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相关论文: A Cosmic Watershed: the WVF Void Detection Techniq…

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Voids are dominant features of the cosmic web. We revisit the cosmological information content of voids and connect void properties with the parameters of the background universe. We combine analytical results with a suite of large n-body…

宇宙学与河外天体物理 · 物理学 2025-03-24 Benjamin C. Bromley , Margaret J. Geller

Unsigned Distance Fields (UDFs) provide a flexible representation for 3D shapes with arbitrary topology, including open and closed surfaces, orientable and non-orientable geometries, and non-manifold structures. While recent neural…

计算机视觉与模式识别 · 计算机科学 2025-10-15 Jiayi Kong , Chen Zong , Junkai Deng , Xuhui Chen , Fei Hou , Shiqing Xin , Junhui Hou , Chen Qian , Ying He

We investigate the cosmological constraints from the void-lensing cross-correlation assuming the $w$CDM model for the Chinese Space Station Survey Telescope (CSST) photometric survey. Using Jiutian simulations, we construct a mock galaxy…

宇宙学与河外天体物理 · 物理学 2026-02-19 Qi Xiong , Yan Gong , Junhui Yan , Furen Deng , Hengjie Lin , Xingchen Zhou , Xuelei Chen , Qi Guo , Ming Li , Yun Liu , Wenxiang Pei

A new multi-dimensional Hierarchical Structure Finder (HSF) to study the phase-space structure of dark matter in N-body cosmological simulations is presented. The algorithm depends mainly on two parameters, which control the level of…

天体物理学 · 物理学 2015-05-13 M. Maciejewski , S. Colombi , V. Springel , C. Alard , F. R. Bouchet

Cosmic voids, the less dense patches of the Universe, are promising laboratories to extract cosmological information. Thanks to their unique low density character, voids are extremely sensitive to diffuse components such as neutrinos and…

Large Language Model (LLM) watermarking is crucial for establishing the provenance of machine-generated text, but most existing methods rely on a centralized trust model. This model forces users to reveal potentially sensitive text to a…

密码学与安全 · 计算机科学 2026-05-01 Xiaokun Luan , Yihao Zhang , Pengcheng Su , Feiran Lei , Meng Sun

The formalism of Wiener filtering is developed here for the purpose of reconstructing the large scale structure of the universe from noisy, sparse and incomplete data. The method is based on a linear minimum variance solution, given data…

天体物理学 · 物理学 2009-10-22 S. Zaroubi , Y. Hoffman , K. B. Fisher , O. Lahav

Voids possess a very complex internal structure and dynamics. Using $N$-body simulations we study the hierarchical nature of sub-structures present in the cosmic web (CW). We use the SpineWeb method which provides a complete…

The aim of this study is to distinguish genuine cosmic voids, found in a galaxy catalog by the void finder ZOBOV-VIDE, from under-dense regions in a Poisson distribution of objects. For this purpose, we perform two multivariate analyses…

宇宙学与河外天体物理 · 物理学 2019-03-14 M. -C Cousinou , A. Pisani , A. Tilquin , N. Hamaus , A. -J Hawken , S. Escoffier

Large sky surveys are increasingly relying on image subtraction pipelines for real-time (and archival) transient detection. In this process one has to contend with varying PSF, small brightness variations in many sources, as well as…

天体物理仪器与方法 · 物理学 2018-04-25 Nima Sedaghat , Ashish Mahabal

We present a model for the distribution of void sizes and its evolution in the context of hierarchical scenarios of gravitational structure formation. We find that at any cosmic epoch the voids have a size distribution which is well-peaked…

天体物理学 · 物理学 2008-11-26 Ravi K. Sheth , Rien van de Weygaert

Cosmic voids are becoming key players in testing the physics of our Universe. Here we concentrate on the abundances and the dynamics of voids as these are among the best candidates to provide information on cosmological parameters. Cai,…

宇宙学与河外天体物理 · 物理学 2014-10-31 Nelson Padilla , Dante Paz , Marcelo Lares , Laura Ceccarelli , Diego Garcia Lambas , Yan-Chuan Cai , Baojiu Li

The large scale galaxy and matter distribution is often described by means of the cosmic web made up of voids, sheets, filaments and knots. Many different recipes exist for identifying this cosmic web. Here we focus on a sub-class of cosmic…

宇宙学与河外天体物理 · 物理学 2022-06-08 Simon Pfeifer , Noam I. Libeskind , Yehuda Hoffman , Wojciech A. Hellwing , Maciej Bilicki , Krishna Naidoo

Cosmic voids are increasingly recognized as a promising tool for cosmological exploration. Their distribution and density profiles are highly responsive to alterations in gravitational theories, along with the influences of dark energy and…

广义相对论与量子宇宙学 · 物理学 2025-08-26 A. Errehymy , S. Hansraj

Cosmic voids are underdense regions within the large-scale structure of the Universe, spanning a wide range of physical scales - from a few megaparsecs (Mpc) to the largest observable structures. Their distinctive properties make them…

Cosmic voids, the largest underdense regions in the Universe, provide unique laboratories for studying galaxy formation and constitute powerful probes of cosmology. Recent work has shown that individual galaxy bias (b_i), which quantifies…

The Vainshtein mechanism, present in many models of gravity, is very effective at screening dark matter halos such that the fifth force is negligible and general relativity is recovered within their Vainshtein radii. Vainshtein screening is…

宇宙学与河外天体物理 · 物理学 2018-02-21 B. Falck , Kazuya Koyama , Gong-bo Zhao , M. Cautun

The cosmic web is the largest scale manifestation of the anisotropic gravitational collapse of matter. It represents the transitional stage between linear and non-linear structures and contains easily accessible information about the early…

宇宙学与河外天体物理 · 物理学 2014-06-02 Marius Cautun , Rien van de Weygaert , Bernard J. T. Jones , Carlos S. Frenk

The cosmic vorticity field, an essential tracer of nonlinear structure formation, has remained observationally inaccessible because transverse galaxy motions are difficult to measure and analytic models struggle to capture shell-crossing.…

宇宙学与河外天体物理 · 物理学 2026-04-17 Ziyong Wu , Xu Xiao , Fuyu Dong , Juhan Kim , Yan-Chuan Cai , Yang Wang , Xi Kang , Le Zhang , Xin Wang , Xiao-Dong Li

Finding meaningful distances between high-dimensional data samples is an important scientific task. To this end, we propose a new tree-Wasserstein distance (TWD) for high-dimensional data with two key aspects. First, our TWD is specifically…

机器学习 · 计算机科学 2025-02-25 Ya-Wei Eileen Lin , Ronald R. Coifman , Gal Mishne , Ronen Talmon