干涉测量数据的几何模型拟合：GEM-FIND
Geometrical model fitting for interferometric data: GEM-FIND
摘要：
我们开发了工具GEM-FIND，允许约束对象的形态和亮度分布。该软件使用Levenberg-Marquardt最小化方法将几何模型拟合到N波段的光谱色散干涉可见度测量。每个几何模型使用一组与波长无关和/或与波长相关的参数来描述对象在傅立叶空间中的亮度分布。在这方面的贡献，我们数值分析我们的非线性拟合方法的稳定性，通过将其应用到集的合成vibrium与统计应用的错误，回答以下问题：如何稳定的参数确定相对于（i）的UV点的数量，（ii）在UV平面的点的分布，（iii）的噪声水平的意见？
英文摘要：
We developed the tool GEM-FIND that allows to constrain the morphology and brightness distribution of objects. The software fits geometrical models to spectrally dispersed interferometric visibility measurements in the N-band using the Levenberg-Marquardt minimization method. Each geometrical model describes the brightness distribution of the object in the Fourier space using a set of wavelength-independent and/or wavelength-dependent parameters. In this contribution we numerically analyze the stability of our nonlinear fitting approach by applying it to sets of synthetic visibilities with statistically applied errors, answering the following questions: How stable is the parameter determination with respect to (i) the number of uv-points, (ii) the distribution of points in the uv-plane, (iii) the noise level of the observations?
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