| dc.contributor.author | Kayabol, K. | |
| dc.contributor.author | Sanz Estévez, José Luis | |
| dc.contributor.author | Herranz Muñoz, Diego | |
| dc.contributor.author | Kuruoglu, E. E. | |
| dc.contributor.author | E. Salerno, E. | |
| dc.contributor.other | Universidad de Cantabria | es_ES |
| dc.date.accessioned | 2023-04-04T12:53:10Z | |
| dc.date.available | 2023-04-04T12:53:10Z | |
| dc.date.issued | 2011-08 | |
| dc.identifier.issn | 0035-8711 | |
| dc.identifier.issn | 1365-2966 | |
| dc.identifier.uri | https://hdl.handle.net/10902/28446 | |
| dc.description.abstract | We propose a Bayesian approach to joint source separation and restoration for astrophysical diffuse sources. We constitute a prior statistical model for the source images by using their gradient maps. We assume a t-distribution for the gradient maps in different directions, because it is able to fit both smooth and sparse data. A Monte Carlo technique, called Langevin sampler, is used to estimate the source images and all the model parameters are estimated by using deterministic techniques. | es_ES |
| dc.description.sponsorship | The authors would like to thank Anna Bonaldi (INAF, Padova, Italy), Bulent Sankur (Bogazici University, Turkey) and Luigi Bedini (ISTI, CNR, Italy) for valuable discussions. The simulated source maps are taken from the Planck Sky Model, a set of maps and tools for generating realistic Planck simulations made available thanks to the efforts of the Planck Working Group 2 (WG2) team. Some of the results in this paper have been derived using the
HEALPIX Gorski et al. (2005) package. KK undertook this work with the support of the ICTP Programme for Training and Research in Italian Laboratories, Trieste, Italy, through a specific operational agreement with CNR-ISTI, Italy. Partial support has also been given by the Italian Space Agency (ASI), under the project COFIS (Cosmology and Fundamental Physics). The project is partially supported by CNR-CSIC bilateral project no. 2008IT0059. | es_ES |
| dc.format.extent | 9 p. | es_ES |
| dc.language.iso | eng | es_ES |
| dc.publisher | Oxford University Press | es_ES |
| dc.rights | This article has been accepted for publication in Monthly notices of the Royal Astronomical Society © 2011 The authors. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. | es_ES |
| dc.source | Monthly Notices of the Royal Astronomical Society, 2011, 415(2), 1334-1342 | es_ES |
| dc.subject.other | Methods: statistical | es_ES |
| dc.subject.other | Techniques: image processing | es_ES |
| dc.subject.other | Cosmic background radiation | es_ES |
| dc.subject.other | Diffuse radiation | es_ES |
| dc.title | Joint Bayesian separation and restoration of cosmic microwave background from convolutional mixtures | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.relation.publisherVersion | https://doi.org/10.1111/j.1365-2966.2011.18783.x | es_ES |
| dc.rights.accessRights | openAccess | es_ES |
| dc.identifier.DOI | 10.1111/j.1365-2966.2011.18783.x | |
| dc.type.version | publishedVersion | es_ES |
