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A parametric approach is developed to the method of S-tree diagrams and its generalization for investigation of the hierarchical substructure of $N$-body nonlinearly interacting systems (e.g., clusters of galaxies). The introduction of a…

Astrophysics · Physics 2007-05-23 Karen M. Bekarian , Anahit A. Melkonian

The graph-theoretical S-tree technique developed for the study of the nonlinear N-body systems, is used for the study for the first time of the substructure of a high redshift cluster of galaxies, namely of MS 1054-03, z\simeq 0.8. Nearby…

Astrophysics · Physics 2010-11-11 V. G. Gurzadyan , A. Mazure

We describe a method for recovering of the substructure, internal dynamics and geometrical shapes of clusters of galaxies. Applying the method to the Virgo cluster, we, first, reveal the substructure of the central 4 arc degree field of the…

Astrophysics · Physics 2009-11-06 V. G. Gurzadyan , S. Rauzy , R. Triay

Statistical properties of nonlinear systems revealed in an unexpected way already in Fermi-Pasta-Ulam paper, are responsible for the appearance of substructures. We represent a method within S-tree diagram formalism for investigation of the…

Astrophysics · Physics 2010-11-11 K. M. Bekarian , A. A. Melkonian

We develop the Blooming Tree Algorithm, a new technique that uses spectroscopic redshift data alone to identify the substructures and the surrounding groups of galaxy clusters, along with their member galaxies. Based on the estimated…

Astrophysics of Galaxies · Physics 2018-06-21 Heng Yu , Antonaldo Diaferio , Ana Laura Serra , Marco Baldi

The results of the analysis of the subclustering in a sample of ESO Nearby Abell Cluster Survey (ENACS) galaxy clusters, with data complemented from other studies, are presented. The analysis is performed by using the S-tree method enabling…

Astrophysics · Physics 2015-06-24 V. G. Gurzadyan , A. Mazure

We have examined the spatial distribution of substructure in clusters of galaxies using Einstein X-ray observations. Subclusters are found to have a markedly anisotropic distribution that reflects the surrounding matter distribution on…

Astrophysics · Physics 2009-10-28 Michael J. West , Christine Jones , William Forman

We present a new method to quantify substructures in clusters of galaxies, based on the analysis of the intensity of structures. This analysis is done in a residual image that is the result of the subtraction of a surface brightness model,…

Cosmology and Nongalactic Astrophysics · Physics 2012-02-06 Felipe Andrade-Santos , Gastão B. Lima Neto , Tatiana F. Laganá

The S-tree method is used to estimate the redshift of the core of Coma cluster - $cz = 6953$ km s$^{-1}$ and dispersion $\sigma=949$ km s$^{-1}$. The existence of three subgroups of galaxies is revealed, one of them is associated with the…

Astrophysics · Physics 2007-05-23 V. G. Gurzadyan , A. Mazure

The Large-Scale Structure (LSS) of the Universe is a homogeneous network of galaxies separated in dense complexes, the superclusters of galaxies, and almost empty voids. The superclusters are young structures that did not have time to…

Astrophysics of Galaxies · Physics 2020-01-13 I. Santiago-Bautista , C. A. Caretta , H. Bravo-Alfaro , E. Pointecouteau , F. Madrigal

We propose a new hierarchical method which uses dynamical arguments to find and describe substructures in galaxy clusters. This method (hereafter h--method or h--analysis) uses a hierarchical clustering analysis to determine the…

Astrophysics · Physics 2007-05-23 Arturo Serna , Daniel Gerbal

A recently proposed clustering method, called the Nearest Descent (ND), can organize the whole dataset into a sparsely connected graph, called the In-tree. This ND-based Intree structure proves able to reveal the clustering structure…

Machine Learning · Computer Science 2018-01-30 Teng Qiu , Yongjie Li

We introduce a new kinematic method to investigate the structure of open star clusters. We adopt a hierarchical clustering algorithm that uses the celestial coordinates and the proper motions of the stars in the field of view of the cluster…

Astrophysics of Galaxies · Physics 2020-08-26 Heng Yu , Zheng-Yi Shao , Antonaldo Diaferio , Lu Li

We investigate the power of the caustic technique for identifying substructures of galaxy clusters from optical redshift data alone. The caustic technique is designed to estimate the mass profile of galaxy clusters to radii well beyond the…

Cosmology and Nongalactic Astrophysics · Physics 2015-09-09 Heng Yu , Ana Laura Serra , Antonaldo Diaferio , Marco Baldi

A general method of deprojecting two-dimensional images to reconstruct the three dimensional structure of the projected object --specifically X-ray, Sunyaev-Zel'dovich (SZ) and gravitational lensing maps of rich clusters of galaxies --…

Astrophysics · Physics 2009-10-31 S. Zaroubi , G. Squires , G. de Gasperis , A. Evrard , Y. Hoffman , J. Silk

I review recent progress in the study of the large-scale structure of the Universe through the distribution of clusters of galaxies, concentrating on new results using X-ray selected samples. After discussing the importance of understanding…

Astrophysics · Physics 2007-05-23 L. Guzzo

The Blooming Tree (BT) algorithm, based on the hierarchical clustering method, is designed to identify clusters, groups, and substructures from galaxy redshift surveys. We apply the BT algorithm to a wide-field ($10\times 10$ deg$^2$)…

Cosmology and Nongalactic Astrophysics · Physics 2025-10-01 Heng Yu , Antonaldo Diaferio

A new approach to the study of the large-scale stellar cluster distribution in the Galaxy based on two-point correlation techniques is presented. The basic formalism for this method is outlined and its applications are then investigated by…

Astrophysics · Physics 2009-10-30 M. Lopez-Corredoira , F. Garzon , P. L. Hammersley , T. J. Mahoney

We provide a brief summary of the history of galaxy structure studies. We also introduce several large-scale redshift surveys and summarize the most commonly used methods to identify the groups and clusters of galaxies. We present several…

Cosmology and Nongalactic Astrophysics · Physics 2013-12-31 Tiit Sepp , Mirt Gramann

We face a need of discovering a pattern in locations of a great number of points in a high-dimensional space. Goal is to group the close points together. We are interested in a hierarchical structure, like a B-tree. B-Trees are…

Data Structures and Algorithms · Computer Science 2016-07-19 Victor Sadikov , Oliver Rutishauser
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