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相关论文: Optimal Moments for Velocity Fields Analysis

200 篇论文

Current models of galaxy evolution are constrained by the analysis of catalogs containing the flux and size of galaxies extracted from multiband deep fields carrying inevitable observational and extraction-related biases which can be highly…

星系天体物理 · 物理学 2022-08-30 Florian Livet , Tom Charnock , Damien Le Borgne , Valérie de Lapparent

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

Cosmological parameters can be measured by comparing peculiar velocities with those predicted from a galaxy density field. Previous work has tested the accuracy of this approach with N-body simulations, but generally on idealised mock…

宇宙学与河外天体物理 · 物理学 2024-03-27 Amber M. Hollinger , Michael J. Hudson

We estimate the power spectrum of mass density fluctuations from peculiar velocities of galaxies by applying an improved maximum-likelihood technique to the new all-sky SFI catalog. Parametric models are used for the power spectrum and the…

We study the cosmic peculiar velocity field as traced by a sample of 1184 spiral, elliptical and S0 galaxies, grouped in 704 objects. We carry out a statistical analysis, by calculating bulk flows and velocity correlation functions for this…

天体物理学 · 物理学 2007-05-23 F. Lucchin , S. Matarrese , L. Moscardini , G. Tormen

We present extensive tests of the Fast Action Method (FAM) for recovering the past orbits of mass tracers in an expanding universe from their redshift-space coordinates at the present epoch. The tests focus on the reconstruction of…

天体物理学 · 物理学 2009-11-07 Enzo Branchini , Amiram Eldar , Adi Nusser

We have developed a new Bayesian method to correct the flux densities of astronomical sources. The hybrid method combines a simulated likelihood to model survey selection together with an analytic source-count-based prior. The simulated…

星系天体物理 · 物理学 2020-04-29 Megan B. Gralla , Tobias A. Marriage

We conduct a thorough study into the feasibility of measuring large-scale correlated proper motions of galaxies with astrometric surveys. We introduce a harmonic formalism for analysing proper motions and their correlation functions on the…

宇宙学与河外天体物理 · 物理学 2019-06-14 Alex Hall

We develop new methods to study the properties of galaxy redshift surveys and radial peculiar velocity surveys, both individually and combined. We derive the Fisher information matrix for redshift surveys, including redshift distortions and…

天体物理学 · 物理学 2009-11-10 Daniel Burkey , Andy Taylor

We introduce a new estimator of the peculiar velocity of a galaxy or group of galaxies from redshift and distance estimates. This estimator results in peculiar velocity estimates which are statistically unbiased and that have errors that…

宇宙学与河外天体物理 · 物理学 2015-06-23 Richard Watkins , Hume A. Feldman

The line-of-sight peculiar velocities are good indicators of the gravitational fluctuation of the density field. Techniques have been developed to extract cosmological information from the peculiar velocities in order to test the…

宇宙学与河外天体物理 · 物理学 2021-12-08 Fei Qin

Amongst the most popular explanations for dark energy are modified theories of gravity. The galaxy overdensity and peculiar velocity fields help us to constrain the growth rate of structure and distinguish different models of gravity. We…

宇宙学与河外天体物理 · 物理学 2023-02-20 Yan Lai , Cullan Howlett , Tamara M. Davis

In this article we give an account of a method of smoothing spatial inhomogeneous data sets by using wavelet reconstruction on a regular grid in an auxilliary space onto which the original data is mapped. In a previous paper by the present…

天体物理学 · 物理学 2009-10-28 S. Rauzy , M. Lachièze-Rey , R. N. Henriksen

The reconstruction of the peculiar velocity field from the 1.936~Jy iras selected sample of galaxies is compared to a similar reconstruction from an optically selected sample. A general method for combining different samples to reconstruct…

天体物理学 · 物理学 2015-06-24 Wolfram Freudling , Luiz Nicolaci da Costa , Paulo S. Pellegrini

In this paper, we develop a full statistical method for the pairwise velocity estimator previously proposed, and apply Cosmicflows-2 catalogue to this method to constrain cosmology. We first calculate the covariance matrix for line-of-sight…

宇宙学与河外天体物理 · 物理学 2015-11-04 Yin-Zhe Ma , Min Li , Ping He

Comparison of galaxy flows with those predicted from the local galaxy distribution ended as an active field after two analyses came to vastly different conclusions 25 years ago, but that was due to faulty data. All the old results are…

宇宙学与河外天体物理 · 物理学 2017-02-08 Marc Davis , Adi Nusser

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

Our peculiar velocity imprints a dipole on galaxy density maps derived from redshift surveys. The dipole gives rise to an oscillatory signal in the multipole moments of the observed power spectrum which we indicate as the…

宇宙学与河外天体物理 · 物理学 2025-04-04 Mohamed Yousry Elkhashab , Cristiano Porciani , Daniele Bertacca

Galaxy peculiar velocities can be used to trace the growth of structure on cosmological scales. In the radial direction, peculiar velocities cause redshift space distortions, an established cosmological probe, and can be measured…

宇宙学与河外天体物理 · 物理学 2024-02-06 Iain Duncan , David Alonso , Anže Slosar , Kate Storey-Fisher

Numerical simulations are a key tool to decipher the dynamics of gravitation. Yet, they fail to spatially reproduce the Universe we observe, limiting comparison between observations and simulations to a statistical level. This is highly…

宇宙学与河外天体物理 · 物理学 2026-02-04 Aurélien Valade , Noam Libeskind , Daniel Pomarède , Richard Stiskalek , Yehuda Hoffman , Stefan Gottlöber , R. Brent Tully