A5068679208- Astronomy and Astrophysical Research
- Galaxies: Formation, Evolution, Phenomena
- Dark Matter and Cosmic Phenomena
- Scientific Research and Discoveries
- Stellar, planetary, and galactic studies
- Fluid Dynamics and Vibration Analysis
- Astrophysics and Cosmic Phenomena
- Fluid Dynamics Simulations and Interactions
- Plant responses to water stress
- Remote Sensing in Agriculture
Max Planck Institute for Astrophysics
2009-2014
Max Planck Society
2014
Sorbonne Université
2009
Centre National de la Recherche Scientifique
2009
Institut d'Astrophysique de Paris
2009
[abridged] We present a detailed comparison of fundamental dark matter halo properties retrieved by substantial number different finders. These codes span wide range techniques including friends-of-friends (FOF), spherical-overdensity (SO) and phase-space based algorithms. further introduce robust (and publicly available) suite test scenarios that allows finder developers to compare the performance their against those presented here. This set includes mock haloes containing various levels...
The ever increasing size and complexity of data coming from simulations cosmic structure formation demands equally sophisticated tools for their analysis. During the past decade, art object finding in these has hence developed into an important discipline itself. A multitude codes based upon a huge variety methods techniques have been spawned yet question remained as to whether or not they will provide same (physical) information about structures interest. Here we summarize extent previous...
We present a detailed comparison of the substructure properties single Milky Way sized dark matter halo from Aquarius suite at five different resolutions, as identified by variety (sub)halo finders for simulations cosmic structure formation. These span wide range techniques and methodologies to extract quantify substructures within larger non-homogeneous background density (e.g. host halo). This includes real-space-, phase-space-, velocity-space- time-space-based finders, well employing...
A new multi-dimensional Hierarchical Structure Finder (HSF) to study the phase-space structure of dark matter in N-body cosmological simulations is presented. The algorithm depends mainly on two parameters, which control level connectivity detected structures and their significance compared Poisson noise. By working 6D phase-space, where contrasts are much more pronounced than 3D position space, our HSF capable detecting subhaloes including tidal tails, can recognise other such as pure...
We analyse the coarse-grained phase-space structure of six Galaxy-scale dark matter haloes Aquarius Project using a state-of-the-art 6D substructure finder. Within r_50, we find that about 35% mass is in identifiable substructures, predominantly tidal streams, but including 14% self-bound subhaloes. The slope differential function close to -2, which should be compared around -1.9 for population Near r_50 60% with 30% inner 35 kpc highest resolution simulation has only 0.5% its subhaloes,...
This paper reviews and analyses methods used to identify neighbours in 6D space estimate the corresponding phase-space density. It compares SPH Delaunay tessellation on statical dynamical realisation of single halo profiles, paying attention unknown scaling, S_G, relate spatial dimensions velocity dimensions. The with local adaptive metric provide best estimators. They make use a Shannon entropy criterion combined binary tree partitioning interpolation using 10-40 neighbours. Local scaling...
We study the shapes of subhalo distributions from four dark-matter-only simulations Milky Way-type haloes. Comparing derived at high resolution to those underlying dark matter fields, we find former be more triaxial if analysis is restricted massive subhaloes. For three analysed haloes, increased triaxiality subhaloes can explained by a systematic effect caused low number objects. Subhaloes fourth halo show indications for anisotropic accretion via their strong distribution and orbit...