scispace - formally typeset
S

Simon Prunet

Researcher at Institut d'Astrophysique de Paris

Publications -  439
Citations -  102156

Simon Prunet is an academic researcher from Institut d'Astrophysique de Paris. The author has contributed to research in topics: Cosmic microwave background & Planck. The author has an hindex of 141, co-authored 434 publications receiving 96314 citations. Previous affiliations of Simon Prunet include University of Hawaii & University of Toronto.

Papers
More filters
Journal Article

Moving gravitational lenses: Imprints on the CMB

TL;DR: In this article, the authors investigated the contribution of secondary anisotropies induced by the transverse motions of clusters of galaxies to the CMB and derived the average contributions for three cosmological models.
Posted Content

Overview of Complementarity and Synergy with Other Wavelengths in Cosmology in the SKA era

TL;DR: In this paper, the authors give an overview of complementarity and synergy in cosmology between the Square Kilometre Array and future survey projects in other wavelengths, which can be very powerful to probe major cosmological problems such as dark energy, modified gravity and primordial nonGaussianity.
Journal ArticleDOI

Maps of the millimetre sky from the BOOMERanG Experiment

Abstract: In the 1998-99 flight, BOOMERanG has produced maps of ˜ 4 % of the sky at high Galactic latitudes, at frequencies of 90, 150, 240 and 410 GHz, with resolution ≳ 10'. The faint structure of the Cosmic Microwave Background at horizon and sub-horizon scales is evident in these maps. These maps compare well to the maps recently obtained at lower frequencies by the WMAP experiment. Here we compare the amplitude and morphology of the structures observed in the two sets of maps. We also outline the polarization sensitive version of BOOMERanG, which was flown early this year to measure the linear polarization of the microwave sky at 150, 240 and 350 GHz.
Journal ArticleDOI

MAPCUMBA : a fast iterative multi-grid map-making algorithm for CMB experiments

TL;DR: In this article, an iterative multi-grid Jacobi algorithm is proposed to solve the optimal map making problem for next generation CMB experiments like ARCHEOPS and TopHat, and can probably be extended relatively easily to the full PLANCK case.