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
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Journal ArticleDOI
Cosmological Parameters from Cosmic Background Imager Observations and Comparisons with BOOMERANG, DASI, and MAXIMA
Jon Sievers,J. R. Bond,J. K. Cartwright,Carlo R. Contaldi,Brian Mason,Steven T. Myers,Stephen Padin,T. J. Pearson,Ue-Li Pen,Dmitry Pogosyan,Simon Prunet,Anthony C. S. Readhead,Martin C. Shepherd,Patricia Udomprasert,Leonardo Bronfman,W. L. Holzapfel,Jorge May +16 more
TL;DR: In this article, the cosmological parameters derived from observations with the Cosmic Background Imager (CBI), covering 40 square degrees and the multipole range 300 < l < 3500, were reported.
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Cosmic microwave background polarization data and galactic foregrounds: estimation of cosmological parameters
TL;DR: In this paper, the authors estimate the accuracy with which various cosmological parameters can be determined from the cosmic microwave background (CMB) temperature and polarization data when various galactic unpolarized and polarized foregrounds are included and marginalized using the multi-frequency Wiener filtering technique.
Journal ArticleDOI
Extreme value statistics of smooth Gaussian random fields
TL;DR: In this article, the authors considered the Gumbel or extreme value statistics describing the distribution function pG(νmax) of the maximum values of a random field within patches of fixed size and showed that when the patch size becomes sufficiently large, the negative of the logarithm of the cumulative extreme value distribution is simply equal to the average of the Euler characteristic of the field in the excursion ν ≥ νmax inside the patches.
Journal ArticleDOI
The dusty, albeit ultraviolet bright infancy of galaxies
Julien Devriendt,C. D. Rimes,Christophe Pichon,Christophe Pichon,Romain Teyssier,D. Le Borgne,Dominique Aubert,Edouard Audit,Stephane Colombi,Stephanie Courty,Yohan Dubois,Simon Prunet,Y. Rasera,Adrianne Slyz,D. Tweed +14 more
TL;DR: In this paper, a hydrodynamical simulation of galaxy formation is used to compute the number of high redshift objects as a function of luminosity, and yields galaxies whose UV luminosities closely match those measured in the deepest observational surveys available.
Posted Content
CosmoPMC: Cosmology Population Monte Carlo
Martin Kilbinger,Karim Benabed,Olivier Cappé,Jean-François Cardoso,Jean Coupon,Gersende Fort,H. J. McCracken,Simon Prunet,Christian P. Robert,Darren Wraith +9 more
TL;DR: The Bayesian sampling algorithm for cosmology, CosmoPMC (Cosmology Population Monte Carlo), is presented, which explores the parameter space of various cosmological probes, and also provides a robust estimate of the Bayesian evidence.