论文标题
Joxsz：Galaxy簇的联合X-SZ拟合代码
JoXSZ: Joint X-SZ fitting code for galaxy clusters
论文作者
论文摘要
Thermal Sunyaev-Zeldovich（SZ）效应和X射线发射提供了簇内培养基的热力学的单独且高度互补的探针。我们提出了Joxsz，这是第一个旨在共同拟合SZ和来自各种仪器的X射线数据的公共代码，以得出星系簇的热力学概况。 Joxsz遵循一种完全贝叶斯的前向模型方法，说明了SZ校准不确定性和X射线背景水平系统。它可以改善大多数最先进的（而不是公开的）分析，因为它采用了正确的Poisson-gauss表达方式，即与观测值中所包含的信息充分利用，即使数据集中缺失值的情况，即使在包含在内的误差预算中更为包含的误差预算，并且在X-rays saz segs sage swords ass swords ass sirs sirs severs a sz-rays s s s s s s s s z rays中都具有更一致的部分。 JOXSZ考虑了光束涂抹和数据分析传输功能，说明了SZ和X射线转换因子的温度和金属依赖性，采用热力学概况的灵活参数化，并根据用户要求允许采用或放松静水平衡的假设（HE）。当他持有时，Joxsz在封闭的质量的径向衍生物上使用物理（正）先验，并衍生质量分布和过度密度radii $r_Δ$。由于这些原因，Joxsz超越了简单的SZ和电子密度拟合。我们通过将Chandra和Nika数据组合在高红移群集CL J1226.9+3332上来说明Joxsz的使用。该代码是用Python编写的，已充分记录，用户可以根据自己的需求和需求自定义分析。 Joxsz可在Github上公开使用。
The thermal Sunyaev-Zeldovich (SZ) effect and the X-ray emission offer separate and highly complementary probes of the thermodynamics of the intracluster medium. We present JoXSZ, the first publicly available code designed to jointly fit SZ and X-ray data coming from various instruments to derive the thermodynamic profiles of galaxy clusters. JoXSZ follows a fully Bayesian forward-modelling approach, accounts for the SZ calibration uncertainty and X-ray background level systematic. It improves upon most state-of-the-art, and not publicly available, analyses because it adopts the correct Poisson-Gauss expression for the joint likelihood, makes full use of the information contained in the observations, even in the case of missing values within the datasets, has a more inclusive error budget, and adopts a consistent temperature across the various parts of the code, allowing for differences between X-ray and SZ gas mass weighted temperatures when required by the user. JoXSZ accounts for beam smearing and data analysis transfer function, accounts for the temperature and metallicity dependencies of the SZ and X-ray conversion factors, adopts flexible parametrization for the thermodynamic profiles, and on user request allows either adopting or relaxing the assumption of hydrostatic equilibrium (HE). When HE holds, JoXSZ uses a physical (positive) prior on the radial derivative of the enclosed mass and derives the mass profile and overdensity radii $r_Δ$. For these reasons, JoXSZ goes beyond simple SZ and electron density fits. We illustrate the use of JoXSZ by combining Chandra and NIKA data on the high-redshift cluster CL J1226.9+3332. The code is written in Python, it is fully documented and the users are free to customize their analysis in accordance with their needs and requirements. JoXSZ is publicly available on GitHub.
