LensMEM: A Gravitational Lens Inversion Algorithm Using the Maximum Entropy Method
نویسندگان
چکیده
منابع مشابه
Strong Gravitational Lens Inversion: a Bayesian Approach
If an extended source, such as a galaxy, is gravitationally lensed by a massive object in the foreground, the lensing distorts the observed image. It is straightforward to simulate what the observed image would be for a particular lens and source combination. In practice, one observes the lensed image on the sky, but blurred by atmospheric and telescopic effects and also contaminated with noise...
متن کاملZonation of Flood Susceptibility and Determining the Factors Affecting it Using the Maximum Entropy Method
Karaj dam basin in Alborz province is prone to destructive floods given to its special topographic and anthropogenic conditions. The purpose of this study is to determine the areas with flood susceptibility potential and prioritize the factors affecting it using the maximum entropy method. 14 factors affecting flood potential selection and linear testing Factors were analyzed by variance inflat...
متن کاملDetermination of the Potential Habitat of Range Plant Species Using Maximum Entropy Method
This study aimed to identify the most important physical variables affecting the distribution of four range plants species (Tamarix aphylla, Calligonum comosum, Prosopis spicigera and Salsola rigida) habitats and to prepare potential habitat map of the species using Maximum Entropy (MaxEnt) method in rangelands of Jiroft city, Kerman province, located in SE Iran. To this end, sampling of vegeta...
متن کاملA maximum-entropy method for reconstructing the projected mass distribution of gravitational lenses
The 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...
متن کاملMaximum Entropy Density Estimation Using a Genetic Algorithm
Several unsupervised learning algorithms, neural networks, and support vector machine based classification and clustering approaches are kernel-based, and require sophisticated algorithms for density estimation. The density estimation problem is a nontrivial optimization problem and most of the existing density estimation algorithms provide locally optimal solutions. In this paper we use an ent...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Astrophysical Journal
سال: 1996
ISSN: 0004-637X,1538-4357
DOI: 10.1086/177401