Big3
September 19-21, 2012
Laboratoire Astroparticule et Cosmologie, 10 rue A. Domon et L. Duquet, 75205 Paris 13, France
published December 24, 2013
Laboratoire Astroparticule et Cosmologie, 10 rue A. Domon et L. Duquet, 75205 Paris 13, France
published December 24, 2013
Conference website: http://www.apc.univ-paris7.fr/APC/Conferences/Workshop_Big3/Home.html
Observations of the Cosmic Microwave Background (CMB) radiation have transformed modern cosmology propelling it into high-precision, data-driven science it is today. CMB data analysis has been a cornerstone of this transformation and it continues in this role preparing currently to meet its possibly ultimate challenge as posed by ever-growing in size and complexity forthcoming data sets required by new science goals posed for the field. These include providing key pieces of information about the very early Universe: Gaussianity of the initial conditions, the presence of the primordial gravity waves, as well as constraints on the large-scale structure formation and possibly properties of dark energy. The sophistication of the involved data models is matched by precision levels, which have to be attained to deliver robust detections and result in firm conclusions. The overall challenge is indeed breathtaking and, without a doubt, the success will be only possible if the data analysis effort becomes truly interdisciplinary and capitalizes on the latest advances in statistics, applied mathematics, and computer science - all of which constitute veritable foundations of the contemporary data analysis work.
| Sessions |
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| Keynotes |
| Invited |
| Contributed |
| Keynotes |
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statistical methods
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future of the supercomputing
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Cosmic Microwave Background
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| Invited |
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From mean Euler characteristics to the Gaussian kinematic formula
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Shrinking the quadratic estimator
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Compressed sensing in astrophysics and beyond
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High level programming languages and hybrid programming in the context of high performance scientific applications
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Secondary CMB anisotropies and their simulations
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Component separation techniques for CMB maps
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CMB power spectrum estimation techniques
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sampling algorithms, Markov and non-Markov chains
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Making maps for CMB experiments
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needlets/wavelets nonGaussianity estimators
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Hunting for relics from the early universe in the CMB
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Discrete Aspects of High-Performance Iterative Linear Solvers
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non-Gaussianity tests
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on recent developments in numerical linear algebra
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| Contributed |
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Sparse component separation for accurate CMB map estimation
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CMB lensing reconstruction in the presence of diffuse polarized foregrounds
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A robust constraint on cosmic textures from the cosmic microwave background
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Deriving bounds for trispectrum estimators for Planck
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Power spectrum estimation on the sphere using wavelets
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Nets and nests: accelerated Bayesian inference in astrophysics
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Restoration of a whole-sky CMB map
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Searching for the Unexpected
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Simple foreground cleaning algorithm for detecting primordial B-mode polarization of the cosmic microwave background
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Spherical wavelet-Bayesian cosmic string tension estimation
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Methodology and lessons from the QUIET Maximum Likelihood map-maker
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True CMB Power Spectrum Estimation
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Removal of two large scale Cosmic Microwave Background anomalies after subtraction of the Integrated Sachs Wolfe effect
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Reconstruction of high-resolution SZ maps from heterogeneous datasets using needlets
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Primordial non-Gaussianity and diffuse Galactic emissions
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Detection of Point Sources Using Internal Templates and Needlets
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Avoiding Communication in Generalized Least Square Problems
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Accelerating convolutions on the sphere with hybid GPU/CPU kernel splitting
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Component Separation for Full-Sky Cosmic Microwave Background Recovery using Sparsity
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Accelerating maximum likelihood Cosmic Microwave Background map-making
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