论文标题
在火星好奇的漫游者上进行贝叶斯模型校准的估计尺度差异
Estimating Scale Discrepancy in Bayesian Model Calibration for ChemCam on the Mars Curiosity Rover
论文作者
论文摘要
火星漫游者的好奇心带有一种称为Chemcam的仪器，以确定土壤和岩石的组成。为此，ChemCAM使用激光诱导的分解光谱（LIB）。洛斯阿拉莫斯国家实验室（Los Alamos National Laboratory）开发了一种模拟能力，可以预测ChemCAM的光谱，但是预测和观察之间存在重大量表差异。当使用贝叶斯模型校准来确定描述LIBS观测值的未知物理参数时，这提出了一个挑战。我们提供了基于贝叶斯模型校准方案中的结构化差异模型来支持Chemcam的LIB数据分析。这既是贝叶斯模型校准的新颖应用，又是在这种情况下理论和观察之间的这种系统差异的通用方法。
The Mars rover Curiosity carries an instrument called ChemCam to determine the composition of the soil and rocks. ChemCam uses laser-induced breakdown spectroscopy (LIBS) for this purpose. Los Alamos National Laboratory has developed a simulation capability that can predict spectra from ChemCam, but there are major scale differences between the prediction and observation. This presents a challenge when using Bayesian model calibration to determine the unknown physical parameters that describe the LIBS observations. We present an analysis of LIBS data to support ChemCam based on including a structured discrepancy model in a Bayesian model calibration scheme. This is both a novel application of Bayesian model calibration and a general purpose approach to accounting for such systematic differences between theory and observation in this setting.
