A Wave Dark Matter Simulation using an Adaptive Mesh Refinement Code
Date Issued
2014
Date
2014
Author(s)
Liao, Ming-Hsuan
Abstract
Here we study a galaxy formation simulation in the context of extremely-light bosonic dark matter (ELBDM) model using a GPU-accelerated adaptive mesh refinement code. The simulation is in a 2.0Mpc box with resolution up to 60pc, and the boson mass is about 8.1×10^23 eV.
Our results suggest that the ELBDM model produces cores with an universal solitonic density profiles at the dark matter halo center at all halo evolution history, and the core mass obeys two scaling relations with halo virial mass
(Mcore ∝ Mhalo^(1/3)) and halo specific energy (Mcore ∝ (Ehalo/Mhalo)^(1/2))respectively. We found the Mcore − Mhalo relation is a time-averaged result, valid for the haloes undergoing merger frequently, while the Mcore − (Ehalo/Mhalo) relation generally holds at any time. The core density of any halo is well fitted by a series of soliton solutions with only one parameter. The cores may find an
observable evidence to explain dwarf spheroid galaxies.
We also did two modifications on the simulation code to optimize the computation efficiency and accuracy. First, the refinement criterion on the wave speed is tuned to avoid over-refinement, and meanwhile it ensures wave patterns
are nicely captured. Second, we evaluated the performance of several explicit schemes for the Schrodinger kinetic energy solver, which normally has problems with enhanced wave dispersion and unphysical wave damping. A better scheme is searched and identified.
Subjects
自適應網格
超輕玻色子暗物質
孤立子核心
星系形成
薛丁格動能運算子
Type
thesis
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