使用开源包Gammapy和标准格式的MAGIC数据计算天空图
Computing sky maps using the open-source package Gammapy and MAGIC data in a standardized format
摘要：
为伽马射线数据的高级分析而开发的开源Python包Gammappy需要与相应仪器响应函数相结合的类似伽马的事件列表。对于形态学分析，这些数据必须包括背景接受模型。在这里，我们报告了一种方法来生成这样一个模型的MAGIC望远镜数据，占方位角和天顶依赖的MAGIC背景接受。我们验证这种方法使用的观测蟹状星云与不同的偏移量的指向位置。
英文摘要：
The open-source Python package Gammapy, developed for the high-level analysis of gamma-ray data, requires gamma-like event lists combined with the corresponding instrument response functions. For a morphological analysis, these data have to include a background acceptance model. Here we report an approach to generate such a model for the MAGIC telescope data, accounting for the azimuth and zenith dependencies of the MAGIC background acceptance. We validate this method using observations of the Crab Nebula with different offsets from the pointing position.
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