Euclid: Cosmological forecasts from the void size function
S. Contarini, G. Verza, A. Pisani, N. Hamaus, M. Sahl\'en, C. Carbone,, S. Dusini, F. Marulli, L. Moscardini, A. Renzi, C. Sirignano, L. Stanco, M., Aubert, M. Bonici, G. Castignani, H.M. Courtois, S. Escoffier, D. Guinet, A., Kovacs, G. Lavaux, E. Massara, S. Nadathur

TL;DR
This paper demonstrates that the Euclid survey's void size function can significantly constrain dark energy properties, achieving errors below 10% on the equation of state parameter and providing a promising tool for cosmological studies.
Contribution
It introduces a novel application of the void size function from Euclid mock data to forecast dark energy constraints, using an advanced volume conserving model.
Findings
Forecasts less than 10% error on dark energy equation of state parameter w
Provides a figure of merit of 17 for dynamic dark energy models
Validates the void size function as a powerful cosmological probe
Abstract
The Euclid mission with its spectroscopic galaxy survey covering a sky area over in the redshift range will provide a sample of tens of thousands of cosmic voids. This paper explores for the first time the constraining power of the void size function on the properties of dark energy (DE) from a survey mock catalogue, the official Euclid Flagship simulation. We identify voids in the Flagship light-cone, which closely matches the features of the upcoming Euclid spectroscopic data set. We model the void size function considering a state-of-the art methodology: we rely on the volume conserving (Vdn) model, a modification of the popular Sheth & van de Weygaert model for void number counts, extended by means of a linear function of the large-scale galaxy bias. We find an excellent agreement between model predictions and measured mock void number…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Geophysics and Gravity Measurements
