577 citations · 936 across the 16 of their papers we have counts for
14 papers · 1 filter
Euclid preparation: VI. Verifying the Performance of Cosmic Shear Experiments
Euclid Collaboration, P. Paykari, T. D. Kitching +128
Our aim is to quantify the impact of systematic effects on the inference of cosmological parameters from cosmic shear. We present an end-to-end approach that introduces sources of…
Propagating Residual Biases in Cosmic Shear Power Spectra
T. D. Kitching, P. Paykari, H. Hoekstra +1
In this paper we derive a full expression for the propagation of multiplicative and additive shape measurement biases into the cosmic shear power spectrum. In doing so we identify…
PRISM: Recovery of the primordial spectrum from Planck data
F. Lanusse, P. Paykari, J. -L. Starck +3
The primordial power spectrum describes the initial perturbations that seeded the large-scale structure we observe today. It provides an indirect probe of inflation or other struct…
PRISM: Sparse recovery of the primordial spectrum from WMAP9 and Planck datasets
P. Paykari, F. Lanusse, J. -L. Starck +2
The primordial power spectrum is an indirect probe of inflation or other structure-formation mechanisms. We introduce a new method, named \textbf{PRISM}, to estimate this spectrum…
Planck CMB Anomalies: Astrophysical and Cosmological Secondary Effects and the Curse of Masking
A. Rassat, J. -L. Starck, P. Paykari +2
Large-scale anomalies have been reported in CMB data with both WMAP and Planck data. These could be due to foreground residuals and or systematic effects, though their confirmation…
PRISM: Sparse Recovery of the Primordial Power Spectrum
P. Paykari, F. Lanusse, J. -L. Starck +2
The primordial power spectrum describes the initial perturbations in the Universe which eventually grew into the large-scale structure we observe today, and thereby provides an ind…
Joint Planck and WMAP CMB Map Reconstruction
J. Bobin, F. Sureau, J. -L. Starck +2
We present a novel estimate of the cosmological microwave background (CMB) map by combining the two latest full-sky microwave surveys: WMAP nine-year and Planck PR1. The joint proc…
Sparsely Sampling the Sky: Regular vs Random Sampling
P. Paykari, S. Pires, J. -L. Starck +1
The next generation of galaxy surveys, aiming to observe millions of galaxies, are expensive both in time and cost. This raises questions regarding the optimal investment of this t…
Planck 2013 results. XV. CMB power spectra and likelihood
Planck collaboration, P. A. R. Ade, N. Aghanim +257
We present the Planck likelihood, a complete statistical description of the two-point correlation function of the CMB temperature fluctuations. We use this likelihood to derive the…
WMAP 9-year CMB estimation using sparsity
J. Bobin, F. Sureau, P. Paykari +3
Recovering the Cosmic Microwave Background (CMB) from WMAP data requires galactic foreground emissions to be accurately separated out. Most component separation techniques rely on…
Sparsely Sampling the Sky: A Bayesian Experimental Design Approach
P. Paykari, A. H. Jaffe
The next generation of galaxy surveys will observe millions of galaxies over large volumes of the universe. These surveys are expensive both in time and cost, raising questions reg…
True CMB Power Spectrum Estimation
P. Paykari, J. L. Starck, M. J. Fadili
The cosmic microwave background (CMB) power spectrum is a powerful cosmological probe as it entails almost all the statistical information of the CMB perturbations. Having access t…
Reconstruction of the Primordial Power Spectrum by Direct Inversion
Gavin Nicholson, Carlo R. Contaldi, Paniez Paykari
We introduce a new method for reconstructing the primordial power spectrum, , directly from observations of the Cosmic Microwave Background (CMB). We employ Singular Value De…
Optimal Binning of the Primordial Power Spectrum
Paniez Paykari, Andrew H. Jaffe
The primordial power spectrum describes the initial perturbations in the Universe which eventually grew into the large-scale structure we observe today, and thereby provides an ind…