius around a source. Cut radii, background determination, and other parameters can be iteratively improved.


2008 ◽  
Vol 381-382 ◽  
pp. 599-602 ◽  
Author(s):  
O. Velychko

According to international standards the accredited calibration and testing laboratories are required to use reliable measuring instruments and to estimate an uncertainty of measurements. The variety of software tools and the different approaches taken will almost certainly ensure that for each laboratory there is a software package which will meet the needs. In this paper, several a software packages are made according to their validation for comparison. Briefly general principles of validating uncertainty analysis software packages are described. Briefly used validation methods are described.


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