Power spectrum shape from peculiar velocity data
نویسندگان
چکیده
منابع مشابه
Power Spectrum Shape from Peculiar Velocity Data
We constrain the velocity power spectrum shape parameter Γ in linear theory using the nine bulk–flow and shear moments estimated from four recent peculiar velocity surveys. For each survey, a likelihood function for Γ was found after marginalizing over the power spectrum amplitude σ8Ω 0.6 m using constraints obtained from comparisons between redshift surveys and peculiar velocity data. In order...
متن کاملA New Method of Measuring the Peculiar Velocity Power Spectrum
We show that by directly correlating the cluster kinetic Sunyaev Zeldovich (KSZ) flux, the cluster peculiar velocity power spectrum can be measured to ∼ 10% accuracy by future large sky coverage KSZ surveys. This method is almost free of systemics entangled in the usual velocity inversion method. The direct correlation brings extra information of density and velocity clustering. We utilize thes...
متن کاملLarge-Scale Power Spectrum and Structures From the ENEAR galaxy Peculiar Velocity Catalog
We estimate the mass density fluctuations power spectrum (PS) on large scales by applying a maximum likelihood technique to the peculiar velocity data of the recently completed redshift-distance survey of early-type galaxies (hereafter ENEAR). Parametric CDM-like models for the PS are assumed, and the best fit parameters are determined by maximizing the probability of the model given the measur...
متن کاملLarge-scale Mass Power Spectrum from Peculiar Velocities
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. 2 The PS is estimated by applying maximum likelihood analysis, using generalized CDM models with and without COBE normalization. The application to both catalogs yields fairly similar results for the P...
متن کاملCosmological Parameters and Power Spectrum from Peculiar Velocities
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 to the two different data sets, using generalized CDM models with and without COBE normal-ization, give consistent results. The general result is a relative...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Monthly Notices of the Royal Astronomical Society
سال: 2007
ISSN: 0035-8711,1365-2966
DOI: 10.1111/j.1365-2966.2007.11970.x