Monte Carlo methods for X-ray dispersive spectrometers

被引：1

作者：

Peterson, JR ^{[1
]}

Jernigan, JG ^{[1
]}

Kahn, SM ^{[1
]}

机构：

[1] Columbia Univ, Dept Phys, New York, NY 10027 USA

来源：

ASTRONOMICAL DATA ANALYSIS II | 2002年 / 4847卷

关键词：

Monte Carlo techniques; X-ray spectroscopy; diffuse X-ray sources; X-ray data analysis;

D O I：

10.1117/12.461030

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

We discuss multivariate Monte Carlo methods appropriate for X-ray dispersive spectrometers. Dispersive spectrometers have many advantages for high resolution spectroscopy in the X-ray band. Analysis of data from these instruments is complicated by the fact that the instrument response functions are multi-dimensional and relatively few X-ray photons are detected from astrophysical sources. Monte Carlo methods are the natural solution to these challenges, but techniques for their use are not well developed. We describe a number of methods to produce a highly efficient and flexible multivariate Monte Carlo. These techniques include multidimensional response interpolation and multi-dimensional event comparison. We discuss how these methods have been extensively used in the XMM-Newton Reflection Grating Spectrometer in-flight calibration program. We also show several examples of a Monte Carlo applied to observations of clusters of galaxies and elliptical galaxies with the XMM-Newton observatory.

引用

页码：195 / 206

页数：12

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