标题： 干涉数据的几何模型拟合：GEM-FIND 显示英文标题

标题： Geometrical model fitting for interferometric data: GEM-FIND

摘要： 我们开发了工具GEM-FIND，该工具可用于限制物体的形态和亮度分布。 软件使用Levenberg-Marquardt最小化方法，将几何模型拟合到N波段的光谱分散干涉可见度测量数据中。 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，在傅里叶空间中描述物体的亮度分布。 在本次贡献中，我们通过将该方法应用于带有统计误差的合成可见度数据集，对非线性拟合方法的稳定性进行了数值分析，回答以下问题：相对于（i）uv点的数量，（ii）uv平面上点的分布，（iii）观测的噪声水平，参数确定的稳定性如何？ 显示英文摘要

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?