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相关论文: Cosmic Flows 99: Conference Summary

200 篇论文

We compare the peculiar velocities of nearby SNe Ia with those predicted by the gravity fields of full sky galaxy catalogs. The method provides a powerful test of the gravitational instability paradigm and strong constraints on the density…

天体物理学 · 物理学 2009-10-30 Adam G. Riess , Marc Davis , Jonathan Baker , Robert P. Kirshner

Peculiar velocities of clusters of galaxies can be measured by studying the fluctuations in the cosmic microwave background (CMB) generated by the scattering of the microwave photons by the hot X-ray emitting gas inside clusters. While for…

天体物理学 · 物理学 2010-11-26 A. Kashlinsky , F. Atrio-Barandela , D. Kocevski , H. Ebeling

We present the Democratic Samples of Supernovae (DSS), a compilation of 775 low-redshift Type Ia and II supernovae (SNe Ia & II), of which 137 SN Ia distances are derived via the newly developed snapshot distance method. Using the objects…

宇宙学与河外天体物理 · 物理学 2021-05-26 Benjamin E. Stahl , Thomas de Jaeger , Supranta S. Boruah , WeiKang Zheng , Alexei V. Filippenko , Michael J. Hudson

We study the gravitational influence of very large scale structures, as traced by clusters of galaxies, on the Local Group [LG] motion and the large scale flows. We derive from the distribution of Abell clusters within $300~$Mpc/h the…

天体物理学 · 物理学 2007-05-23 R. Scaramella

I summarize both observational and theoretical developments in the last few years in measuring and understanding the large-scale velocity field of galaxies, with special attention to the bulk flow, or average peculiar velocity, within…

天体物理学 · 物理学 2007-05-23 Michael A. Strauss

This work investigates the impact of cosmic flows and density perturbations on Hubble constant $H_0$ measurements using nonlinear phase-space reconstructions of the Local Universe (LU). In particular, we rely on 25 constrained N-body…

宇宙学与河外天体物理 · 物理学 2016-02-24 Steffen Hess , Francisco-Shu Kitaura

The fitting of the observed redshifts and magnitudes of type Ia supernovae to what we would see in homogeneous cosmological models has led to constraints on cosmological parameters. However, in doing such fits it is assumed that the sampled…

天体物理学 · 物理学 2010-11-11 R. Ali Vanderveld

Recently, peculiar velocity measurements became available for a new sample of galaxy clusters. From an accurately calibrated Tully-Fisher relation for spiral galaxies, we compute the rms cluster peculiar velocity and compare it to the…

天体物理学 · 物理学 2009-10-30 S. Borgani , L. N. da Costa , W. Freudling , R. Giovanelli , M. P. Haynes , J. Salzer , G. Wegner

Peculiar-velocity surveys of the low-redshift universe have significant leverage to constrain the growth rate of cosmic structure and test gravity. Wide-field imaging surveys combined with multi-object spectrographs (e.g. ZTF2, LSST, DESI,…

宇宙学与河外天体物理 · 物理学 2020-01-29 Alex G. Kim , Eric V. Linder

Galaxy cluster peculiar velocities can be inferred from high-sensitivity, high-resolution multiple-frequency observations in the 30 to 400 GHz range. While galaxy cluster counts and power spectra are sensitive to the growth factor, peculiar…

天体物理学 · 物理学 2009-11-07 A. Peel , L. Knox

Recent combined analyses of the CMB and galaxy cluster data reveal unexpectedly large and anisotropic peculiar velocity fields at large scales. We study cosmic models with included vorticity, acceleration and total angular momentum of the…

宇宙学与河外天体物理 · 物理学 2014-11-18 Davor Palle

This article publicly releases three-dimensional reconstructions of the local Universe gravitational field below z=0.8 that were computed using the CosmicFlows-4 catalog of 56,000 galaxy distances and its sub-sample of 1,008 type Ia…

宇宙学与河外天体物理 · 物理学 2023-02-09 H. M. Courtois , A. Dupuy , D. Guinet , G. Baulieu , F. Ruppin , P. Brenas

Maximum Likelihood estimation of the bulk flow from radial peculiar motions of galaxies, generally assumes a constant velocity field inside the survey volume. The assumption is inconsistent with the definition of the bulk flow as the…

宇宙学与河外天体物理 · 物理学 2015-06-19 Adi Nusser

Analyses of peculiar velocity surveys face several challenges, including low signal--to--noise in individual velocity measurements and the presence of small--scale, nonlinear flows. I will present three new analyses that attempt to address…

天体物理学 · 物理学 2007-05-23 Hume A Feldman

We apply statistically rigorous methods of nonparametric risk estimation to the problem of inferring the local peculiar velocity field from nearby supernovae (SNIa). We use two nonparametric methods - Weighted Least Squares (WLS) and…

宇宙学与河外天体物理 · 物理学 2015-05-27 Anja Weyant , Michael Wood-Vasey , Larry Wasserman , Peter Freeman

A large bulk flow, which is in tension with the Lambda Cold Dark Matter ($\Lambda$CDM) cosmological model, has been observed. In this paper, we provide a physically plausible explanation of this bulk flow, based on the assumption that some…

宇宙学与河外天体物理 · 物理学 2011-05-19 Yin-Zhe Ma , Christopher Gordon , Hume A. Feldman

As tracers of the underlying mass distributions, the peculiar velocities of galaxies are valuable probes of the Universe, allowing us to measure the Hubble constant or to map the large-scale structure and its dynamics. The catalogs of…

宇宙学与河外天体物理 · 物理学 2026-04-01 C. Duangchan , A. Valade , N. I. Libeskind , M. Steinmetz

A hierarchical Bayesian model is applied to the Cosmicflows-3 catalog of galaxy distances in order to derive the peculiar velocity field and distribution of matter within $z \sim 0.054$. The model assumes the $\Lambda$CDM model within the…

宇宙学与河外天体物理 · 物理学 2019-01-23 R. Graziani , H. M. Courtois , G. Lavaux , Y. Hoffman , R. B. Tully , Y. Copin , D. Pomarède

We compare the measured peculiar velocities of 98 local (<150/h Mpc) type Ia supernovae (SNIa) with predictions derived from the PSCz. There is excellent agreement between the two datasets with a best fit beta_I (=Omega_m^0.6/b_I) of…

天体物理学 · 物理学 2007-05-23 John Lucey , David Radburn-Smith , Mike Hudson

The reconstruction of the large scale velocity field from the grouped Cosmicflows-4 (CF4) database is presented. The lognormal bias of the inferred distances and velocities data is corrected by the Bias Gaussianization correction (BGc)…