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相关论文: Weak Separation, Pure Domains and Cluster Distance

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If galaxy clusters contain intracluster dust, the spectra of galaxies lying behind clusters should show attenuation by dust absorption. We compare the optical (3500 - 7200 \AA) spectra of 60,267 luminous, early-type galaxies selected from…

天体物理学 · 物理学 2008-11-11 Jo Bovy , David W. Hogg , John Moustakas

This paper considers metric spaces where distances between a pair of nodes are represented by distance intervals. The goal is to study methods for the determination of hierarchical clusters, i.e., a family of nested partitions indexed by a…

社会与信息网络 · 计算机科学 2016-10-17 Weiyu Huang , Alejandro Ribeiro

The evolution of the properties of the hot gas that fills the potential well of galaxy clusters is poorly known, since models are unable to give robust predictions and observations lack a sufficient redshift leverage and are affected by…

宇宙学与河外天体物理 · 物理学 2015-05-20 S. Andreon , G. Trinchieri , F. Pizzolato

ABCDE is a sophisticated technique for evaluating differences between very large clusterings. Its main metric that characterizes the magnitude of the difference between two clusterings is the JaccardDistance, which is a true distance metric…

信息检索 · 计算机科学 2024-09-30 Stephan van Staden

$\renewcommand{\Re}{\mathbb{R}}$Given a set $P$ of $n$ points in $\Re^d$, consider the problem of computing $k$ subsets of $P$ that form clusters that are well-separated from each other, and each of them is large (cardinality wise). We…

计算几何 · 计算机科学 2021-06-11 Sariel Har-Peled , Joseph Rogge

In recent years, the availability of large, complete cluster samples has enabled numerous cosmological parameter inference analyses using cluster number counts. These have provided constraints on the cosmic matter density $\Omega_m$ and the…

宇宙学与河外天体物理 · 物理学 2021-11-23 P. S. Corasaniti , M. Sereno , S. Ettori

Recently, it has been shown that it is possible to reconstruct the projected mass distribution of a cluster from weak lensing provided that both the geometry of the universe and the probability distribution of galaxy redshifts are known;…

天体物理学 · 物理学 2007-05-23 Marco Lombardi , Giuseppe Bertin

The recently revised cosmological constraints from the Five-Year WMAP data ameliorate previous tension between cosmological constraints from the microwave background and from cluster abundances. We demonstrate that the revised estimates of…

天体物理学 · 物理学 2009-11-13 Kenneth Rines , Antonaldo Diaferio , Priyamvada Natarajan

We present results of weak lensing cluster counts obtained from 11 sq.deg SuprimeCam data. Although the area is much smaller than previous work dealing with weak lensing peak statistics, the number density of galaxies usable for weak…

宇宙学与河外天体物理 · 物理学 2015-06-17 Takashi Hamana , Junya Sakurai , Michitaro Koike , Lance Miller

We present a new theoretical framework for modelling the cluster growing process. Starting from the initial tetrahedral cluster configuration, adding new atoms to the system and absorbing its energy at each step, we find cluster growing…

原子与分子团簇 · 物理学 2007-05-23 A. Koshelev , A. Shutovich , Il. A. Solov'yov , A. V. Solov'yov , W. Greiner

Two natural and widely used representations for the community structure of networks are clusterings, which partition the vertex set into disjoint subsets, and layouts, which assign the vertices to positions in a metric space. This paper…

离散数学 · 计算机科学 2009-02-06 Andreas Noack

Observations of clusters suffer from issues such as completeness, projection effects, resolving individual stars and extinction. As such, how accurate are measurements and conclusions are likely to be? Here, we take cluster simulations…

太阳与恒星天体物理 · 物理学 2023-11-14 Anne S. M. Buckner , Tim Naylor , Clare L. Dobbs , Steven Rieder , Thomas J. R. Bending

We define a modified Wasserstein distance for distribution clustering which inherits many of the properties of the Wasserstein distance but which can be estimated easily and computed quickly. The modified distance is the sum of two terms.…

统计方法学 · 统计学 2018-12-31 Isabella Verdinelli , Larry Wasserman

Although distance measures are used in many machine learning algorithms, the literature on the context-independent selection and evaluation of distance measures is limited in the sense that prior knowledge is used. In cluster analysis,…

机器学习 · 计算机科学 2021-08-24 Michael C. Thrun

We present optical and near-infrared photometry of 45 clusters of galaxies at 0.1 < z < 1.3. Galaxy catalogs in each cluster were defined at the longest wavelenth available, generally the K-band, down to approximately two magnitudes below…

天体物理学 · 物理学 2009-11-07 S. A. Stanford , Peter R. Eisenhardt , Mark Dickinson , B. P. Holden , Roberto De Propris

This paper investigates the capability of correctly recovering well-separated clusters by various brands of the $k$-means algorithm. The concept of well-separatedness used here is derived directly from the common definition of clusters,…

机器学习 · 计算机科学 2023-08-07 Mieczysław A. Kłopotek

By virtue of their high galaxy space densities and their large spatial separations, clusters are efficient and accurate tracers of the large-scale density and velocity fields. Substantial progress has been made over the past decade in the…

天体物理学 · 物理学 2007-05-23 Marc Postman

We report weak-lensing masses for 51 of the most X-ray luminous galaxy clusters known. This cluster sample, introduced earlier in this series of papers, spans redshifts 0.15 < z_cl < 0.7, and is well suited to calibrate mass proxies for…

This work explores the clustering of wireless users by examining the distances between their channel covariance matrices, which reside on the Riemannian manifold of positive definite matrices. Specifically, we consider an estimator of the…

信号处理 · 电气工程与系统科学 2024-08-09 Roberto Pereira , Xavier Mestre

We present the statistically complete and cosmologically most relevant subset of the twelve most distant galaxy clusters detected at z>0.5 by the MAssive Cluster Survey (MACS). Ten of these systems are new discoveries; only two…

天体物理学 · 物理学 2009-11-13 H. Ebeling , E. Barrett , D. Donovan , C. -J. Ma , A. C. Edge , L. van Speybroeck