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相关论文: Testing one-loop galaxy bias: Power spectrum

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Shear estimation bias from galaxy detection and blending identification is now recognized as an issue for ongoing and future weak lensing surveys. Currently, the empirical approach to correcting for this bias involves numerically shearing…

宇宙学与河外天体物理 · 物理学 2023-03-29 Xiangchong Li , Rachel Mandelbaum

It was recently shown that applying a Gaussianizing transform, such as a logarithm, to the nonlinear matter density field extends the range of useful applicability of the power spectrum by a factor of a few smaller. Such a transform…

宇宙学与河外天体物理 · 物理学 2011-11-15 Mark C. Neyrinck

We present a new model for the redshift-space power spectrum of galaxies and demonstrate its accuracy in modeling the monopole, quadrupole, and hexadecapole of the galaxy density field down to scales of $k = 0.4 \ h\mathrm{Mpc}^{-1}$. The…

宇宙学与河外天体物理 · 物理学 2017-10-18 Nick Hand , Uros Seljak , Florian Beutler , Zvonimir Vlah

Hydrodynamical simulations of galaxy formation have now reached sufficient volume to make precision predictions for clustering on cosmologically relevant scales. Here we use our new IllustrisTNG simulations to study the non-linear…

We identify and study a previously unknown systematic effect on cosmic shear measurements, caused by the selection of galaxies used for shape measurement, in particular the rejection of close (blended) galaxy pairs. We use ray-tracing…

宇宙学与河外天体物理 · 物理学 2015-05-20 Jan Hartlap , Stefan Hilbert , Peter Schneider , Hendrik Hildebrandt

Adopting the framework of the Halo Occupation Distribution (HOD), we investigate the ability of galaxy clustering measurements to simultaneously constrain cosmological parameters and galaxy bias. Starting with a fiducial cosmological model…

天体物理学 · 物理学 2008-11-26 Zheng Zheng , David H. Weinberg

We perform the first application of the wavelet scattering transform (WST) to actual galaxy observations, through a WST analysis of the BOSS DR12 CMASS dataset. We included the effects of redshift-space anisotropy, non-trivial survey…

宇宙学与河外天体物理 · 物理学 2022-11-15 Georgios Valogiannis , Cora Dvorkin

We discuss the derivation of the analytic properties of the cross-power spectrum estimator from multi-detector CMB anisotropy maps. The method is computationally convenient and it provides unbiased estimates under very broad assumptions. We…

天体物理学 · 物理学 2007-05-23 G. Polenta , D. Marinucci , A. Balbi , P. de Bernardis , E. Hivon , S. Masi , P. Natoli , N. Vittorio

We revisit a recently introduced power spectrum estimation technique based on Gibbs sampling, with the goal of applying it to the high-resolution WMAP data. In order to facilitate this analysis, a number of sophistications have to be…

We examine the signature of dynamic (redshift-space) distortions and geometric distortions (including the Alcock-Paczynski effect) in the context of the galaxy power spectrum measured in upcoming galaxy redshift surveys. Information comes…

宇宙学与河外天体物理 · 物理学 2014-04-03 Jonathan Blazek , Uroš Seljak , Zvonimir Vlah , Teppei Okumura

We study the biasing relation between dark-matter halos or galaxies and the underlying mass distribution, using cosmological $N$-body simulations in which galaxies are modelled via semi-analytic recipes. The nonlinear, stochastic biasing is…

天体物理学 · 物理学 2009-09-25 R. S. Somerville , G. Lemson , Y. Sigad , A. Dekel , G. Kauffmann , S. D. M. White

This review presents a comprehensive overview of galaxy bias, that is, the statistical relation between the distribution of galaxies and matter. We focus on large scales where cosmic density fields are quasi-linear. On these scales, the…

宇宙学与河外天体物理 · 物理学 2019-01-15 Vincent Desjacques , Donghui Jeong , Fabian Schmidt

We use a combination of full hydrodynamic and dark matter only simulations to investigate the effect that baryonic physics and selecting super-cluster regions have on the matter power spectrum, by re-simulating a sample of super-cluster…

宇宙学与河外天体物理 · 物理学 2017-10-31 Aaron Peters , Michael L. Brown , Scott T. Kay , David J. Barnes

The power spectrum of density fluctuations measured from galaxy redshift surveys provides important constraints on models for the formation of large-scale structure. I present new results for a redshift sample of 15,000 galaxies, and review…

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

We investigate the range of applicability of a model for the real-space power spectrum based on N-body dynamics and a (quadratic) Lagrangian bias expansion. This combination uses the highly accurate particle displacements that can be…

宇宙学与河外天体物理 · 物理学 2020-02-05 Chirag Modi , Shi-Fan Chen , Martin White

We test estimators of the galaxy power spectrum $P(k)$ against simulated galaxy catalogues constructed from N-body simulations and we derive formulae to correct for biases. These estimators are then applied to compute the power spectrum of…

天体物理学 · 物理学 2015-06-24 H. Tadros , G. Efstathiou

We compute the matter bispectrum in the presence of primordial local non-Gaussianity over a wide range of scales, including the very small nonlinear ones. We use the Halo Model approach, considering non-Gaussian corrections to the halo…

宇宙学与河外天体物理 · 物理学 2015-06-05 D. G. Figueroa , E. Sefusatti , A. Riotto , F. Vernizzi

We use the direct Fourier method to calculate the redshift-space power spectrum of the maxBCG cluster catalog -- currently by far the largest existing galaxy cluster sample. The total number of clusters used in our analysis is 12,616. After…

宇宙学与河外天体物理 · 物理学 2015-05-14 Gert Huetsi

Upcoming imaging surveys will allow for high signal-to-noise measurements of galaxy clustering at small scales. In this work, we present the results of the LSST bias challenge, the goal of which is to compare the performance of different…

We present a series of full-shape analyses of galaxy power spectrum multipole measurements from the 6dFGS, BOSS, and eBOSS galaxy surveys. We use an emulated effective field theory of large-scale structure (EFTofLSS) model to conduct these…

宇宙学与河外天体物理 · 物理学 2023-10-13 Jamie Donald-McCann , Rafaela Gsponer , Ruiyang Zhao , Kazuya Koyama , Florian Beutler
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