========================================================================== IX/31 The WGACAT version of ROSAT sources (White+ 2000) The following files can be converted to FITS (extension .fit .fgz or .fiZ) wgacat.dat wgasmall.dat ========================================================================== Query from: http://vizier.u-strasbg.fr/viz-bin/VizieR?-source=IX/31 ==========================================================================
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Beginning of ReadMe : IX/31 The WGACAT version of ROSAT sources (White+ 2000) ================================================================================ The WGACAT version of the ROSAT PSPC Catalogue, Rev. 1 White N.E., Giommi P., Angelini L. <Laboratory for High Energy Astrophysics (LHEA/NASA), Greenbelt (2000)> ================================================================================ ADC_Keywords: X-ray sources ; Cross identifications Mission_Name: ROSAT Description: WGACAT is a point source catalogue generated from all ROSAT PSPC (Position Sensitive Proportional Counter) pointed observations. This catalog has been generated by N.E. White (HEASARC/GSFC), P. Giommi (SDC/ASI) and L. Angelini (HEASARC/GSFC) and is a private research effort, not related to the official catalogs generated by the ROSAT project. The WGACAT was made first publicly available in November 1994 through the HEASARC on-line service (White, Giommi and Angelini 1994), with a first minor revision in March 1995 (WGACAT95). It was generated using all the public ROSAT PSPC pointed data available than, corresponding to 75% of the entire set, and featured 68000 detections of which 62000 were unique sources. The current version, released in May 2000, is the final and complete version of WGACAT and includes the remaining sequences not processed in the WGACAT95. WGACAT (May 2000) contains about 88,000 detections, with more than 84,000 individual sources, obtained from 4160 sequences. The catalog was generated using an optimized sliding cell detect algorithm in XIMAGE (first developed for the EXOSAT project). The inner and outer parts of the images were run separately, to maximize the sensitivity to source detection. This method is very sensitive in finding point sources, but can also find spurious sources where there is extended emission. We have visually inspected each detection, removed the obvious spurious cases and assigned a quality flag to each detection.