Statistics – Computation
Scientific paper
Jan 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992ap%26ss.187...87w&link_type=abstract
Astrophysics and Space Science (ISSN 0004-640X), vol. 187, Jan. 1992, p. 87-103. Research supported by Chinese Academy of Scienc
Statistics
Computation
1
Cosmology, Gravitational Lenses, Red Shift, Statistical Analysis, Amplification, Computational Astrophysics, Computerized Simulation, Luminosity, Quasars
Scientific paper
The statistics of multiple gravitational lensing in a locally inhomogeneous universe is taken into account, based on the expansion of the mean amplification into the summation of various lenses and the pointlike models for both background sources and lensing objects. By comparing the deviation of the effects of various lenses from mean amplification, the redshift ranges over which different lenses dominate are investigated. In particular, the accuracy of a single lensing approximation, which has been widely used in previous statistical lensing, is demonstrated. As the application of a single lensing approximation, the lowest correction to the Mattig's relation due to the inhomogeneities in universe and the lowest effect on the number counts of background sources due to amplification bias are reconsidered. It is emphasized the fact that the effect of statistical lensing, even in a single lensing approximation, is of significance for modern observational cosmology.
No associations
LandOfFree
The statistics of multiple gravitational lensing and the application of a single lensing approximation 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 The statistics of multiple gravitational lensing and the application of a single lensing approximation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The statistics of multiple gravitational lensing and the application of a single lensing approximation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-934518