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We present a cosmic shear analysis of the 100 square degree weak lensing survey, combining data from the CFHTLS-Wide, RCS, VIRMOS-DESCART and GaBoDS surveys. Spanning ~100 square degrees, with a median source redshift z~0.78, this combined…

Peculiar velocity surveys have non-uniform spatial distributions of tracers, so that the bulk flow estimated from them does not correspond to that of a simple volume such as a sphere. Thus bulk flow estimates are generally not strictly…

天体物理学 · 物理学 2010-11-24 Richard Watkins , Hume A. Feldman , Michael J. Hudson

Markov Chain Monte Carlo (MCMC) techniques are now widely used for cosmological parameter estimation. Chains are generated to sample the posterior probability distribution obtained following the Bayesian approach. An important issue is how…

天体物理学 · 物理学 2009-11-10 Joanna Dunkley , Martin Bucher , Pedro G. Ferreira , Kavilan Moodley , Constantinos Skordis

Void number counts (VNC) indicates the number of low-density regions in the large-scale structure (LSS) of the Universe, and we propose to use it as an effective cosmological probe. By generating the galaxy mock catalog based on Jiutian…

宇宙学与河外天体物理 · 物理学 2024-09-06 Yingxiao Song , Qi Xiong , Yan Gong , Furen Deng , Kwan Chuen Chan , Xuelei Chen , Qi Guo , Yun Liu , Wenxiang Pei

We consider the bias introduced by a spatially-varying multiplicative shear bias (m-bias) on tomographic cosmic shear angular power spectra. To compute the bias in the power spectra, we estimate the mode-coupling matrix associated with an…

宇宙学与河外天体物理 · 物理学 2022-11-30 Casey Cragg , Christopher A. J. Duncan , Lance Miller , David Alonso

Weak gravitational lensing surveys are rapidly becoming important tools to probe directly the mass density fluctuations in the universe and its background dynamics. Earlier studies have shown that it is possible to model the statistics of…

天体物理学 · 物理学 2009-11-07 Patrick Valageas , Andrew J. Barber , Dipak Munshi

The probability density function (PDF) of the gas density in subsonic and supersonic, isothermal, driven turbulence is analyzed with a systematic set of hydrodynamical grid simulations with resolutions up to 1024^3 cells. We performed a…

太阳与恒星天体物理 · 物理学 2014-11-27 Lukas Konstandin , Philipp Girichidis , Christoph Federrath , Ralf S. Klessen

The large-scale structure of the Universe and its evolution over time contains an abundance of cosmological information. One way to unlock this is by measuring the density and momentum power spectrum from the positions and peculiar…

宇宙学与河外天体物理 · 物理学 2025-07-03 Fei Qin , Cullan Howlett , David Parkinson

The nonlinear mass is a characteristic scale in halo formation that has wide-ranging applications across cosmology. Naively, computing it requires repeated numerical integration to calculate the variance of the power spectrum on different…

宇宙学与河外天体物理 · 物理学 2019-11-04 Alex Krolewski , Zachary Slepian

We study the properties of cosmological shock waves identified in high-resolution, N-body/hydrodynamic simulations of a $\Lambda$CDM universe and their role on thermalization of gas and acceleration of nonthermal, cosmic ray (CR) particles.…

天体物理学 · 物理学 2008-11-26 Dongsu Ryu , Hyesung Kang , Eric Hallman , T. W. Jones

We give the first determination of the observed peculiar velocity distribution function for a representative sample of galaxies (within 50 Mpc (H=100) of the Local Group), which includes a wide range of clustering properties. We explore in…

天体物理学 · 物理学 2009-10-28 Somak Raychaudhury , William C. Saslaw

We analyse the covariance of the one-dimensional mass power spectrum along lines of sight. The covariance reveals the correlation between different modes of fluctuations in the cosmic density field and gives the sample variance error for…

天体物理学 · 物理学 2009-11-10 Hu Zhan , Daniel Eisenstein

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

Statistical weak lensing by large-scale structure -- cosmic shear -- is a promising cosmological tool, which has motivated the design of several large upcoming surveys. Here, we present a measurement of cosmic shear using coadded Sloan…

宇宙学与河外天体物理 · 物理学 2011-12-15 Eric M. Huff , Tim Eifler , Christopher M. Hirata , Rachel Mandelbaum , David Schlegel , Uros Seljak

