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Counts of galaxies as a function of apparent magnitude are among the most time-honored observations in cosmology. In this Letter, we focus on some statistical properties of these counts which are fundamental in order to characterize the…

天体物理学 · 物理学 2007-05-23 Francesco Sylos Labini , Andrea Gabrielli

We present a brief introduction to the statistical properties of systems with large fluctuations. We point out that for such systems the relevant statistical quantities are scaling exponents and the nature of fluctuations is completely…

天体物理学 · 物理学 2007-05-23 Francesco Sylos Labini , Andrea Gabrielli

We study statistical properties of galaxy structures in several samples extracted from the 2dF Galaxy Redshift Survey. In particular, we measured conditional fluctuations by means of the scale-length method and determined their probability…

宇宙学与河外天体物理 · 物理学 2010-11-02 Francesco Sylos Labini , Nikolay L. Vasilyev , Yurij V. Baryshev

We introduce the basic techniques used for the analysis of three dimensional and two dimensional galaxy samples. We report the correlation analysis of various redshift surveys which shows that the available data are consistent with each…

天体物理学 · 物理学 2007-05-23 L. Pietronero , F. Sylos Labini , M. Montuori

We apply the scale-length method to several three dimensional samples of the Two degree Field Galaxy Redshift Survey. This method allows us to map in a quantitative and powerful way large scale structures in the distribution of galaxies…

天体物理学 · 物理学 2009-08-03 Francesco Sylos Labini , Nikolay L. Vasilyev , Yurij V. Baryshev

The fact that galaxy distribution exhibits fractal properties is well established since twenty years. Nowadays, the controversy concerns the range of the fractal regime, the value of the fractal dimension and the eventual presence of a…

天体物理学 · 物理学 2007-05-23 Francesco Sylos Labini

We report the correlation analysis of various redshift surveys which shows that the available data are consistent with each other and manifest fractal correlations (with dimension $D \simeq 2$) up to the present observational limits…

天体物理学 · 物理学 2009-10-30 M. Montuori , F. Sylos Labini , A. Gabrielli , A. Amici , L. Pietronero

This paper presents a review of the fractal approach for describing the large scale distribution of galaxies. We start by presenting a brief, but general, introduction to fractals, which emphasizes their empirical side and applications…

天体物理学 · 物理学 2022-05-10 Marcelo B. Ribeiro , Alexandre Y. Miguelote

Galaxy clustering provides a powerful way to probe cosmology. This requires understanding of the background mean density of galaxy samples, which is estimated from the survey itself by averaging the observed galaxy number density over the…

宇宙学与河外天体物理 · 物理学 2025-01-30 Jaiyul Yoo , Daniel Eisenstein

The large scale distribution of galaxies in the universe displays a complex pattern of clusters, super-clusters, filaments and voids with sizes limited only by the boundaries of the available samples. A quantitative statistical…

宇宙学与河外天体物理 · 物理学 2015-05-20 Francesco Sylos Labini , Luciano Pietronero

Some years ago we proposed a new approach to the analysis of galaxy and cluster correlations based on the concepts and methods of modern statistical Physics. This led to the surprising result that galaxy correlations are fractal and not…

天体物理学 · 物理学 2017-05-31 F. Sylos Labini , M. Montuori , L. Pietronero

We introduce and study two new concepts which are essential for the quantitative analysis of the statistical quality of the available galaxy samples. These are the dilution effect and the small scale fluctuations. We show that the various…

天体物理学 · 物理学 2019-08-17 F. Sylos Labini , A. Gabrielli , M. Montuori , L. Pietronero

The structure of the large scale distribution of the galaxies have been widely studied since the publication of the first catalogs. Since large redshift samples are available, their analyses seem to show fractal correlations up to the…

天体物理学 · 物理学 2007-05-23 Marie-Noelle Celerier , Reuben Thieberger

The properties of the galaxy distribution at large scales are usually studied using statistics which are assumed to be self-averaging inside a given sample. We present a new analysis able to quantitatively map galaxy large scale structures…

天体物理学 · 物理学 2009-08-03 Francesco Sylos Labini , Nikolay L. Vasilyev , Luciano Pietronero , Yurij V. Baryshev

The aim of this review article is to give a comprehensive description of the scaling properties detected for the distribution of cosmic structures. Due to the great variety of statistical methods to describe the large-scale structure of the…

天体物理学 · 物理学 2008-11-26 Stefano Borgani

There is a general agreement that galaxy structures exhibit fractal properties, at least up to some small scale. However the presence of an eventual crossover towards homogenization, as well as the exact value of the fractal dimension, are…

天体物理学 · 物理学 2016-08-30 Francesco Sylos Labini

We discuss cosmological inference from galaxy surveys at low and high redshifts. Studies of optical and IRAS redshift surveys with median redshift ${\bar z} \sim 0.02$ yield measurements of the density parameter $\Omega$ and the…

天体物理学 · 物理学 2007-05-23 Ofer Lahav

The debate on the correlation properties of galaxy structures has having an increasing interest during the last year. In this lecture we discuss the claims of different authors who have criticized our approach and results. In order to have…

天体物理学 · 物理学 2007-05-23 Luciano Pietronero , Francesco Sylos Labini

We present a general relativistic description of galaxy clustering in a FLRW universe. The observed redshift and position of galaxies are affected by the matter fluctuations and the gravity waves between the source galaxies and the…

宇宙学与河外天体物理 · 物理学 2009-10-29 Jaiyul Yoo , A. Liam Fitzpatrick , Matias Zaldarriaga

One of the main problems of observational cosmology is to determine the range in which a reliable measurement of galaxy correlations is possible. This corresponds to determine the shape of the correlation function, its possible evolution…

宇宙学与河外天体物理 · 物理学 2014-07-18 Francesco Sylos Labini , Daniil Tekhanovich , Yurij V. Baryshev
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