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EBookClubs

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Book The Blind Bayesian Approach to Cosmic Microwave Background Data Analysis

Download or read book The Blind Bayesian Approach to Cosmic Microwave Background Data Analysis written by Flavien Vansyngel and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main topic of this thesis is the analysis of Cosmic Microwave Background (CMB) data. In particular, I present a method, Bayesian Independent component analysis (BICA), that performs both CMB component separation and CMB power spectrum inference.I begin by presenting the basics of our understanding of the CMB emission and highlight the need for a robust error modelling at the map level. Then I present the main source of errors in the CMB products, namely the foregrounds.Component separation is a crucial and delicate step in CMB data analysis. I review several methods aiming at cleaning the CMB from foregroundsThen I present BICA. The method is formulated in a blind Bayesian framework. The posterior distribution provides an inference of the CMB map and power spectrum from the observation maps. Thus, the errors on the reconstruction include the uncertainties due the presence of foregrounds in the data. By considering particular choices of prior and sampling scheme, I show how the Bayesian formulation of component separation provide a unifying framework of which previous methods are special cases.I present the results of BICA when applied on both simulated data and 2013 Planck data. This method is able to reconstruct the CMB map and power spectrum on a large fraction of the sky. The main contributions of this thesis is to provide: 1) a CMB power spectrum on a large multipole range whose errors take the presence of foregrounds into account but without assuming physical models, 2) a CMB map inference together with an error model including both noise and foregrounds residuals.

Book Bayesian Methods in Cosmology

Download or read book Bayesian Methods in Cosmology written by Michael P. Hobson and published by Cambridge University Press. This book was released on 2010 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive introduction to Bayesian methods in cosmological studies, for graduate students and researchers in cosmology, astrophysics and applied statistics.

Book Statistical Analysis of Cosmic Microwave Background Anisotropy

Download or read book Statistical Analysis of Cosmic Microwave Background Anisotropy written by Emory Freeman Bunn and published by . This book was released on 1995 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Data Analysis of Cosmic Microwave Background Experiments

Download or read book Data Analysis of Cosmic Microwave Background Experiments written by Matthew Edmund Abroe and published by . This book was released on 2004 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Non linear Data Analysis on the Sphere

Download or read book Non linear Data Analysis on the Sphere written by Gregor Rossmanith and published by Springer Science & Business Media. This book was released on 2013-04-23 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work deals with the search for signatures of non-Gaussianities in the cosmic microwave background (CMB). Probing Gaussianity in the CMB addresses one of the key questions in modern cosmology because it allows us to discriminate between different models of inflation, and thus concerns a fundamental part of the standard cosmological model. The basic goal here is to adapt complementary methods stemming from the field of complexity science to CMB data analysis. Two key concepts, namely the method of surrogates and estimators for local scaling properties, are applied to CMB data analysis. All results show strong non-Gaussianities and pronounced asymmetries. The consistency of the full sky and cut sky results shows convincingly for the first time that the influence of the Galactic plane is not responsible for these deviations from Gaussianity and isotropy. The findings seriously call into question predictions of isotropic cosmologies based on the widely accepted single field slow roll inflation model.

Book Astronomical Image and Data Analysis

Download or read book Astronomical Image and Data Analysis written by J.-L. Starck and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using information and scale as central themes, this comprehensive survey explains how to handle real problems in astronomical data analysis through a modern arsenal of powerful techniques. The coverage includes chapters or appendices on: detection and filtering; image compression; multichannel, multiscale, and catalog data analytical methods; wavelets transforms, Picard iteration, and software tools.

Book Data Analysis of the Cosmic Microwave Background

Download or read book Data Analysis of the Cosmic Microwave Background written by Frode Kristian Hansen and published by . This book was released on 2002 with total page 203 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing

Download or read book Regularization and Bayesian Methods for Inverse Problems in Signal and Image Processing written by Jean-Francois Giovannelli and published by John Wiley & Sons. This book was released on 2015-02-02 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The focus of this book is on "ill-posed inverse problems". These problems cannot be solved only on the basis of observed data. The building of solutions involves the recognition of other pieces of a priori information. These solutions are then specific to the pieces of information taken into account. Clarifying and taking these pieces of information into account is necessary for grasping the domain of validity and the field of application for the solutions built. For too long, the interest in these problems has remained very limited in the signal-image community. However, the community has since recognized that these matters are more interesting and they have become the subject of much greater enthusiasm. From the application field’s point of view, a significant part of the book is devoted to conventional subjects in the field of inversion: biological and medical imaging, astronomy, non-destructive evaluation, processing of video sequences, target tracking, sensor networks and digital communications. The variety of chapters is also clear, when we examine the acquisition modalities at stake: conventional modalities, such as tomography and NMR, visible or infrared optical imaging, or more recent modalities such as atomic force imaging and polarized light imaging.

