1998
DOI: 10.1046/j.1365-8711.1998.01877.x
|View full text |Cite
|
Sign up to set email alerts
|

A maximum-entropy method for reconstructing the projected mass distribution of gravitational lenses

Abstract: A B S T R A C TThe maximum-entropy method is applied to the problem of reconstructing the projected mass density of a galaxy cluster using its gravitational lensing effects on background galaxies. We demonstrate the method by reconstructing the mass distribution in a model cluster using simulated shear and magnification data to which Gaussian noise is added. The mass distribution is reconstructed directly and the inversion is regularized using the entropic prior for this positive additive distribution. For rea… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

4
86
0

Year Published

2006
2006
2012
2012

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 85 publications
(90 citation statements)
references
References 18 publications
4
86
0
Order By: Relevance
“…Therefore, in this paper we utilize the Hessian matrix to estimate the rms values of the mass pixels. Bridle et al (1998) demonstrated that the errors derived from their Hessian matrix are consistent with the values obtained from Monte Carlo simulations. We also confirmed their claim by performing independent simulations using a low-resolution (20 × 20) mass grid.…”
Section: Mass Luminosity and Significance Estimationsupporting
confidence: 72%
“…Therefore, in this paper we utilize the Hessian matrix to estimate the rms values of the mass pixels. Bridle et al (1998) demonstrated that the errors derived from their Hessian matrix are consistent with the values obtained from Monte Carlo simulations. We also confirmed their claim by performing independent simulations using a low-resolution (20 × 20) mass grid.…”
Section: Mass Luminosity and Significance Estimationsupporting
confidence: 72%
“…We determine by iteration the Bayesian value of ¼ˆ(p; m) by the following equation (Bridle et al 1998):…”
Section: Maximum Entropy Mass Reconstruction Methodsmentioning
confidence: 99%
“…(1) and (2). (Magnification information can also be used to improve the reconstruction (see Bridle et al 1998), but is typically more noisy than the shear measurements and has not been considered in this paper). For this purpose, we take the Fourier transform of these equations and obtain…”
Section: Mass Inversionmentioning
confidence: 99%