Improving INTEGRAL/SPI data analysis of GRBs
Improving INTEGRAL/SPI data analysis of GRBs
复制标题
改进伽玛暴的 INTEGRAL/SPI 数据分析
DOI：
10.1051/0004-6361/202243189
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发表时间：
2022
影响因子：
6.5
通讯作者：
Siegert, T.
中科院分区：
文献类型：
--
作者：
Biltzinger, B.;Greiner, J.;Burgess, J. M.;Siegert, T.
国际伽马射线天体物理实验室（INTEGRAL/SPI）的光谱仪是一种编码掩模仪器，自2002年以来在keV至MeV能量范围内进行观测，覆盖了大多数伽马射线暴的νFν谱峰。自2008年发射以来，费米卫星上的伽马射线暴监测器（GBM）一直是分析能量范围在1000 keV和1000 MeV之间的伽马射线暴的主要仪器。在这里，我们表明，光谱仪上的积分，命名为“SPI”，它涵盖了类似的能量范围内，可以给一些参数，如果我们使用一种先进的分析方法等效的约束结果。此外，结合两种仪器的数据减少了光谱拟合中允许的参数空间。SPI相对于GBM的主要优势是在1.3 MeV下的能量分辨率为10.2%，而GBM的能量分辨率为10%。因此，SPI是精确测量光谱曲率的理想仪器。这一点很重要，因为近年来的研究表明，应该将物理模型而不是启发式函数拟合到伽玛射线暴数据中，以更好地了解其仍然未知的发射机制，并且峰值的曲率对于不同的物理模型来说是独一无二的。为了将物理模型与SPI GRB数据相匹配，并从数据中获得最大量的信息，我们开发了新的开源分析软件PySPI。我们将这些新技术应用于GRB 120711 A，以验证和展示该软件的功能。我们表明，PySPI提高了SPI GRB数据的分析相比，INTEGRAL离线科学分析软件（OSA）。此外，我们证明，GBM和SPI数据，这个特定的伽玛暴可以很好地拟合与物理同步辐射模型。这说明SPI在伽玛暴谱模型拟合中可以发挥重要作用。
The spectrometer on the international gamma-ray astrophysics laboratory (INTEGRAL/SPI) is a coded mask instrument observing since 2002 in the keV to MeV energy range, which covers the peak of theνFνspectrum of most gamma-ray bursts (GRBs). Since its launch in 2008, the gamma-ray burst monitor (GBM) on board theFermisatellite has been the primary instrument for analysing GRBs in the energy range between ≈10 keV and ≈10 MeV. Here, we show that the spectrometer on board INTEGRAL, named ‘SPI’, which covers a similar energy range, can give equivalently constraining results for some parameters if we use an advanced analysis method. Also, combining the data of both instruments reduces the allowed parameter space in spectral fits. The main advantage of SPI over GBM is the energy resolution of ≈0.2% at 1.3 MeV compared to ≈10% for GBM. Therefore, SPI is an ideal instrument for precisely measuring the curvature of the spectrum. This is important, as it has been shown in recent years that physical models rather than heuristic functions should be fit to GRB data to obtain better insights into their still unknown emission mechanism, and the curvature of the peak is unique to the different physical models. To fit physical models to SPI GRB data and get the maximal amount of information from the data, we developed new open-source analysis software, PySPI. We apply these new techniques to GRB 120711A in order to validate and showcase the capabilities of this software. We show that PySPI improves the analysis of SPI GRB data compared to the INTEGRAL off-line scientific analysis software (OSA). In addition, we demonstrate that the GBM and the SPI data for this particular GRB can be fitted well with a physical synchrotron model. This demonstrates that SPI can play an important role in GRB spectral model fitting.