Euclid: Cosmology forecasts from the void-galaxy cross-correlation function with reconstruction
S. Radinovi\'c, S. Nadathur, H.-A. Winther, W. J. Percival, A., Woodfinden, E. Massara, E. Paillas, S. Contarini, N. Hamaus, A. Kovacs, A., Pisani, G. Verza, M. Aubert, A. Amara, N. Auricchio, M. Baldi, D. Bonino, E., Branchini, M. Brescia, S. Camera, V. Capobianco, C. Carbone

TL;DR
This paper demonstrates that Euclid's galaxy-void cross-correlation measurements, especially with reconstruction, can tightly constrain cosmological parameters like distance ratios, growth rate, and dark energy properties with high precision.
Contribution
It introduces a method using velocity field reconstruction to improve cosmological constraints from void-galaxy cross-correlations in Euclid data, achieving unprecedented precision.
Findings
Constrains distance ratio D_M/D_H to 0.3%
Measures growth rate fσ_8 with 5-8% precision
Determines dark energy equation of state to 6%
Abstract
We investigate the cosmological constraints that can be expected from measurement of the cross-correlation of galaxies with cosmic voids identified in the Euclid spectroscopic survey, which will include spectroscopic information for tens of millions of galaxies over deg of the sky in the redshift range . We do this using simulated measurements obtained from the Flagship mock catalogue, the official Euclid mock that closely matches the expected properties of the spectroscopic data set. To mitigate anisotropic selection-bias effects, we use a velocity field reconstruction method to remove large-scale redshift-space distortions from the galaxy field before void-finding. This allows us to accurately model contributions to the observed anisotropy of the cross-correlation function arising from galaxy velocities around voids as well as from the Alcock-Paczynski…
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