Statistical Analysis of Complex Computer Models in Astronomy

Joshua Lukemire, Qian Xiao, Abhyuday Mandal, Weng Kee Wong

研究成果: Article同行評審

3 引文 斯高帕斯(Scopus)

摘要

We introduce statistical techniques required to handle complex computer models with potential applications to astronomy. Computer experiments play a critical role in almost all fields of scientific research and engineering. These computer experiments, or simulators, are often computationally expensive, leading to the use of emulators for rapidly approximating the outcome of the experiment. Gaussian process models, also known as Kriging, are the most common choice of emulator. While emulators offer significant improvements in computation over computer simulators, they require a selection of inputs along with the corresponding outputs of the computer experiment to function well. Thus, it is important to select inputs judiciously for the full computer simulation to construct an accurate emulator. Space-filling designs are efficient when the general response surface of the outcome is unknown, and thus they are a popular choice when selecting simulator inputs for building an emulator. In this tutorial we discuss how to construct these space filling designs, perform the subsequent fitting of the Gaussian process surrogates, and briefly indicate their potential applications to astronomy research.

原文English
頁(從 - 到)2253-2263
頁數11
期刊European Physical Journal: Special Topics
230
發行號10
DOIs
出版狀態Published - 2021 5月

All Science Journal Classification (ASJC) codes

  • 一般材料科學
  • 一般物理與天文學
  • 物理與理論化學

指紋

深入研究「Statistical Analysis of Complex Computer Models in Astronomy」主題。共同形成了獨特的指紋。

引用此