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In this work, we present a study of the void lensing signal or the excess surface mass density (ESMD) around cosmic voids. First, we propose a new void-finder algorithm that is designed to capture the ESMD around voids. We compare our…

Cosmology and Nongalactic Astrophysics · Physics 2023-11-27 Renan Boschetti , Pauline Vielzeuf , Marie-Claude Cousinou , Stephanie Escoffier , Eric Jullo

Cosmic voids are an important probe of large-scale structure that can constrain cosmological parameters and test cosmological models. We present a new paradigm for void studies: void detection in weak lensing convergence maps. This approach…

Cosmology and Nongalactic Astrophysics · Physics 2018-08-08 Christopher T. Davies , Marius Cautun , Baojiu Li

The properties of large underdensities in the distribution of galaxies in the Universe, known as cosmic voids, are potentially sensitive probes of fundamental physics. We use data from the MultiDark suite of N-body simulations and multiple…

Cosmology and Nongalactic Astrophysics · Physics 2017-03-24 Seshadri Nadathur , Shaun Hotchkiss , Robert Crittenden

We present the results of weak gravitational lensing statistics in four different cosmological $N$-body simulations. The data has been generated using an algorithm for the three-dimensional shear, which makes use of a variable softening…

Astrophysics · Physics 2009-10-31 Andrew J. Barber , Peter A. Thomas , H. M. P. Couchman , C. J. Fluke

We present a new void search algorithm for automated detection of voids in three-dimensional redshift surveys. Based on a model in which the main features of the LSS of the Universe are voids and walls, we classify the galaxies into wall…

Astrophysics · Physics 2009-10-28 Hagai El-Ad , Tsvi Piran , Luiz Nicolaci da Costa

We measure the distribution of matter contained within the emptiest regions of the Universe: cosmic voids. We use the large overlap between the Ultraviolet Near-Infrared Optical Northern Survey (UNIONS) and voids identified in the LOWZ and…

The sizes and shapes of voids in a galaxy survey depend not only on the physics of structure formation, but also on the sampling density of the survey and on the algorithm used to define voids. Using an N-body simulation with a CDM power…

Astrophysics · Physics 2009-10-31 Jason D. Schmidt , Barbara S. Ryden , Adrian L. Melott

Cosmic voids are a key component of the large-scale structure that contain a plethora of cosmological information. Typically, voids are identified from the underlying galaxy distribution, which is a biased tracer of the total matter field.…

Cosmology and Nongalactic Astrophysics · Physics 2020-11-04 Christopher T. Davies , Enrique Paillas , Marius Cautun , Baojiu Li

The statistical study of voids in the matter distribution promises to be an important tool for precision cosmology, but there are known discrepancies between theoretical models of voids and the voids actually found in large simulations or…

Cosmology and Nongalactic Astrophysics · Physics 2016-01-19 Seshadri Nadathur , Shaun Hotchkiss

On megaparsec scales the Universe is permeated by an intricate filigree of clusters, filaments, sheets and voids, the Cosmic Web. For the understanding of its dynamical and hierarchical history it is crucial to identify objectively its…

Astrophysics · Physics 2010-01-07 Erwin Platen , Rien van de Weygaert , Bernard J. T. Jones

Understanding the internal structure and spatial distribution of cosmic voids is crucial when considering them as probes of cosmology. We present recent advances in modeling void density- and velocity-profiles in real space, as well as void…

Cosmology and Nongalactic Astrophysics · Physics 2014-09-29 Nico Hamaus , P. M. Sutter , Benjamin D. Wandelt

Gravitational lensing can provide pure geometric tests of the structure of space-time, for instance by determining empirically the angular diameter distance-redshift relation. This geometric test has been demonstrated several times using…

The upcoming new generation of spectroscopic galaxy redshift surveys will provide large samples of cosmic voids, the distinct, large underdense structures in the universe. Combining these with future galaxy imaging surveys, we study the…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 Elisabeth Krause , Tzu-Ching Chang , Olivier Doré , Keiichi Umetsu

Cosmic voids offer a unique opportunity to explore modified gravity (MG) models. Their low-density nature and vast extent make them especially sensitive to cosmological scenarios of the class $f(R)$, which incorporate screening mechanisms…

Cosmology and Nongalactic Astrophysics · Physics 2025-11-12 Leonardo Maggiore , Sofia Contarini , Carlo Giocoli , Lauro Moscardini

Modifications to General Relativity (GR) often incorporate screening mechanisms in order to remain compatible with existing tests of gravity. The screening is less efficient in underdense regions, which suggests that cosmic voids can be a…

Cosmology and Nongalactic Astrophysics · Physics 2019-11-06 Christopher T. Davies , Marius Cautun , Baojiu Li

Voids are the most prominent feature of the LSS of the universe. Still, they have been generally ignored in quantitative analysis of it, essentially due to the lack of an objective tool to identify and quantify the voids. To overcome this,…

Astrophysics · Physics 2008-11-26 Hagai El-Ad , Tsvi Piran

An essential aspect of cosmic voids is that these underdense regions provide complementary information about the properties of our Universe. Unlike dense regions, voids are avoided by matter and are less contaminated by baryonic processes.…

Cosmology and Nongalactic Astrophysics · Physics 2022-09-16 Md Rasel Hossen , Sonia Akter Ema , Krzysztof Bolejko , Geraint F. Lewis

We present the most distant detection of cosmic voids ($z \sim 2.3$) and the first detection of three-dimensional voids in the Lyman-$\alpha$ forest. We used a 3D tomographic map of the absorption with effective comoving spatial resolution…

3D Gaussian splatting (3DGS) has demonstrated impressive performance in synthesizing high-fidelity novel views. Nonetheless, its effectiveness critically depends on the quality of the initialized point cloud. Specifically, achieving uniform…

Computer Vision and Pattern Recognition · Computer Science 2025-10-13 Yikang Zhang , Rui Fan
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