AI 中文总结
研究旨在对脉冲星风星云进行联合X射线和伽马射线分析，核心方法是通过多步骤将eROSITA数据格式转换为与Gammapy兼容的格式，主要贡献是展示了Gammapy中PWN MSH 15 - 52的首张eROSITA地图及相关比较。
AI 中文摘要
对于脉冲星风星云（PWNe）这种在整个电磁光谱范围内都有光子发射的天体，多波长分析至关重要。特别是X射线和伽马射线发射及其角大小的比较，有助于限制PWNe的性质。为此，我们致力于对eROSITA X射线数据和H.E.S.S.伽马射线数据进行联合分析。通过多步骤将eROSITA数据格式转换为与Gammapy兼容的开放数据格式，利用新开发的Python转换函数实现。我们展示了Gammapy中PWN MSH 15 - 52的首张eROSITA地图，并与相关的H.E.S.S.发射进行了比较。
英文摘要
For detailed studies of Pulsar Wind Nebulae (PWNe), objects that show photon emission across the entire electromagnetic spectrum, multiwavelength analyses are crucial. The comparison of especially X-ray and gamma-ray emission and their angular sizes can help us to constrain the properties of PWNe, such as their particle transport mechanism or their potential for the acceleration of hadronic particles. In this vein, we are working towards a joint analysis of eROSITA X-ray data and H.E.S.S. gamma-ray data. To enable this, eROSITA data is adapted into the framework of Gammapy, a Python package for gamma-ray analysis through a multi-step process of adapting the formats of not only the photon event list, but also all X-ray response functions, into open data formats compatible with Gammapy. This is accomplished using newly developed Python converter functions. In this contribution we present the first eROSITA maps of the PWN MSH 15-52 in Gammapy, compared to the associated H.E.S.S. emission.
Comments6 pages, 3 figures. Proceedings of the 8th Heidelberg International Symposium on High-Energy Gamma-Ray Astronomy (γ-2024)
