Facilitator: Dimitrios Psaltis
Air date: Tuesday, May 5, 2020
An interferometer does not record directly the images of cosmic sources. Instead, it measures the components of the Fourier transforms of the images at a set of distinct locations set by the orientations of and the distances between the various stations of the interferometer. Comparing models directly to interferometric data is fruitful but also challenging.
In this webinar, we will learn the foundations of Bayesian model comparison to interferometric data. We will discuss the basic concepts, which apply to all comparisons of models to data, but also focus on the unique aspects of fitting VLBI data. In particular, we will explore basic issues and common pitfalls related to the sparse nature of VLBI arrays and develop strategies to identify and overcome them.
This session is part of a monthly series.
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