论文标题
使用PMOIRED的OIFIT数据的灵活的光谱干涉模型
Flexible Spectro Interferometric modelling of OIFITS data with PMOIRED
论文作者
论文摘要
尽管图像重建在解释数据时变得越来越普遍，但在u中拟合的模型拟合通常仍然是解释数据的最佳方法，要么是因为数据的稀疏性，要么是因为需要进行定量测量。 pmoired是一个灵活的python库，可使用简单的几何模型可视化，操纵和模拟数据。 PMOIRED的强度在于其能力结合线性各种简单组件以创建复杂场景的能力，同时链接，约束并将先验添加到拟合参数。该代码还使网格搜索可以找到全局最小值，以及数据重采样以更好地评估不确定性。除了分析功能外，还实施了光谱的任意径向谱，方位角变化或稀疏小波建模。
Despite image reconstruction becoming more widespread when interpreting OIFITS Data, model fitting in u,v space often remains the best way to interpret data, either because of the sparsity of the data, or because a quantitative measurement needs to be done. PMOIRED, is a flexible Python library to visualize, manipulate and model OIFITS data using simple geometric models. The strength of PMOIRED resides in its capability to combine linearly various simple components to create complex scenes, while linking, constraining, and adding priors to fitted parameters. The code also enables grid search to find global minima, as well as data resampling to better evaluate uncertainties. In addition to analytical functions, arbitrary radial profiles, azimuthal variations or sparse wavelet modelling of spectra are implemented.
