Measuring X-ray variability in faint/sparsely-sampled AGN

Astronomy and Astrophysics – Astrophysics – High Energy Astrophysical Phenomena

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted to ApJ

Scientific paper

We discuss some practical aspects of measuring the variability amplitude of faint and distant active galactic nuclei (AGN), characterized by sparsely sampled lightcurves and low statistic. In such cases the excess variance, commonly used to estimate the intrinsic lightcurve variance, is affected by strong biases and uncertainties since it represents a maximum likelihood variability estimator only for identical/normal distributed measurements errors and uniform sampling. We performed realistic Monte Carlo simulations of AGN lightcurves, reproducing both the sampling pattern and measurement errors typical of multi-epoch deep surveys, such as the XMM-Newton observations of the Chandra Deep Field South (CDFS), or assuming different sampling patterns that may characterize long surveys with sub-optimal observing conditions. We used the results to estimate our ability to measure the intrinsic source variability as well as to constrain the observing strategy of future X-ray missions studying distant and/or faint AGN populations.

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

Measuring X-ray variability in faint/sparsely-sampled AGN 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 Measuring X-ray variability in faint/sparsely-sampled AGN, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Measuring X-ray variability in faint/sparsely-sampled AGN will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-35032

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