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We propose an improved methodology to constrain spatial variations of the fine structure constant using clusters of galaxies. We use the {\it Planck} 2013 data to measure the thermal Sunyaev-Zeldovich effect at the location of 618 X-ray…

Cosmology and Nongalactic Astrophysics · Physics 2016-11-02 I. de Martino , C. J. A. P. Martins , H. Ebeling , D. Kocevski

A numerical algorithm for solving mantle convection problems with strongly variable viscosity is presented. Equations for conservation of mass and momentum for highly viscous and incompressible fluids are solved iteratively by a multigrid…

Geophysics · Physics 2009-11-10 Masanori Kameyama , Akira Kageyama , Tetsuya Sato

Particle filtering methods are widely applied in sequential state estimation within nonlinear non-Gaussian state space model. However, the traditional particle filtering methods suffer the weight degeneracy in the high-dimensional state…

Computation · Statistics 2021-11-22 Yu Han , Kazuyuki Nakamura

We present and compare third- as well as fifth-order accurate finite difference schemes for the numerical solution of the compressible ideal MHD equations in multiple spatial dimensions. The selected methods lean on four different…

High Energy Astrophysical Phenomena · Physics 2015-05-18 A. Mignone , P. Tzeferacos , G. Bodo

We investigate fully self-consistent multiscale quantum-classical algorithms on current generation superconducting quantum computers, in a unified approach to tackle the correlated electronic structure of large systems in both quantum…

We improve upon the cosmological constraints derived from the abundance and weak-lensing data of redMaPPer clusters detected in the Sloan Digital Sky Survey (SDSS). Specifically, we derive gas mass data using Chandra X-ray follow-up of a…

In this paper, we propose a unified framework for sampling, clustering and embedding data points in semi-metric spaces. For a set of data points $\Omega=\{x_1, x_2, \ldots, x_n\}$ in a semi-metric space, we consider a complete graph with…

Social and Information Networks · Computer Science 2017-08-02 Chia-Tai Chang , Cheng-Shang Chang

We present a practical guide to Smoothed Particle Hydrodynamics (\SPH) and its application to astrophysical problems. Although remarkably robust, \SPH\ must be used with care if the results are to be meaningful since the accuracy of \SPH\…

Astrophysics · Physics 2007-05-23 T. J. Martin , F. R. Pearce , P. A. Thomas

In this paper, we examine the convergence of mirror descent in a class of stochastic optimization problems that are not necessarily convex (or even quasi-convex), and which we call variationally coherent. Since the standard technique of…

Optimization and Control · Mathematics 2018-07-17 Zhengyuan Zhou , Panayotis Mertikopoulos , Nicholas Bambos , Stephen Boyd , Peter Glynn

This work, together with its companion paper, Secco and Samuroff et al. (2021), presents the Dark Energy Survey Year 3 cosmic shear measurements and cosmological constraints based on an analysis of over 100 million source galaxies. With the…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-03 A. Amon , D. Gruen , M. A. Troxel , N. MacCrann , S. Dodelson , A. Choi , C. Doux , L. F. Secco , S. Samuroff , E. Krause , J. Cordero , J. Myles , J. DeRose , R. H. Wechsler , M. Gatti , A. Navarro-Alsina , G. M. Bernstein , B. Jain , J. Blazek , A. Alarcon , A. Ferté , M. Raveri , P. Lemos , A. Campos , J. Prat , C. Sánchez , M. Jarvis , O. Alves , F. Andrade-Oliveira , E. Baxter , K. Bechtol , M. R. Becker , S. L. Bridle , H. Camacho , A. Campos , A. Carnero Rosell , M. Carrasco Kind , R. Cawthon , C. Chang , R. Chen , P. Chintalapati , M. Crocce , C. Davis , H. T. Diehl , A. Drlica-Wagner , K. Eckert , T. F. Eifler , J. Elvin-Poole , S. Everett , X. Fang , P. Fosalba , O. Friedrich , G. Giannini , R. A. Gruendl , I. Harrison , W. G. Hartley , K. Herner , H. Huang , E. M. Huff , D. Huterer , N. Kuropatkin , P. -F. Leget , A. R. Liddle , J. McCullough , J. Muir , S. Pandey , Y. Park , A. Porredon , A. Refregier , R. P. Rollins , A. Roodman , R. Rosenfeld , A. J. Ross , E. S. Rykoff , J. Sanchez , I. Sevilla-Noarbe , E. Sheldon , T. Shin , A. Troja , I. Tutusaus , T. N. Varga , N. Weaverdyck , B. Yanny , B. Yin , Y. Zhang , J. Zuntz , M. Aguena , S. Allam , J. Annis , D. Bacon , E. Bertin , S. Bhargava , D. Brooks , E. Buckley-Geer , D. L. Burke , J. Carretero , M. Costanzi , L. N. da Costa , M. E. S. Pereira , J. De Vicente , S. Desai , J. P. Dietrich , P. Doel , I. Ferrero , B. Flaugher , J. Frieman , J. García-Bellido , E. Gaztanaga , D. W. Gerdes , T. Giannantonio , J. Gschwend , G. Gutierrez , S. R. Hinton , D. L. Hollowood , K. Honscheid , B. Hoyle , D. J. James , R. Kron , K. Kuehn , O. Lahav , M. Lima , H. Lin , M. A. G. Maia , J. L. Marshall , P. Martini , P. Melchior , F. Menanteau , R. Miquel , J. J. Mohr , R. Morgan , R. L. C. Ogando , A. Palmese , F. Paz-Chinchón , D. Petravick , A. Pieres , A. A. Plazas Malagón , A. K. Romer , E. Sanchez , V. Scarpine , M. Schubnell , S. Serrano , M. Smith , M. Soares-Santos , E. Suchyta , G. Tarle , D. Thomas , C. To , J. Weller

