Monte Carlo processes for including Chandra instrument response uncertainties in parameter estimation studies
Monte Carlo processes for including Chandra instrument response uncertainties in parameter estimation studies
复制标题
将钱德拉仪器响应不确定性纳入参数估计研究的蒙特卡罗过程
DOI：
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发表时间：
2006
期刊：
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通讯作者：
A. Vikhlinin
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作者：
J. Drake;P. Ratzlaff;V. Kashyap;R. Edgar;R. Izem;D. Jerius;A. Siemiginowska;A. Vikhlinin
在目前的天体物理X射线数据分析中，仪器响应的不确定性几乎普遍被忽略。然而，现代X射线天文台，如钱德拉和XMM-牛顿，经常获得光子计数统计不是主要误差来源的数据。然而，在理解和具体说明不确定性本身以及在数据分析中使用这些不确定性方面，纳入业绩不确定性的备抵在技术上具有挑战性。在这里，我们描述的Monte Carlo方法，包括仪器性能的不确定性，在典型的模型参数估计研究。这些方法被用来估计钱德拉的极限精度理解典型的X射线源模型参数。目前的研究表明，ACIS-S3观测，极限精度达到约104计数。
Instrument response uncertainties are almost universally ignored in current astrophysical X-ray data analyses. Yet modern X-ray observatories, such as Chandra and XMM-Newton, frequently acquire data for which photon counting statistics are not the dominant source of error. Including allowance for performance uncertainties is, however, technically challenging in terms of both understanding and specifying the uncertainties themselves, and in employing them in data analysis. Here we describe Monte Carlo methods developed to include instrument performance uncertainties in typical model parameter estimation studies. These methods are used to estimate the limiting accuracy of Chandra for understanding typical X-ray source model parameters. The present study indicates that, for ACIS-S3 observations, the limiting accuracy is reached for ~ 104 counts.