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We estimate the mass of the Large Magellanic Cloud (LMC) using the kinematics of 30 LMC globular clusters (GCs). We combine proper motions (PMs) measured with HST, Gaia, or a combination of the two, from a recent study by Bennet et al.…

星系天体物理 · 物理学 2024-01-29 Laura L. Watkins , Roeland P. van der Marel , Paul Bennet

The weak lensing power spectrum is a powerful tool to probe cosmological parameters. Additionally, lensing peak counts contain cosmological information beyond the power spectrum. Both of these statistics can be affected by the preferential…

宇宙学与河外天体物理 · 物理学 2014-03-07 Jia Liu , Zoltán Haiman , Lam Hui , Jan M. Kratochvil , Morgan May

The exponential scale length ($L_d$) of the Milky Way's (MW's) disk is a critical parameter for describing the global physical size of our Galaxy, important both for interpreting other Galactic measurements and helping us to understand how…

星系天体物理 · 物理学 2016-11-08 Timothy C. Licquia , Jeffrey A. Newman

The two-point statistics of the cosmic velocity field, measured from galaxy peculiar velocity (PV) surveys, can be used as a dynamical probe to constrain the growth rate of large-scale structures in the universe. Most works use the…

宇宙学与河外天体物理 · 物理学 2024-03-07 Motonari Tonegawa , Stephen Appleby , Changbom Park , Sungwook E. Hong , Juhan Kim

We present a theoretical framework for calculating the volume filling fraction of galactic outflows in cosmic voids by integrating analytical models for the halo mass function (HMF), the halo occupation fraction, the stellar mass-halo mass…

星系天体物理 · 物理学 2025-09-05 Yue Pan , Romain Teyssier , Ulrich P. Steinwandel , Alice Pisani

Accurate inference of cosmology from weak lensing shear requires an accurate shear power spectrum covariance matrix. Here, we investigate this accuracy requirement and quantify the relative importance of the Gaussian (G), super-sample…

宇宙学与河外天体物理 · 物理学 2018-12-20 Alexandre Barreira , Elisabeth Krause , Fabian Schmidt

In a binary merger of two subclusters with comparable masses, a pair of merger shocks are typically generated, often manifesting as double radio relics. Using cosmological hydrodynamic simulations, we identify major merger events with mass…

星系天体物理 · 物理学 2024-12-03 Eunyu Lee , Dongsu Ryu , Hyesung Kang

We report a detection of the coherent distortion of faint galaxies arising from gravitational lensing by foreground structures. This ``cosmic shear'' is potentially the most direct measure of the mass power spectrum, as it is unaffected by…

天体物理学 · 物理学 2011-05-05 David Bacon , Alexandre Refregier , Richard Ellis

We study cosmic shear statistics using the ray-tracing simulation combined with a set of large $N$-body simulations. In this contribution, we first describe our method. Then we show some selected results especially focusing on effects of…

天体物理学 · 物理学 2009-10-31 Takashi Hamana , Stephane Colombi , Yannick Mellier

We have compared the bulk flow of recent large-scale peculiar velocity surveys (SMAC, SC, Lauer and Postman, Willick, EFAR and Tonry's SNIa sample) to each other, allowing for the errors due to sparse sampling. We conclude that, contrary to…

天体物理学 · 物理学 2007-05-23 Michael J Hudson

Context. Explaining the accelerated expansion of the Universe is one of the fundamental challenges in physics today. Cosmography provides information about the evolution of the universe derived from measured distances, assuming only that…

宇宙学与河外天体物理 · 物理学 2016-10-05 Marek Demianski , Ester Piedipalumbo , Disha Sawant , Lorenzo Amati

Weak lensing by large-scale structure is a powerful probe of cosmology and of the dark universe. This cosmic shear technique relies on the accurate measurement of the shapes and redshifts of background galaxies and requires precise control…

We provide a method for estimating the projected density distribution $\bar{n}_2w_p(r_p)$ of photometric objects around spectroscopic objects in a redshift survey. This quantity describes the distribution of Photometric sources with certain…

星系天体物理 · 物理学 2022-01-27 Kun Xu , Yun Zheng , Yipeng Jing

The upcoming XMM Large Scale Structure Survey (XMM-LSS) will ultimately provide a unique mapping of the distribution of X-ray sources in a contiguous 64 sq. deg. region. In particular, it will provide the 3-dimensional location of about 900…

天体物理学 · 物理学 2009-11-07 Alexandre Refregier , Ivan Valtchanov , Marguerite Pierre

Nowadays, the calculation of the Galactic Cosmic Rays diffusion coefficient with direct microscopic numerical simulations is a widespread approach. In this work, we investigated the numerical limits for such calculations and demonstrated…

天体物理仪器与方法 · 物理学 2026-05-14 Vladimir Yurovsky , Ilya Kudryashov

The primary science driver for 3D galaxy surveys is their potential to constrain cosmological parameters. Forecasts of these surveys' effectiveness typically assume Gaussian statistics for the underlying matter density, despite the fact…

宇宙学与河外天体物理 · 物理学 2015-10-27 Andrew Repp , István Szapudi , Julien Carron , Melody Wolk

We present measurements of the cosmic shear correlation in the shapes of galaxies in the Suprime-Cam 2.1 deg^2 R_c-band imaging data. As an estimator of the shear correlation originated from the gravitational lensing, we adopt the aperture…

We consider how upcoming photometric large scale structure surveys can be optimized to measure the properties of dark energy and possible cosmic scale modifications to General Relativity in light of realistic astrophysical and instrumental…

宇宙学与河外天体物理 · 物理学 2017-03-08 Donnacha Kirk , Istvan Laszlo , Sarah Bridle , Rachel Bean

We present a fast Markov Chain Monte-Carlo exploration of cosmological parameter space. We perform a joint analysis of results from recent CMB experiments and provide parameter constraints, including sigma_8, from the CMB independent of…

天体物理学 · 物理学 2008-11-26 Antony Lewis , Sarah Bridle

The computational cost in evaluation of the volume of a body using numerical integration grows exponentially with dimension of the space $n$. The most generally applicable algorithms for estimating $n$-volumes and integrals are based on…

数值分析 · 数学 2021-06-21 Arun I. , Murugesan Venkatapathi