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20062017
most citedPlanck 2015 results. XVII. Constraints on primordial non-Gaussianity

507 citations · 3.9k across the 52 of their papers we have counts for

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Showing 2013Show all

11 papers · 1 filter

astro-ph.CO2013★ 45 cited

The dark matter of galaxy voids

P. M. Sutter, Guilhem Lavaux, Benjamin D. Wandelt +2

How do observed voids relate to the underlying dark matter distribution? To examine the spatial distribution of dark matter contained within voids identified in galaxy surveys, we…

astro-ph.CO2013★ 9 cited

A response to arXiv:1310.2791: A self-consistent public catalogue of voids and superclusters in the SDSS Data Release 7 galaxy surveys

P. M. Sutter, Guilhem Lavaux, Benjamin D. Wandelt +1

Recently, Nadathur & Hotchkiss (2013) submitted a paper discussing a new cosmic void catalog. This paper includes claims about the void catalog described in Sutter et al. (2012). I…

astro-ph.CO2013★ 74 cited

Voids in the SDSS DR9: observations, simulations, and the impact of the survey mask

P. M. Sutter, Guilhem Lavaux, Benjamin D. Wandelt +3

We present and study cosmic voids identified using the watershed void finder VIDE in the Sloan Digital Sky Survey Data Release 9, compare these voids to ones identified in mock cat…

astro-ph.CO2013★ 102 cited

Sparse sampling, galaxy bias, and voids

P. M. Sutter, Guilhem Lavaux, Nico Hamaus +3

To study the impact of sparsity and galaxy bias on void statistics, we use a single large-volume, high-resolution N-body simulation to compare voids in multiple levels of subsample…

astro-ph.CO2013★ 119 cited

First measurement of gravitational lensing by cosmic voids in SDSS

Peter Melchior, P. M. Sutter, Erin S. Sheldon +2

We report the first measurement of the diminutive lensing signal arising from matter underdensities associated with cosmic voids. While undetectable individually, by stacking the w…

astro-ph.IM2013★ 29 cited

Probabilistic image reconstruction for radio interferometers

P. M. Sutter, Benjamin D. Wandelt, Jason D. McEwen +6

We present a novel, general-purpose method for deconvolving and denoising images from gridded radio interferometric visibilities using Bayesian inference based on a Gaussian proces…