Computer Science – Performance
Scientific paper
Jul 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006spie.6270e..49d&link_type=abstract
Observatory Operations: Strategies, Processes, and Systems. Edited by Silva, David R.; Doxsey, Rodger E.. Proceedings of the S
Computer Science
Performance
8
Scientific paper
Instrument response uncertainties are almost universally ignored in current astrophysical X-ray data analyses. Yet modern X-ray observatories, such as Chandra and XMM-Newton, frequently acquire data for which photon counting statistics are not the dominant source of error. Including allowance for performance uncertainties is, however, technically challenging in terms of both understanding and specifying the uncertainties themselves, and in employing them in data analysis. Here we describe Monte Carlo methods developed to include instrument performance uncertainties in typical model parameter estimation studies. These methods are used to estimate the limiting accuracy of Chandra for understanding typical X-ray source model parameters. The present study indicates that, for ACIS-S3 observations, the limiting accuracy is reached for ~ 104 counts.
Drake Jeremy J.
Edgar Richard
Izem Rima
Jerius Diab
Kashyap Vinay
No associations
LandOfFree
Monte Carlo processes for including Chandra instrument response uncertainties in parameter estimation studies 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 Monte Carlo processes for including Chandra instrument response uncertainties in parameter estimation studies, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Monte Carlo processes for including Chandra instrument response uncertainties in parameter estimation studies will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1625319