提高RXTE HEXTE光谱质量的经验方法
An Empirical Method for Improving the Quality of RXTE HEXTE Spectra
摘要：
我们已经开发了一种校正工具，通过采用与我们先前用于提高RXTE PCA光谱质量相同的方法来提高RXTE HEXTE光谱的质量。我们将螃蟹的数百个HEXTE光谱分别拟合到一个简单的幂律模型中，簇A总共有3700万个计数，簇B有3900万个计数，我们为每个簇创建了一个残差的组合光谱。我们发现，集群A的剩余频谱是免费的仪器伪影，而集群B包含显着的特征，幅度~1%，最突出的是在能量范围30-50 keV，这与碘K边缘相一致。从聚类B的残差光谱开始，通过迭代过程，我们创建了校准工具hexBcorr，用于校正任何感兴趣的聚类B光谱。我们通过将其应用于两个明亮的黑洞的B簇光谱来证明该工具的有效性，其中每个黑洞包含数百万个计数。对于这些光谱，工具的应用显著提高了拟合的拟合优度，同时仅轻微影响宽带拟合参数。该工具可能是重要的光谱特征的研究，如回旋加速器线，这是一个主题，超出了本文的范围。
英文摘要：
We have developed a correction tool to improve the quality of RXTE HEXTE spectra by employing the same method we used earlier to improve the quality of RXTE PCA spectra. We fit all of the hundreds of HEXTE spectra of the Crab individually to a simple power-law model, some 37 million counts in total for Cluster A and 39 million counts for Cluster B, and we create for each cluster a combined spectrum of residuals. We find that the residual spectrum of Cluster A is free of instrumental artifacts while that of Cluster B contains significant features with amplitudes ~1%; the most prominent is in the energy range 30-50 keV, which coincides with the iodine K edge. Starting with the residual spectrum for Cluster B, via an iterative procedure we created the calibration tool hexBcorr for correcting any Cluster B spectrum of interest. We demonstrate the efficacy of the tool by applying it to Cluster B spectra of two bright black holes, which contain several million counts apiece. For these spectra, application of the tool significantly improves the goodness of fit, while affecting only slightly the broadband fit parameters. The tool may be important for the study of spectral features, such as cyclotron lines, a topic that is beyond the scope of this paper.
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