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相关论文: Beyond Linear Bias Expansions for AbacusSummit Hal…

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High- to ultrahigh-redshift clustering of halos provides a powerful tool to understand cosmology and galaxy formation. However, theoretical predictions are not firmly established in the first billion years, where current and upcoming…

宇宙学与河外天体物理 · 物理学 2026-04-17 Kuan Wang , Julian B. Muñoz , L. Y. Aaron Yung

We determine the error introduced in a joint halo model analysis of galaxy-galaxy lensing and galaxy clustering observables when adopting the standard approximation of linear halo bias. Considering the Kilo-Degree Survey, we forecast that…

We incorporate the non-linear clustering of dark matter halos, as modelled by Jose et al. (2016) into the halo model to better understand the clustering of Lyman break galaxies (LBGs) in the redshift range $z=3-5$. We find that, with this…

宇宙学与河外天体物理 · 物理学 2017-06-28 Charles Jose , Carlton M. Baugh , Cedric G. Lacey , Kandaswamy Subramanian

We investigate the spatial clustering of dark matter halos, collapsing from $1-4 \sigma$ fluctuations, in the redshift range $0 - 5$ using N-body simulations. The halo bias of high redshift halos ($z \geq 2$) is found to be strongly…

宇宙学与河外天体物理 · 物理学 2016-07-19 Charles Jose , Cedric G. Lacey , Carlton M. Baugh

The statistics of peaks of the initial, Gaussian density field can be used to interpret the abundance and clustering of massive dark matter haloes. I discuss some recent theoretical results related to their clustering and its redshift…

宇宙学与河外天体物理 · 物理学 2010-05-10 Vincent desjacques

In preparation for deep extragalactic imaging with the James Webb Space Telescope, we explore the clustering of massive halos at $z=8$ and $10$ using a large N-body simulation. We find that halos with masses $10^9$ to $10^{11}$…

宇宙学与河外天体物理 · 物理学 2017-12-18 Hao Zhang , Daniel J. Eisenstein , Lehman H. Garrison , Douglas W. Ferrer

We develop the halo model of large-scale structure as an accurate tool for probing primordial non-Gaussianity. In this study we focus on understanding the matter clustering at several redshifts. The primordial non-Gaussianity is modeled as…

宇宙学与河外天体物理 · 物理学 2011-08-09 Robert E. Smith , Vincent Desjacques , Laura Marian

Models of the spatial distribution of dark matter halos must achieve new levels of precision and accuracy in order to satisfy the requirements of upcoming experiments. In this work, we present a halo bias emulator for modeling the…

The joint analysis of clustering and stacked gravitational lensing of galaxy clusters in large surveys can constrain the formation and evolution of structures and the cosmological parameters. On scales outside a few virial radii, the halo…

宇宙学与河外天体物理 · 物理学 2015-06-23 Mauro Sereno , Alfonso Veropalumbo , Federico Marulli , Giovanni Covone , Lauro Moscardini , Andrea Cimatti

We study the clustering of the highest-z galaxies (from ~ $0.1$ to a few tens Mpc scales) using the BLUETIDES simulation and compare it to current observational constraints from Hubble legacy and Hyper Suprime Cam (HSC) fields (at…

宇宙学与河外天体物理 · 物理学 2017-12-29 Aklant Kumar Bhowmick , Tiziana Di Matteo , Yu Feng , Francois Lanusse

Lyman-Break Galaxy (LBG) samples observed during reionization ($z\gtrsim6$) with Hubble Space Telescope's Wide Field Camera 3 are reaching sizes sufficient to characterize their clustering properties. Using a combined catalog from the…

The halo model provides a powerful framework for interpreting galaxy clustering by linking the spatial distribution of dark matter haloes to the underlying matter distribution. A key assumption within the halo bias approximation of the halo…

宇宙学与河外天体物理 · 物理学 2026-02-02 Emy Mons , Vipul Prasad Maranchery , M. S. Suryan Sivadas , Charles Jose

We study the evolution of the halo-halo correlation function and bias in four cosmological models (LCDM, OCDM, tauCDM, and SCDM) using very high-resolution N-body simulations. The high force and mass resolution allows dark matter (DM) halos…

天体物理学 · 物理学 2009-10-30 Pedro Colin , Anatoly Klypin , Andrey Kravtsov , Alexei Khokhlov

We present a novel approach for measuring the two-point correlation function of galaxies in narrow pencil beam surveys with varying depths. Our methodology is utilized to expand high-redshift galaxy clustering investigations up to $z \sim…

星系天体物理 · 物理学 2024-08-21 Nicolò Dalmasso , Michele Trenti , Nicha Leethochawalit

We consider the description of the clustering of halos for physically-motivated types of non-Gaussian initial conditions. In particular we include non-Gaussianity of the type arising from single field slow-roll, multi fields, curvaton…

宇宙学与河外天体物理 · 物理学 2014-11-20 Licia Verde , Sabino Matarrese

We investigate the evolution of galaxy clustering for galaxies in the redshift range 2.0<$z$<5.0 using the VIMOS Ultra Deep Survey (VUDS). We present the projected (real-space) two-point correlation function $w_p(r_p)$ measured by using…

We build a simple analytical model for the bias of dark matter halos that applies to objects defined by an arbitrary density threshold, $200\leq\deltas\leq 1600$, and that provides accurate predictions from low-mass to high-mass halos. We…

宇宙学与河外天体物理 · 物理学 2015-05-19 Patrick Valageas

We present a non-parametric Lagrangian biasing model and fit the ratio of the halo and mass densities at the field level using the mass-weighted halo field in the AbacusSummit simulations at $z=0.5$. Unlike the perturbative halo bias model…

宇宙学与河外天体物理 · 物理学 2022-02-09 Xiaohan Wu , Julian B. Munoz , Daniel Eisenstein

We present a physically motivated semi-analytic model to understand the clustering of high redshift LBGs. We show that the model parameters constrained by the observed luminosity function, can be used to predict large scale (\theta > 80…

宇宙学与河外天体物理 · 物理学 2015-06-11 Charles Jose , Kandaswamy Subramanian , Raghunathan Srianand , Saumyadip Samui

We explore the clustering properties of high redshift dark matter halos, focusing on halos massive enough to host early generations of stars or galaxies at redshift 10 and greater. Halos are extracted from an array of dark matter…

天体物理学 · 物理学 2009-11-13 Darren S. Reed , Richard Bower , Carlos S. Frenk , Adrian Jenkins , Tom Theuns
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