Reconstructing images from the Event Horizon Telescope (EHT) observations of M87*, the supermassive black hole at the center of the galaxy M87, depends on a prior to impose desired image statistics. However, given the impossibility of directly observing black holes, there is no clear choice for a prior. We present a framework for flexibly designing a range of priors, each bringing different biases to the image reconstruction. These priors can be weak (e.g., impose only basic natural-image statistics) or strong (e.g., impose assumptions of black-hole structure). Our framework uses Bayesian inference with score-based priors, which are data-driven priors arising from a deep generative model that can learn complicated image distributions. Using our Bayesian imaging approach with sophisticated data-driven priors, we can assess how visual features and uncertainty of reconstructed images change depending on the prior. In addition to simulated data, we image the real EHT M87* data and discuss how recovered features are influenced by the choice of prior.
Expanding the Horizon of Black Hole Imaging with AtLAST
Heriot-Watt University（赫瑞-瓦特大学）；University of Naples Federico II（那不勒斯费德里科二世大学）；MSSL, University College London（伦敦大学学院太空与气候物理研究所）；Yamaguchi University（山口大学）；Academia Sinica Institute of Astronomy and Astrophysics（中央研究院天文及天文物理研究所）；Nagoya City University（名古屋市立大学）；Massachusetts Institute of Technology Haystack Observatory（麻省理工学院海斯塔克观测站）；Niigata University（新潟大学）；Instituto de Astrofísica de Andalucía, IAA-CSIC（安达卢西亚天体物理研究所）；University of Lancashire（兰开夏大学）
Generative imaging for radio interferometry with fast uncertainty quantification
Mullard Space Science Laboratory (MSSL)（穆拉德空间科学实验室）；University College London (UCL)（伦敦大学学院）；Leiden Observatory（莱顿天文台）；Leiden University（莱顿大学）；IRFU CEA Université Paris-Saclay（CEA巴黎-萨克雷大学IRFU）；Department of Computer Science（计算机科学系）；Alan Turing Institute（艾伦·图灵研究所）
Imaging the event horizon of M87* from space on different timescales
Radboud University（拉德堡德大学）；Pontificia Universidad Católica de Chile（智利天主教公立大学）；Harvard University（哈佛大学）；Flatiron Institute（平顿研究所）；Columbia University（哥伦比亚大学）；Max-Planck-Institut für Radioastronomie（马克斯·普朗克射电天文研究所）；ASTRON, The Netherlands Institute for Radio Astronomy（荷兰射电天文研究所）
