Dr. Hsi-Yu Schive 薛熙于博士 (NTU)
"Wave Dark Matter Predictions from GPU-accelerated Adaptive Mesh"
時間/地點: 2019-05-24 14:00 [S4-1013]
摘要:
The conventional particle interpretation of cold dark matter (CDM) still lacks laboratory support and struggles to explain the basic properties of low-mass galaxies. This tension motivates wave dark matter (ψDM) composed of extremely light particles (mψ~10-22 eV), which suppresses structure below the kpc scale by the uncertainty principle but retains the large-scale structure predicted by CDM. In the first part of this talk, I will present cosmological ψDM simulations with extremely high resolution capable of resolving dwarf galaxies, revealing that every ψDM halo has a prominent soliton core surrounded by fluctuating density granules. These predictions are consistent with the observations of galaxy formation, Lyman-alpha forest, reionization, and gravitational lensing flux anomalies. I will also discuss several critical challenges faced by this model. The second part of this talk will focus on GAMER, a GPU-accelerated adaptive mesh refinement (AMR) code developed from scratch by our group. A rich set of physics modules have been incorporated and which outperforms other AMR codes by one to two orders of magnitude. The code scales well to thousands of GPUs and achieves a uniform resolution as high as 10,2403 cells. I will present several ongoing astrophysical projects using GAMER that require substantially higher resolution than previously feasible.
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