Other
Scientific paper
May 2000
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2000aas...196.5403c&link_type=abstract
American Astronomical Society, 196th AAS Meeting, #54.03; Bulletin of the American Astronomical Society, Vol. 32, p.761
Other
Scientific paper
An early serendipitous detection{*} of a variable X-ray afterglow in the hour after a burst gave impetus to tracking down similar phenomena in a more systematic way with other instruments such as RXTE's All Sky Monitor (ASM). However the signal--to--noise ratio could be quite low. Bayesian methods always allow one to derive the best possible measure of any model or hypothesis, given the data --- although the result is not always fast. Up until now, the RXTE ASM relied on a very fast, robust, direct matrix inversion technique, with a χ2 approximation. We are now in the process of implementing additional Bayesian methods. We start with the full Poisson likelihood, then marginalize over any uninteresting parameters, to get more specifically designed (if slower) likelihood ratios and credible regions for new sources. These methods should give similar results when the measured source counts are many of sigma above the background; but for fainter sources we expect more accurate constraints. We will describe our method, and results to date. This is funded by NASA Grant NAG5-8476. {*} (In HEAO 1 A2 Data; see Connors and McConnell 1995 Rome ICRC, 2, 57; Connors and Hueter 1998 ApJ 1998ApJ 501, 307 and references therein.)
Connors Alanna
Muno Michael
Smith Alastair D.
No associations
LandOfFree
Bayesian Methods for RXTE's All Sky Monitor 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 Bayesian Methods for RXTE's All Sky Monitor, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bayesian Methods for RXTE's All Sky Monitor will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1126179