A new parameter space study of cosmological microlensing
A new parameter space study of cosmological microlensing
复制标题
宇宙学微透镜的新参数空间研究
DOI：
10.1093/mnras/stt1076
复制
发表时间：
2013
影响因子：
4.8
通讯作者：
C. Fluke
中科院分区：
文献类型：
--
作者：
G. Vernardos;C. Fluke
宇宙引力微透镜是了解类星体内部结构的有用技术，特别是吸积盘和中心超大质量黑洞。 So far, most of the cosmological microlensing studies have focused on single objects from ~90 currently known lensed quasars.然而，目前和计划中的全天巡天预计将发现数千个新的透镜系统。使用图形处理单元 (GPU) 加速射线拍摄代码，我们在微透镜感兴趣的会聚 ({\kappa}) 和剪切 ({\gamma}) 参数空间中均匀生成了 2550 个放大图。我们研究了微透镜位置的随机实现对地图属性（例如放大概率分布（MPD））的影响。结果表明，对于大多数参数空间，单个映射代表了平均行为。所有模拟均在理论天体物理研究 GPU 超级计算机 (gSTAR) 上进行。
Cosmological gravitational microlensing is a useful technique for understanding the structure of the inner parts of a quasar, especially the accretion disk and the central supermassive black hole. So far, most of the cosmological microlensing studies have focused on single objects from ~90 currently known lensed quasars. However, present and planned all-sky surveys are expected to discover thousands of new lensed systems. Using a graphics processing unit (GPU) accelerated ray-shooting code, we have generated 2550 magnification maps uniformly across the convergence ({\kappa}) and shear ({\gamma}) parameter space of interest to microlensing. We examine the effect of random realizations of the microlens positions on map properties such as the magnification probability distribution (MPD). It is shown that for most of the parameter space a single map is representative of an average behaviour. All of the simulations have been carried out on the GPU-Supercomputer for Theoretical Astrophysics Research (gSTAR).