Changes between Version 64 and Version 65 of u/EricasLibrary


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Timestamp:
05/13/15 15:48:43 (10 years ago)
Author:
Erica Kaminski
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  • u/EricasLibrary

    v64 v65  
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    4 [[CollapsibleStart(Truelove, Klein, Mc Kee, et al. (‘98) - AMR)]]
     4'''AMR'''
    55
    6 [http://iopscience.iop.org/0004-637X/495/2/821/pdf/36882.pdf Self-Gravitational hydrodynamics with 3d AMR: methodolgy and applications to molecular cloud collapse and fragmentation.]
     6-Self-Gravitational hydrodynamics with 3d AMR: methodolgy and applications to molecular cloud collapse and fragmentation. [http://iopscience.iop.org/0004-637X/495/2/821/pdf/36882.pdf Truelove, Klein, Mc Kee, et al. (‘98)]
     7
     8'''Sink Particles'''
     9
     10-Modeling Collapse and Accretion in Turbulent Gas Clouds: Implementation and Comparison of Sink Particles in AMR and SPHF[http://adsabs.harvard.edu/abs/2010ApJ...713..269F Fedderath, et al. (‘10)]
    711
    812
    9 === Summary ===
    10 Develops methods for AMR, dynamic grids that allot finer resolution over many length scales that is imperative for studying problems of gravitational collapse. The criteria for refinement is crucial, and it is the jeans condition. This sets the resolution smaller than the local Jean’s condition, allowing new benchmarks in the probing of the dynamics. They find uniformly rotating spherical clouds to collapse along the equatorial plane. When perturbed, these form ‘filamentary singularties’ that don’t fragment when isothermal.
     13'''Self Similarity Solutions for Collapse'''
    1114
    12 === Methodology ===
    13 This paper goes through in extensive detail on the 3 components of their code methodology: the hyperbolic solvers that employ the Gudonov method for solution of the hydro equations,  elliptic solvers that utilize AMR multigrid method to solve Poisson’s equation, and finally these two methods operation within an AMR framework. The use of stencils as different layers of cell-centered quantities used for averaging the node centered quantities (for self - gravity) is detailed. Paper refers to Almgren for discussion on AMR multigrid cycle procedures.
    14 
    15 === AMR and refinement criteria ===
    16 
    17 Paper refers to Pember et al. (‘98) for a summary of the procedure for advancing grids. Their methods are based on Berger and Oliger (‘84), Berger and Collela (‘89), and Bell et al. (‘94).
    18 
    19 To trigger refinement from level 0 to level 1, the code employs a density criterion to cells that contain gas of the original cloud. Such cells are identified if they contain a density greater than or equal to 1/2 the original cloud density at the outer edge. This results in the level 0 cells effectively removing the boundary of the computational volume from the surface of the cloud. Jean's condition is than used for refinement to 2nd and higher levels (discussed below).
    20 
    21 
    22 === The Truelove criteria ===
    23 
    24 Jeans' analysis of the linearized 1D gravitohydrodynamic (GHD) equations of a medium of infinite extent lead to the expression for the jeans length:
    25 
    26 {{{#!latex
    27 $ \lambda_j  = (\frac{\pi c_s^2}{G \rho})^{1/2}$
    28 }}}
    29 
    30 which showed that perturbations that are larger than this are gravitationally unstable and collapse. Truelove ('97) showed that these instabilities can be triggered from numerical errors of the GHD solvers. Errors introduced on the cell scale at coarser grids can be transmitted to finer levels and can lead to 'artificial fragmentation'. A way to avoid this is to maintain resolution of the local jeans length. By defining:
    31 
    32 {{{#!latex
    33 $ J =  \frac{\triangle x}{\lambda_j} $
    34 }}}
    35 
    36 Truelove ('97) showed that keeping
    37 
    38 {{{#!latex
    39 $ J \leqq 0.25$ 
    40 }}}
    41 
    42 prevented artificial fragmentation of an isothermal cloud spanning 7 decades of density. It is expected to be necessary albeit not necessarily sufficient for isothermal collapse. By not having the resolution of gradients can trigger artificial viscosity (used for numerical stability), which can lead to an incorrect formulation of the problem originally deemed inviscid.
