6k citations · 13.1k across the 109 of their papers we have counts for
9 papers · 1 filter
Compressed convolution
F. Elsner, B. D. Wandelt
We introduce the concept of compressed convolution, a technique to convolve a given data set with a large number of non-orthogonal kernels. In typical applications our technique dr…
Searching for Oscillations in the Primordial Power Spectrum: Constraints from Planck (Paper II)
P. Daniel Meerburg, David N. Spergel, Benjamin D. Wandelt
We apply our recently developed code to search for resonance features in the Planck CMB temperature data. We search both for log spaced oscillations or linear spaced oscillations a…
Searching for Oscillations in the Primordial Power Spectrum: Perturbative Approach (Paper I)
P. Daniel Meerburg, David N. Spergel, Benjamin D. Wandelt
In this first of two papers, we present a new method for searching for oscillatory features in the primordial power spectrum. A wide variety of models predict these features in one…
Real-space density profile reconstruction of stacked voids
Alice Pisani, Guilhem Lavaux, Paul M. Sutter +1
We present a non-parametric, model-independent method to reconstruct the spherical density profiles of void stacks in real space, without redshift-space distortions. Our method use…
Insights into the content and spatial distribution of dust from the integrated spectral properties of galaxies
Jacopo Chevallard, Stephane Charlot, Benjamin Wandelt +1
[Abridged] We present a new approach to investigate the content and spatial distribution of dust in structurally unresolved star-forming galaxies from the observed dependence of in…
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…