A systematic search for long-term variability in a large sample of X-ray sources

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

25

Spaceborne Astronomy, X Ray Sources, Brightness, Error Analysis, Heao 2, Poisson Density Functions, Signal To Noise Ratios

Scientific paper

A method which uses the correct measurement error distribution (Poisson) and which naturally takes into account detections as well as upper limits has been developed to search for flux variability in X-ray sources. The method is applied to 256 sources observed at least twice with the Einstein Observatory Imaging Proportional Counter. These sources have, in the very large majority of cases, an X-ray flux in the range 1×10-13 to 6×10-12erg cm-2s-1 (0.2 - 3.5 keV). Thirty-one sources show flux variations with amplitude ranging from about 20% to a factor of 6. Flux variations of small amplitude seem to be fairly common, but can be detected only in bright sources or in sources observed with very long exposures. Variations of a factor of 2 or more are seen in about 15% of the sources for which variations of such an amplitude are detectable.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

A systematic search for long-term variability in a large sample of X-ray sources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with A systematic search for long-term variability in a large sample of X-ray sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A systematic search for long-term variability in a large sample of X-ray sources will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1813721

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.