论文标题
PANCO2：一个python库，用于测量Sunyaev-Zeldovich观察的批量内中压力曲线
PANCO2: a Python library to measure intracluster medium pressure profiles from Sunyaev-Zeldovich observations
论文作者
论文摘要
我们提出了Panco2，这是一个开源Python库，旨在从热阳光Sunyaev-Zeldovich效果的地图中提取星系簇压力曲线。提取是基于总观测信号的正向建模，可以考虑毫米观测值的常规特征，例如梁涂抹，数据处理过滤和点源污染。 PANCO2在输入方面具有很大的灵活性，可以处理和分析选项，从而实现了精致的分析和系统效应的研究。我们详细介绍了代码的功能，用于推断压力剖面测量值的算法以及典型的数据产品。我们介绍了运行序列的示例，以及对模拟输入的验证。该代码可在https://github.com/fkeruzore/panco2上在GitHub上找到，并提供广泛的技术文档，可以在https://panco2.readthedocs.io上进行补充。
We present panco2, an open-source Python library designed to extract galaxy cluster pressure profiles from maps of the thermal Sunyaev-Zeldovich effect. The extraction is based on forward modeling of the total observed signal, allowing to take into account usual features of millimeter observations, such as beam smearing, data processing filtering, and point source contamination. panco2 offers a large flexibility in the inputs that can be handled and in the analysis options, enabling refined analyses and studies of systematic effects. We detail the functionalities of the code, the algorithm used to infer pressure profile measurements, and the typical data products. We present examples of running sequences, and the validation on simulated inputs. The code is available on GitHub at https://github.com/fkeruzore/panco2, and comes with an extensive technical documentation to complement this paper at https://panco2.readthedocs.io.