Book Image Analysis

    Book Details:
  • Author : Arnt-Borre Salberg
  • Publisher : Springer Science & Business Media
  • Release : 2009-07-14
  • ISBN : 3642022308
  • Pages : 797 pages

Download or read book Image Analysis written by Arnt-Borre Salberg and published by Springer Science & Business Media. This book was released on 2009-07-14 with total page 797 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains the papers presented at the Scandinavian Conference on Image Analysis, SCIA 2009, which was held at the Radisson SAS Scandinavian Hotel, Oslo, Norway, June 15–18. SCIA 2009 was the 16th in the biennial series of conferences, which has been organized in turn by the Scandinavian countries Sweden, Finland, D- mark and Norway since 1980. The event itself has always attracted participants and author contributions from outside the Scandinavian countries, making it an international conference. Theconferenceincludedafulldayoftutorialsand?vekeynotetalksprovided by world-renowned experts. The program covered high-quality scienti?c cont- butions within image analysis, human and action analysis, pattern and object recognition,colorimagingandquality,medicalandbiomedicalapplications,face andheadanalysis,computer vision,andmultispectralcoloranalysis. The papers werecarefully selected based on at least two reviews. Among 154 submissions 79 wereaccepted,leadingtoanacceptancerateof51%. SinceSCIAwasarrangedas a single-track event, 30 papers were presented in the oral sessions and 49 papers were presented in the poster sessions. A separate session on multispectral color science was organized in cooperation with the 11th Symposium of Multispectral Color Science (MCS 2009). Since 2009 was proclaimed the “International Year of Astronomy” by the United Nations General Assembly, the conference also contained a session on the topic “Imageand PatternAnalysis in Astronomyand Astrophysics. ” SCIA has a reputation of having a friendly environment, in addition to hi- quality scienti?c contributions. We focused on maintaining this reputation, by designing a technical and social program that we hope the participants found interesting and inspiring for new research ideas and network extensions. We thank the authors for submitting their valuable work to SCIA.

Book Improved Analysis Methods for Cosmic Microwave Background Data

Download or read book Improved Analysis Methods for Cosmic Microwave Background Data written by Pia Mukherjee and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Data Analysis of and Results from Observations of the Cosmic Microwave Background with the Cosmic Background Imager

Download or read book Data Analysis of and Results from Observations of the Cosmic Microwave Background with the Cosmic Background Imager written by Jonathan LeRoy Sievers and published by . This book was released on 2004 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Machine Learning and Data Mining for Astronomy

Download or read book Advances in Machine Learning and Data Mining for Astronomy written by Michael J. Way and published by CRC Press. This book was released on 2012-03-29 with total page 744 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines

Book Science

    Book Details:
  • Author : Bertrand Zavidovique
  • Publisher : World Scientific
  • Release : 2012
  • ISBN : 9814383295
  • Pages : 328 pages

Download or read book Science written by Bertrand Zavidovique and published by World Scientific. This book was released on 2012 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept is fundamental in statistics and tailors to the emergence of collective behaviours. Communication then asks for uncertainty considerations - noise, indeterminacy or approximation - and its wider impact on the couple perception-action. Clustering being all about uncertainty handling, data set representation appears not to be the only solution: Introducing hierarchies with adapted metrics, a priori pre-improving the data resolution are other methods in need of evaluation. The technology together with increasing semantics enables to involve synthetic data as simulation results for the multiplication of sources. Part B plays with another couple important for complex systems: state vs. transition. State-first descriptions would characterize physics, while transition-first would fit biology. That could stem from life producing dynamical systems in essence.

Book Data Analysis for High sensitivity Cosmic Microwave Background Observations

Download or read book Data Analysis for High sensitivity Cosmic Microwave Background Observations written by Mark Mirmelstein and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Dechiphering Precision Cosmic Microwave Background Data

Download or read book Dechiphering Precision Cosmic Microwave Background Data written by Marius Millea and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis centers around work which was performed in the lead up to and during analysis of high resolution cosmic microwave background (CMB) data coming from the South Pole Telescope and from the Planck satellite. Analysis of such data necessitates modeling of extra-galactic foregrounds, and here we develop a model for these foregrounds for use with current data. This model is shown to be both necessary and sufficient for unbiased estimation of cosmological parameters. Additionally, we develop a novel method for using auxiliary data in the form of galaxy number counts to put priors on certain components of this model. Finally, we perform an analysis of CMB data, taking into account these extra-galactic foregrounds, to calculate new constraints on hypothetical particles like axions or axion-like particles. We find new data from Planck and from measurements of primordial deuterium newly rule out some theoretically interesting regions of parameter space. In addition, we show that in a more speculative scenario which includes the presence of both axions and other dark radiation, some of these regions are again allowed and could explain hints of high primordial helium fraction, or could allow one or two thermalized sterile neutrinos to exist.

Book Statistical Analysis of the Cosmic Microwave Background

Download or read book Statistical Analysis of the Cosmic Microwave Background written by Ian J. O'Dwyer and published by . This book was released on 2005 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Data Analysis in Cosmology

Download or read book Data Analysis in Cosmology written by Vicent J. Martinez and published by Springer. This book was released on 2009-07-09 with total page 636 pages. Available in PDF, EPUB and Kindle. Book excerpt: The amount of cosmological data has dramatically increased in the past decades due to an unprecedented development of telescopes, detectors and satellites. Efficiently handling and analysing new data of the order of terabytes per day requires not only computer power to be processed but also the development of sophisticated algorithms and pipelines. Aiming at students and researchers the lecture notes in this volume explain in pedagogical manner the best techniques used to extract information from cosmological data, as well as reliable methods that should help us improve our view of the universe.