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万有理论

Theories of Everything
课程网址: http://videolectures.net/nipsworkshops2011_hogg_theories/  
主讲教师: David W. Hogg
开课单位: 纽约大学
开课时间: 2012-01-23
课程语种: 英语
中文简介:
宇宙学,目前,与静态目录(例如,星系)和基本物理量的点估计(例如,大多数宇宙学科学所基于的两点函数)。下一代宇宙学实验正在寻求更大和更大的数据集中更微妙的效果;他们不会提供他们能够获得的所有宇宙学信息,除非我们能够开发概率方法,将原始数据中的所有信息尽可能地传递给感兴趣的数量(例如,原始密度波动或质量的光谱)暗物质粒子)。我将展示一些婴儿步骤,以创建一个完整系统的概率生成模型,顶部是宇宙学参数,底部是原始图像像素。这项工作的一部分是与Fergus(纽约大学),Lang(普林斯顿大学),Marshall(牛津大学)和Murray(爱丁堡大学)合作完成的。
课程简介: Cosmology, at the present day, works with static catalogs (of, say, galaxies) and point estimates of fundamental physical quantities (of, for example, two-point functions, on which most cosmological science is based). Next-generation cosmological experiments are looking for ever more subtle effects in larger and larger data sets; they will not provide all the cosmological information of which they are capable unless we can develop probabilistic approaches that transmit as best as possible all the information in the raw data to the quantities of interest (for example, the spectrum of primordial density fluctuations or the mass of the dark-matter particle). I will show some baby steps towards creating a probabilistic generative model of the full system, with cosmological parameters at the top and raw image pixels at the bottom. Parts of this work have been performed in collaboration with Fergus (NYU), Lang (Princeton), Marshall (Oxford), and Murray (Edinburgh).
关 键 词: 宇宙学; 概率; 宇宙学参数
课程来源: 视频讲座网
最后编审: 2019-09-07:lxf
阅读次数: 33