    43  
    44 
    45 
    46 === Poisson's boundary conditions ===
    47 
    48 The boundary condition they employ for self-gravity is periodic. They describe this as mimicking an infinite region of repeating boxes. Thus, when they model a cloud in the box using these boundary conditions, the solver for the gravity within this box, takes into account the gravitational effects of an infinite number of other spheres in boxes. To minimize the effect of these other spheres, they suggest making the distance between the center-to-center images d=4R. By increasing the d=8R, results in less gravitational pull by the mirrored clouds that hastens the collapse by only 1%.
    49 
    50 [[CollapsibleEnd]]
    51 
    52  
    53 
    54 [[CollapsibleStart(Fedderath, et al. (‘10) - Sink Particles)]]
    55 
    56 [http://adsabs.harvard.edu/abs/2010ApJ...713..269F Modeling Collapse and Accretion in Turbulent Gas Clouds: Implementation and Comparison of Sink Particles in AMR and SPH]
    57 
    58 === Background ===
    59 
    60 The numerical difficulty with modeling the collapse of a clump, while keeping track of the entire cloud, is given by the fact that the free-fall time, Tff, where
    61 
    62  where
    63 
    64 
    65 {{{#!latex
    66 $ Tff = (3\pi / 32G\rho)^{1/2} $
    67 }}}
    68 
    69 decreases with increasing density and so resolution of the subgrids is demanded over many dynamical time scales. The two methods thus far designed to deal with this matter are 'Jeans heating' and 'sink particles'. Sink particles are a more realistic methodology and was first developed for SPH by Bate et al. ('95). The algorithm was later adapted by Krumholz et al. ('04) for Eulerian AMR. This paper describes a more rigorous series of checks for sink formation.
    70 
    71 === Sink Implentation ===
    72 
    73 Sink particles enable the star formation rate/star formation efficiency, and mass distribution, to be addressed in a robust and quantitative way.
    74 
    75 Sink algorithms originated from the notion of a density threshold. In earlier work, such a threshold was defined, and once surpassed, a sink particle was placed in the grid.
    76 
    77 The present work, however, has added in addition to this criterion, a series of checks to insure that sinks are formed only in gravitationally bound and collapsing structures. These are listed as follows:
    78 
    79 * Converging flow
    80 * Bound system
    81 * Jean's unstable
    82 * Gravitational potential minima
    83 
    84 Else, under conditions such as shear, a sink may erroneously form.
    85 
    86 === Tests ===
    87 Tests included collapse of Bonner Ebert and singular isothermal spheres.
    88 
    89 [[CollapsibleEnd]]
    90 
    91 = Self Similarity Solutions for Collapse =
    92 
    93 [[CollapsibleStart(Shu (‘77))]]
    94 [http://adsabs.harvard.edu/abs/1977ApJ...214..488S/ Self-similar collapse of isothermal spheres and star formation]
    95 [[CollapsibleEnd]]
    96 
    97 [[CollapsibleStart(Hunter, (‘77))]]
    98 [http://adsabs.harvard.edu/abs/1977ApJ...218..834H The collapse of unstable isothermal spheres]
    99 [[CollapsibleEnd]]
     15-Self-similar collapse of isothermal spheres and star formation [http://adsabs.harvard.edu/abs/1977ApJ...214..488S/  Shu (‘77)][[br]]
     16-The collapse of unstable isothermal spheres [http://adsabs.harvard.edu/abs/1977ApJ...218..834H Hunter, (‘77)]
    10017
    10118[[CollapsibleStart(Larson & Penston, et al. (‘04))]]