activity
19982012
most citedBackground-Source Separation in astronomical images with Bayesian probability theory (I): the method

35 citations · 38 across the 5 of their papers we have counts for

collaborators

5 papers

astro-ph.IM2012

Bayesian mixture models for Poisson astronomical images

Fabrizia Guglielmetti, Rainer Fischer, Volker Dose

Astronomical images in the Poisson regime are typically characterized by a spatially varying cosmic background, large variety of source morphologies and intensities, data incomplet…

astro-ph.IM2009★ 35 cited

Background-Source Separation in astronomical images with Bayesian probability theory (I): the method

F. Guglielmetti, R. Fischer, V. Dose

A probabilistic technique for the joint estimation of background and sources with the aim of detecting faint and extended celestial objects is described. Bayesian probability theor…

physics.data-an2002★ 3 cited

Bayesian analysis of magnetic island dynamics

R. Preuss, M. Maraschek, H. Zohm +1

We examine a first order differential equation with respect to time coming up in the description of magnetic islands in magnetically confined plasmas. The free parameters of this e…

physics.data-an2002

Marginalization using the metric of the likelihood

R. Preuss, V. Dose

Although the likelihood function is normalizeable with respect to the data there is no guarantee that the same holds with respect to the model parameters. This may lead to singular…

physics.data-an1998

Depth Profile Reconstruction from Rutherford Backscattering Data

U. V. Toussaint, K. Krieger, R. Fischer +1

An adaptive kernel method in the Bayesian framework together with a new simulation program for Rutherford backscattering spectroscopy (RBS) have been applied to the analysis of RBS…