02069nas a2200349   4500000000100000000000100001008004100002100001700043700001800060700002100078700002400099700002200123700001700145700002000162700002000182700001700202700002300219700001800242700002200260700002000282700001900302700002100321700001500342700001900357700001900376700004600395245005600441856004500497300000900542490000800551520116000559       2022                            d1 aJoseph Farah1 aPeter Galison1 aKazunori Akiyama1 aKatherine L. Bouman1 aGeoffrey C. Bower1 aAndrew Chael1 aAntonio Fuentes1 aJosé L. Gómez1 aMareki Honma1 aMichael D. Johnson1 aYutaro Kofuji1 aDaniel P. Marrone1 aKotaro Moriyama1 aRamesh Narayan1 aDominic W. Pesce1 aPaul Tiede1 aMaciek Wielgus1 aGuang-Yao Zhao1 aThe Event Horizon Telescope Collaboration00aSelective Dynamical Imaging of Interferometric Data  uhttps://doi.org/10.3847/2041-8213/ac6615  a1-210 v9303 aRecent developments in very long baseline interferometry (VLBI) have made it possible for the Event Horizon Telescope (EHT) to resolve the innermost accretion flows of the largest supermassive black holes on the sky. The sparse nature of the EHT's (u, v)-coverage presents a challenge when attempting to resolve highly time-variable sources. We demonstrate that the changing (u, v)-coverage of the EHT can contain regions of time over the course of a single observation that facilitate dynamical imaging. These optimal time regions typically have projected baseline distributions that are approximately angularly isotropic and radially homogeneous. We derive a metric of coverage quality based on baseline isotropy and density that is capable of ranking array configurations by their ability to produce accurate dynamical reconstructions. We compare this metric to existing metrics in the literature and investigate their utility by performing dynamical reconstructions on synthetic data from simulated EHT observations of sources with simple orbital variability. We then use these results to make recommendations for imaging the 2017 EHT Sgr A* data set.