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François Levrier

Researcher at École Normale Supérieure

Publications -  238
Citations -  69458

François Levrier is an academic researcher from École Normale Supérieure. The author has contributed to research in topics: Planck & Cosmic microwave background. The author has an hindex of 89, co-authored 230 publications receiving 58842 citations. Previous affiliations of François Levrier include Centre national de la recherche scientifique & Max Planck Society.

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Statistical simulations of the dust foreground to cosmic microwave background polarization

TL;DR: In this article, the authors present a method to simulate maps of polarized dust emission on the sphere that is similar to the approach used for CMB anisotropies, which relates the dust polarization sky to the structure of the Galactic magnetic field and its coupling with interstellar matter and turbulence.
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Polarization measurements analysis II. Best estimators of polarization fraction and angle

TL;DR: In this article, the authors compare the performance of the traditional frequentist estimators of the polarization fraction and angle with two recent estimators: one inspired by a Bayesian analysis and a second following an asymptotic method, and evaluate the statistical bias on the angle that appears when the covariance matrix exhibits effective ellipticity.
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UV-driven chemistry in simulations of the interstellar medium I. Post-processed chemistry with the Meudon PDR code

TL;DR: In this paper, the authors applied photon-dominated region (PDR) codes to describe the UV-driven chemistry of uniform density cloud models, and found that the observed abundances of CO are not well reproduced.
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Polarization measurements analysis I. Impact of the full covariance matrix on polarization fraction and angle measurements

TL;DR: In this paper, a method for including the full covariance matrix of the Stokes parameters in estimates for the distributions of the polarization fraction and angle is presented, and the authors quantify the impact of the noise properties on the biases in the observational quantities.