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Eric Hivon

Researcher at Institut d'Astrophysique de Paris

Publications -  14
Citations -  843

Eric Hivon is an academic researcher from Institut d'Astrophysique de Paris. The author has contributed to research in topics: Cosmic microwave background & Polarization (waves). The author has an hindex of 9, co-authored 14 publications receiving 782 citations. Previous affiliations of Eric Hivon include California Institute of Technology.

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Journal ArticleDOI

Fast estimation of polarization power spectra using correlation functions

TL;DR: In this paper, a fast method for estimating the cosmic microwave background polarization power spectra using unbiased estimates of heuristically weighted correlation functions is presented. But it is only applicable to small-area observations.
Journal ArticleDOI

Characterization of the BICEP Telescope for High-precision Cosmic Microwave Background Polarimetry

TL;DR: In this paper, the authors describe the characterization of potential systematic errors for the BICEP experiment, supplementing a companion paper on the initial cosmological results, using the analysis pipelines for the experiment, have simulated the impact of systematic errors on the B-mode polarization measurement, and established benchmarks for the critical instrumental properties including bolometer relative gains, beam mismatch, polarization orientation, telescope pointing, sidelobes, thermal stability and timestream noise model.
Proceedings ArticleDOI

BICEP: a large angular-scale CMB polarimeter

TL;DR: In this article, the authors describe the design and expected performance of BICEP, a millimeter wave receiver designed to measure the polarization of the cosmic microwave background (CME).
Journal ArticleDOI

Gabor transforms on the sphere with applications to CMB power spectrum estimation

TL;DR: In this article, the authors extended the Gabor transform formalism to the sphere with the intention of applying it to cosmic microwave background (CMB) data analysis, where the pseudo power spectrum coefficients were assumed to be Gaussian distributed.