We place constraints on the matter density of the Universe and the amplitude of clustering using measurements of the galaxy two-point correlation function from the Sloan Digital Sky Survey (SDSS). We generate model predictions for different…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-12 Vimal Simha , Shaun Cole

We explore strategies to extract cosmological constraints from a joint analysis of cosmic shear, galaxy-galaxy lensing, galaxy clustering, cluster number counts and cluster weak lensing. We utilize the CosmoLike software to simulate results…

Cosmology and Nongalactic Astrophysics · Physics 2017-07-26 Elisabeth Krause , Tim Eifler

We have performed Smoothed Particle Magneto-Hydrodynamics (SPMHD) calculations of colliding clouds to investigate the formation of massive stellar clusters, adopting a timestep criterion to prevent large divergence errors. We find that…

Astrophysics of Galaxies · Physics 2021-02-03 C. L. Dobbs , J. Wurster

We extend the recently introduced explicit divergence-free DG scheme for incompressible hydrodynamics [arXiv:1808.04669]. to the incompressible magnetohydrodynamics (MHD). A globally divergence-free finite element space is used for both the…

Numerical Analysis · Mathematics 2018-08-27 Guosheng Fu

The ambient hot intra-halo gas in clusters of galaxies is constantly fed and stirred by in-falling galaxies, a process that can be studied in detail with cosmological hydro- dynamical simulations. However, different numerical methods yield…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 Steffen Heß , Volker Springel

We assess the validity of a single step Godunov scheme for the solution of the magneto-hydrodynamics equations in more than one dimension. The scheme is second-order accurate and the temporal discretization is based on the dimensionally…

Instrumentation and Methods for Astrophysics · Physics 2014-11-20 A. Mignone , P. Tzeferacos

Smoothed particle hydrodynamics (SPH) has been extensively studied in computer graphics to animate fluids with versatile effects. However, SPH still suffers from two numerical difficulties: the particle deficiency problem, which will…

Graphics · Computer Science 2020-01-29 Xiaowei He , Huamin Wang , Guoping Wang , Hongan Wang , Enhua Wu

We present the first cosmological constraints from a joint analysis of galaxy clustering and galaxy-galaxy lensing using extended SubHalo Abundance Matching (SHAMe). We analyse stellar mass-selected Galaxy And Mass Assembly (GAMA) galaxy…

Cosmology and Nongalactic Astrophysics · Physics 2026-03-27 Constance Mahony , Sergio Contreras , Raul E. Angulo , David Alonso , Christos Georgiou , Andrej Dvornik

In the context of intra-cluster medium turbulence, it is essential to be able to split the turbulent velocity field in a compressive and a solenoidal component. We describe and implement a new method for this aim, i.e., performing a…

Instrumentation and Methods for Astrophysics · Physics 2021-03-02 David Vallés-Pérez , Susana Planelles , Vicent Quilis

This paper proposes a novel technique called "successive stochastic smoothing" that optimizes nonsmooth and discontinuous functions while considering various constraints. Our methodology enables local and global optimization, making it a…

Optimization and Control · Mathematics 2023-08-17 Vladimir Norkin , Alois Pichler , Anton Kozyriev
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