Basic N-Body Modelling of the Evolution of Globular Clusters. I. Time
Scaling
Aarseth, S. J.
1998-05-28
Search results
105 records were found.
Comment: uuncoded PostScript file (27 pages). Hard copy figures will be sent
upon request (saracco@bach.mi.astro.it)
Comment: 23 pages, 6 figure. Accepted for publication in Astrophysical Journal
Comment: 20 pages, Astronomy and Astrophysics, accepted
Comment: 12 pages, 5 figures, MNRAS, accepted
Comment: 15 pages LaTeX file, 3 postscript figures. Uses elsart.sty and
elsart.cls Accepted for publication in New Astronomy
Comment: 17 pages, 22 figures, accepted on A&A
Comment: 6 pages, 3 postscript figures, Accepted for publication as Letter in
MNRAS
Comment: 40 pages, 10 figures, accepted for publication in Astronomy &
Astrophysics
We present the X-ray data and the optical identifications for a deep ROSAT
PSPC observation in the "Marano field". In the inner region of the ROSAT field
(15' radius) we detected 50 X-ray sources with Sx >= 3.7x10^(-15) erg/cm^2/s.
When corrected for the different sensitivity over the field, the estimated
observed surface density at Sx >= 4x10^(-15) erg/cm^2/s is 272+/-40
sources/sq.deg. Four X-ray sources, corresponding to 8% of the total sample,
have been detected in radio images with a flux limit of about 0.2 mJy. Careful
statistical analysis of multicolour CCD data in the error boxes of the 50 X-ray
sources has led to the identification of 42 sources, corresponding to 84% of
the X-ray sample. These 42 reliable identifications are 33 AGNs (including two
radio galaxies and one BL Lac candidate; 79% of the identified sources), 2
gal...
Preliminary results of early-type galaxies that will be part of a galaxy catalog to be derived from the complete Rosat data base are presented. The stored data were reduced and analyzed by an automatic pipeline. This pipeline is based on a command language scrip. The important features of the pipeline include new data time screening in order to maximize the signal to noise ratio of faint point-like sources, source detection via a wavelet algorithm, and the identification of sources with objects from existing catalogs. The pipeline outputs include reduced images, contour maps, surface brightness profiles, spectra, color and hardness ratios.
