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The study of the kinematics of globular clusters (GCs) offers the possibility of unveiling their long term evolution and uncovering their yet unknown formation mechanism. Gaia DR2 has strongly revitalized this field and enabled the…

星系天体物理 · 物理学 2020-03-18 P. Bianchini

Viscous unified dark matter models aim to describe the dark sector of the Universe, as the dark matter fluid itself gives rise to an accelerated expansion due to a negative bulk viscous pressure. However, in most studies, radiation is often…

广义相对论与量子宇宙学 · 物理学 2024-06-19 Guillermo Palma , Gabriel Gomez , Norman Cruz

Context. Current constraints on distributed matter in the innermost Galactic Centre (such as a cluster of faint stars and stellar remnants, Dark Matter or a combination thereof) based on the orbital dynamics of the visible stars closest to…

星系天体物理 · 物理学 2024-06-12 Thibault Lechien , Gernot Heißel , Jai Grover , Dario Izzo

(abridged) We utilize existing imaging and spectroscopic data for the galaxy clusters MS2137-23 and Abell 383 to present improved measures of the distribution of dark and baryonic material in the clusters' central regions. Our method, based…

天体物理学 · 物理学 2009-11-13 D. J. Sand , T. Treu , R. S. Ellis , G. P. Smith , J-P Kneib

Dwarf galaxies, among the most dark matter dominated structures of our universe, are excellent test-beds for dark matter theories. Unfortunately, mass modelling of these systems suffers from the well documented mass-velocity anisotropy…

We present the mass distribution of a sample of 121 nearby galaxies with high quality optical velocity fields and available infra-red $\it{WISE}$ 3.4 $\mu$m data. Contrary to previous studies, this sample covers all morphological types and…

星系天体物理 · 物理学 2018-05-02 Marie Korsaga , Claude Carignan , Philippe Amram , Benoit Epinat , Tom Jarrett

Recent studies have identified star clusters with multiple components based on accurate spatial distributions and/or proper motions from Gaia DR3, utilising diverse diagnostics to improve our understanding of subgroup evolution. These…

太阳与恒星天体物理 · 物理学 2024-08-02 J. Gregorio-Hetem , A. Hetem

Mixture model-based frameworks are very popular for statistical inference in clustering. While convenient for producing probabilistic estimates of cluster assignments and uncertainty, they are prone to misspecification, which can lead to…

统计理论 · 数学 2026-05-15 Yu Zheng , Leo L. Duan , Arkaprava Roy

We present the results of a comprehensive analysis of the structure and kinematics of six Galactic globular clusters. By comparing the results of the most extensive photometric and kinematical surveys available to date with suited dynamical…

星系天体物理 · 物理学 2015-06-05 A. Sollima , M. Bellazzini , J. -W. Lee

We analyse the kinematics and dynamics of a homogeneous sample of red clump stars selected from the second Gaia data release catalogue in the direction of the Galactic poles. The level of completeness of the sample at heights between 0.6…

星系天体物理 · 物理学 2020-11-11 Jean-Baptiste Salomon , Olivier Bienaymé , Céline Reylé , Annie C. Robin , Benoit Famaey

Bayesian model-based clustering is a widely applied procedure for discovering groups of related observations in a dataset. These approaches use Bayesian mixture models, estimated with MCMC, which provide posterior samples of the model…

统计方法学 · 统计学 2018-09-24 Ketong Wang , Michael D. Porter

We develop a novel statistical strong lensing approach to probe the cosmological parameters by exploiting multiple redshift image systems behind galaxies or galaxy clusters. The method relies on free-form mass inversion of strong lenses and…

宇宙学与河外天体物理 · 物理学 2015-06-17 M. Lubini , M. Sereno , J. Coles , Ph. Jetzer , P. Saha

The large scale distribution of galaxies in the universe displays a complex pattern of clusters, super-clusters, filaments and voids with sizes limited only by the boundaries of the available samples. A quantitative statistical…

宇宙学与河外天体物理 · 物理学 2015-05-20 Francesco Sylos Labini , Luciano Pietronero

Computer vision tasks are difficult because of the large variability in the data that is induced by changes in light, background, partial occlusion as well as the varying pose, texture, and shape of objects. Generative approaches to…

计算机视觉与模式识别 · 计算机科学 2018-11-30 Adam Kortylewski , Mario Wieser , Andreas Morel-Forster , Aleksander Wieczorek , Sonali Parbhoo , Volker Roth , Thomas Vetter

Large area surveys have detected significant samples of galaxy clusters that can be used to constrain cosmological parameters, provided that the masses of the clusters are measured robustly. To improve the calibration of cluster masses…

The Large Magellanic Cloud (LMC) has a complex dynamics driven by both internal and external processes. The external forces are due to tidal interactions with the Small Magellanic Cloud and the Milky Way, while internally its dynamics…

星系天体物理 · 物理学 2023-05-19 Nikolay Kacharov , Maria-Rosa L. Cioni

Based on the photometric properties of NGC 6822 we derive a robust star formation history. Adopting this history we compute 15 models of galactic chemical evolution. All of them match present-day photometric properties. The dark halo mass…

天体物理学 · 物理学 2009-11-13 Leticia Carigi , Pedro Colin , Manuel Peimbert

The different regimes of gravitational lensing constitutes an interesting tool in order to map the mass distribution in galaxy clusters on different scales. In this proceedings article, I review some work I have performed on this topic.…

天体物理学 · 物理学 2008-07-18 Marceau Limousin

Analyzes of next-generation galaxy data require accurate treatment of systematic effects such as the bias between observed galaxies and the underlying matter density field. However, proposed models of the phenomenon are either numerically…

宇宙学与河外天体物理 · 物理学 2021-04-28 Guilhem Lavaux , Jens Jasche

We present a detailed analysis of the baryonic and dark matter distribution in the lensing cluster Abell 611 (z=0.288), with the goal of determining the dark matter profile over an unprecedented range of cluster-centric distance. By…

宇宙学与河外天体物理 · 物理学 2014-11-20 A. B. Newman , T. Treu , R. S. Ellis , D. J. Sand , J. Richard , P. J. Marshall , P. Capak , S. Miyazaki
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