The interpretation of cosmological observables requires the use of increasingly sophisticated theoretical models. Since these models are becoming computationally very expensive and display non-trivial uncertainties, the use of standard…

宇宙学与河外天体物理 · 物理学 2020-10-14 Marcos Pellejero-Ibañez , Raul E. Angulo , Giovanni Aricó , Matteo Zennaro , Sergio Contreras , Jens Stücker

In this paper we investigate how observational effects could possibly bias cosmological inferences from peculiar velocity measurements. Specifically, we look at how bulk flow measurements are compared with theoretical predictions. Usually…

宇宙学与河外天体物理 · 物理学 2016-09-15 Per Andersen , Tamara M. Davis , Cullan Howlett

Understanding the internal structure and spatial distribution of cosmic voids is crucial when considering them as probes of cosmology. We present recent advances in modeling void density- and velocity-profiles in real space, as well as void…

宇宙学与河外天体物理 · 物理学 2014-09-29 Nico Hamaus , P. M. Sutter , Benjamin D. Wandelt

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

We use 26 million galaxies from the Dark Energy Survey (DES) Year 1 shape catalogs over 1321 deg$^2$ of the sky to produce the most significant measurement of cosmic shear in a galaxy survey to date. We constrain cosmological parameters in…

宇宙学与河外天体物理 · 物理学 2018-09-12 M. A. Troxel , N. MacCrann , J. Zuntz , T. F. Eifler , E. Krause , S. Dodelson , D. Gruen , J. Blazek , O. Friedrich , S. Samuroff , J. Prat , L. F. Secco , C. Davis , A. Ferté , J. DeRose , A. Alarcon , A. Amara , E. Baxter , M. R. Becker , G. M. Bernstein , S. L. Bridle , R. Cawthon , C. Chang , A. Choi , J. De Vicente , A. Drlica-Wagner , J. Elvin-Poole , J. Frieman , M. Gatti , W. G. Hartley , K. Honscheid , B. Hoyle , E. M. Huff , D. Huterer , B. Jain , M. Jarvis , T. Kacprzak , D. Kirk , N. Kokron , C. Krawiec , O. Lahav , A. R. Liddle , J. Peacock , M. M. Rau , A. Refregier , R. P. Rollins , E. Rozo , E. S. Rykoff , C. Sánchez , I. Sevilla-Noarbe , E. Sheldon , A. Stebbins , T. N. Varga , P. Vielzeuf , M. Wang , R. H. Wechsler , B. Yanny , T. M. C. Abbott , F. B. Abdalla , S. Allam , J. Annis , K. Bechtol , A. Benoit-Lévy , E. Bertin , D. Brooks , E. Buckley-Geer , D. L. Burke , A. Carnero Rosell , M. Carrasco Kind , J. Carretero , F. J. Castander , M. Crocce , C. E. Cunha , C. B. D'Andrea , L. N. da Costa , D. L. DePoy , S. Desai , H. T. Diehl , J. P. Dietrich , P. Doel , E. Fernandez , B. Flaugher , P. Fosalba , J. García-Bellido , E. Gaztanaga , D. W. Gerdes , T. Giannantonio , D. A. Goldstein , R. A. Gruendl , J. Gschwend , G. Gutierrez , D. J. James , T. Jeltema , M. W. G. Johnson , M. D. Johnson , S. Kent , K. Kuehn , S. Kuhlmann , N. Kuropatkin , T. S. Li , M. Lima , H. Lin , M. A. G. Maia , M. March , J. L. Marshall , P. Martini , P. Melchior , F. Menanteau , R. Miquel , J. J. Mohr , E. Neilsen , R. C. Nichol , B. Nord , D. Petravick , A. A. Plazas , A. K. Romer , A. Roodman , M. Sako , E. Sanchez , V. Scarpine , R. Schindler , M. Schubnell , M. Smith , R. C. Smith , M. Soares-Santos , F. Sobreira , E. Suchyta , M. E. C. Swanson , G. Tarle , D. Thomas , D. L. Tucker , V. Vikram , A. R. Walker , J. Weller , Y. Zhang

The number density and correlation function of galaxies are two key quantities to characterize the distribution of the observed galaxy population. High-$z$ spectroscopic surveys, which usually involve complex target selection and are…

星系天体物理 · 物理学 2024-02-05 Jiacheng Meng , Cheng Li , Houjun Mo , Yangyao Chen , Kai Wang