Alice Pisani

A measurement of the Alcock–Paczyński effect using cosmic voids in the SDSS

We perform an Alcock-Paczynski test using stacked cosmic voids identified in the SDSS Data Release 7 main sample and Data Release 10 LOWZ and CMASS samples. We find ~1,500 voids out to redshift

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

0.6

Counting voids to probe dark energy

using a heavily modified and extended version of the watershed algorithm ZOBOV, which we call VIDE (Void IDentification and Examination). To assess the impact of peculiar velocities we use the mock void catalogs presented in Sutter et al. (2013). We find a constant uniform flattening of 14% along the line of sight when peculiar velocities are included. This flattening appears universal for all void sizes at all redshifts and for all tracer densities. We also use these mocks to identify an optimal stacking strategy. After correcting for systematic effects we find that our Alcock-Paczynski measurement leads to a preference of our best-fit value of

Power law cosmology model comparison with CMB scale information

\Omega_{\rm M}\sim 0.15

Multipole analysis of redshift-space distortions around cosmic voids

over

Answers from the Void: VIDE and its Applications

\Omega_{\rm M} = 1.0

VIDE: The Void IDentification and Examination toolkit

by a likelihood ratio of 10. Likewise, we find a factor of

Constraints on cosmology and gravity from the dynamics of voids

4.5

Mastering the effects of peculiar velocities in cosmic voids

preference of the likelihood ratio for a

WFIRST Science Investigation Team "Cosmology with the High Latitude Survey" Annual Report 2017

\Lambda