Cosmic voids are effective cosmological probes to discriminate among competing world models. Their identification is generally based on density or geometry criteria that, because of their very nature, are prone to shot noise. We propose two void finders that are based on dynamical criterion to select voids in Lagrangian coordinates and minimize the impact of sparse sampling. The first approach exploits the Zel'dovich approximation to trace back in time the orbits of galaxies located in voids and their surroundings; the second uses the observed galaxy-galaxy correlation function to relax the objects' spatial distribution to homogeneity and isotropy. In both cases voids are defined as regions of the negative velocity divergence, which can be ...
Cosmic voids are a promising environment to characterize neutrino-induced effects on the large-scale...
We compare analytical predictions of void volume functions to those measured from N-body simulations...
The Standard Cosmological Model is generally accepted by the scientific community, there are still ...
Cosmic voids are effective cosmological probes to discriminate among competing world models. Their ...
Cosmic voids are large underdense regions that, together with galaxy clusters, filaments and walls, ...
Cosmic voids occupy most of the volume of the Universe, and their statistical properties can be expl...
Cosmic voids are vast and underdense regions emerging between the elements of the cosmic web and dom...
Cosmic voids are large underdense regions of the Universe that, together with galaxy clusters, filam...
Cosmic voids, the less dense patches of the Universe, are promising laboratories to extract cosmolog...
We propose a new definition of cosmic voids based on methods of Lagrangian orbit reconstruction as ...
A stately fraction of the Universe volume is dominated by almost empty space. Alongside the luminous...
We explore voids in dark matter and halo fields from simulations of Λ cold dark matter and Hu–Sawick...
Cosmic voids defined as a subset of Delaunay Triangulation (DT) circumspheres have been used to meas...
We describe an algorithm to detect voids in galaxy redshift surveys. The method is based on the void...
What do we know about voids in the dark matter distribution given the Sloan Digital Sky Survey (SDSS...
Cosmic voids are a promising environment to characterize neutrino-induced effects on the large-scale...
We compare analytical predictions of void volume functions to those measured from N-body simulations...
The Standard Cosmological Model is generally accepted by the scientific community, there are still ...
Cosmic voids are effective cosmological probes to discriminate among competing world models. Their ...
Cosmic voids are large underdense regions that, together with galaxy clusters, filaments and walls, ...
Cosmic voids occupy most of the volume of the Universe, and their statistical properties can be expl...
Cosmic voids are vast and underdense regions emerging between the elements of the cosmic web and dom...
Cosmic voids are large underdense regions of the Universe that, together with galaxy clusters, filam...
Cosmic voids, the less dense patches of the Universe, are promising laboratories to extract cosmolog...
We propose a new definition of cosmic voids based on methods of Lagrangian orbit reconstruction as ...
A stately fraction of the Universe volume is dominated by almost empty space. Alongside the luminous...
We explore voids in dark matter and halo fields from simulations of Λ cold dark matter and Hu–Sawick...
Cosmic voids defined as a subset of Delaunay Triangulation (DT) circumspheres have been used to meas...
We describe an algorithm to detect voids in galaxy redshift surveys. The method is based on the void...
What do we know about voids in the dark matter distribution given the Sloan Digital Sky Survey (SDSS...
Cosmic voids are a promising environment to characterize neutrino-induced effects on the large-scale...
We compare analytical predictions of void volume functions to those measured from N-body simulations...
The Standard Cosmological Model is generally accepted by the scientific community, there are still ...