Flexible spectro-interferometric modelling of OIFITS data with PMOIRED
Flexible spectro-interferometric modelling of OIFITS data with PMOIRED
复制标题
使用 PMIRED 对 OIFITS 数据进行灵活的光谱干涉建模
DOI：
10.1117/12.2626700
复制
发表时间：
2022
影响因子：
3.5
通讯作者：
A. M'erand
中科院分区：
文献类型：
--
作者：
A. M'erand
尽管图像重建在解释OIFITS数据时变得越来越普遍，但u，v空间中的模型拟合通常仍然是解释数据的最佳方式，这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，使用简单的几何模型可视化，操作和建模OIFITS数据。PMOIRED的优势在于它能够将各种简单的组件线性地联合收割机组合以创建复杂的场景，同时链接、约束和添加先验以拟合参数。该代码还使网格搜索能够找到全局最小值，以及数据重新排序，以更好地评估不确定性。除了分析功能，任意的径向轮廓，方位角的变化或稀疏小波建模的频谱。
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.
OIFITS 2：光学干涉测量数据交换标准第二版
影响因子：
6.5
作者：
Duvert, Gilles;Young, John;Hummel, Christian A.
通讯作者：
Hummel, Christian A.