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相关论文: Large-Scale Power Spectrum and Cosmological Parame…

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The power spectrum of mass density fluctuations is estimated from the Mark III and the SFI catalogs of peculiar velocities by applying a maximum likelihood analysis, using parametric models for the power spectrum and for the errors.…

天体物理学 · 物理学 2007-05-23 Idit Zehavi

The power spectrum of mass density fluctuations is evaluated from the Mark III and the SFI catalogs of peculiar velocities by a maximum likelihood analysis, using parametric models for the power spectrum and for the errors. The applications…

天体物理学 · 物理学 2007-05-23 Idit Zehavi , Avishai Dekel

This is a brief progress report on a long-term collaborative project to measure the power spectrum (PS) of mass density fluctuations from the Mark III and the SFI catalogs of peculiar velocities. The PS is estimated by applying maximum…

天体物理学 · 物理学 2007-05-23 Idit Zehavi

The power spectrum (PS) of mass density fluctuations, independent of `biasing', is estimated from the Mark III catalog of peculiar velocities using Bayesian statistics. A parametric model is assumed for the PS, and the free parameters are…

天体物理学 · 物理学 2009-10-28 S. Zaroubi , I. Zehavi , A. Dekel , Y. Hoffman , T. Kolatt

The power spectrum (PS) of {\it mass} density fluctuations, independent of ``biasing", is estimated from the Mark3 Catalog of Peculiar Velocities of galaxies using Bayesian statistics. A parametric model is assumed for the PS, and the free…

天体物理学 · 物理学 2016-08-30 S. Zaroubi , A. Dekel , Y. Hoffman , T. Kolatt

We allow for nonlinear effects in the likelihood analysis of galaxy peculiar velocities, and obtain ~35%-lower values for the cosmological density parameter Om and the amplitude of mass-density fluctuations. The power spectrum in the linear…

天体物理学 · 物理学 2009-11-06 L. Silberman , A. Dekel , A. Eldar , I. Zehavi

The power spectrum (PS) of mass density fluctuations, in the range $0.05 \leq k \leq 0.2 \ihmpc$, is derived from the Mark III catalog of peculiar velocities of galaxies, independent of ``biasing". It is computed from the density field as…

天体物理学 · 物理学 2016-08-30 Tsafrir Kolatt , Avishai Dekel

We have measured the cosmic momentum power spectrum from the peculiar velocities of galaxies in the SFI sample. The SFI catalog contains field spiral galaxies with radial peculiar velocities derived from the I-band Tully-Fisher relation. As…

天体物理学 · 物理学 2009-11-13 Chan-Gyung Park , Changbom Park

We estimate the mass density fluctuations power spectrum (PS) on large scales by applying a maximum likelihood technique to the peculiarvelocity data of the recently completed redshift-distance survey of early-type galaxies (ENEAR). The…

A formalism is presented that allows cosmological experiments to be tested for consistency, and allows a simple frequentist interpretation of the resulting significance levels. As an example of an application, this formalism is used to…

天体物理学 · 物理学 2009-10-07 Max Tegmark , Emory Bunn , Wayne Hu

We extract the galaxy density and momentum power spectra from a subset of early-type galaxies in the SDSS DR7 main galaxy catalog. Using galaxy distance information inferred from the improved fundamental plane described in…

宇宙学与河外天体物理 · 物理学 2023-10-03 Stephen Appleby , Motonari Tonegawa , Changbom Park , Sungwook E. Hong , Juhan Kim , Yongmin Yoon

We investigate the feasibility of carrying out likelihood analysis on the velocities of galaxy clusters to determine power spectrum parameters. Using N-body simulations of cosmological density fields we show that the velocity field traced…

天体物理学 · 物理学 2007-05-23 Rupert Croft , George Efstathiou

The power spectrum of density fluctuations measured from galaxy redshift surveys provides important constraints on models for the formation of large-scale structure. I review current results for the 3-D power spectrum and examine the…

天体物理学 · 物理学 2007-05-23 Michael S. Vogeley

We propose a new, likelihood-free approach to inferring the primordial matter power spectrum and cosmological parameters from arbitrarily complex forward models of galaxy surveys where all relevant statistics can be determined from…

宇宙学与河外天体物理 · 物理学 2019-10-09 Florent Leclercq , Wolfgang Enzi , Jens Jasche , Alan Heavens

The peculiar velocities of galaxies are an inherently valuable cosmological probe, providing an unbiased estimate of the distribution of matter on scales much larger than the depth of the survey. Much research interest has been motivated by…

宇宙学与河外天体物理 · 物理学 2015-03-19 Edward Macaulay , Hume A. Feldman , Pedro G. Ferreira , Andrew H. Jaffe , Shankar Agarwal , Michael J. Hudson , Richard Watkins

It has been argued recently that the galaxy peculiar velocity field provides evidence of excessive power on scales of $50\hmpc$, which seems to be inconsistent with the standard $\Lambda$CDM cosmological model. We discuss several…

宇宙学与河外天体物理 · 物理学 2015-06-11 Yin-Zhe Ma , Douglas Scott

Observations of the cosmic 21-cm power spectrum (PS) are starting to enable precision Bayesian inference of galaxy properties and physical cosmology, during the first billion years of our Universe. Here we investigate the impact of common…

宇宙学与河外天体物理 · 物理学 2023-07-12 David Prelogović , Andrei Mesinger

We show how, based on considerations on the observed form of the galaxy 2-point spatial correlation function xi(r), a very simplified -- yet surprisingly effective -- model for the linear density fluctuations power spectrum can be…

天体物理学 · 物理学 2009-10-22 Enzo Branchini , Luigi Guzzo , Riccardo Valdarnini

When extracting cosmological information from power spectrum measurements, we must consider the impact of super-sample density fluctuations whose wavelengths are larger than the survey scale. These modes contribute to the mean density…

宇宙学与河外天体物理 · 物理学 2014-12-03 Yin Li , Wayne Hu , Masahiro Takada

Band-power estimates of cosmic microwave background fluctuations are now routinely used to place constraints on cosmological parameters. For this to be done in a rigorous fashion, the full likelihood function of band-power estimates must be…

天体物理学 · 物理学 2011-05-23 J. G. Bartlett , M. Douspis , A. Blanchard , M. Le Dour
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