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Using Machine Learning to Link Black Hole Accretion Flows with Spatially Resolved Polarimetric Observables
Richard Qiu, Angelo Ricarte, Ramesh Narayan +3
We introduce a new library of 535,194 model images of the supermassive black holes and Event Horizon Telescope (EHT) targets Sgr A* and M87*, computed by performing general relativ…
Expectations for Horizon-Scale Supermassive Black Hole Population Studies with the ngEHT
Dominic W. Pesce, Daniel C. M. Palumbo, Angelo Ricarte +5
We present estimates for the number of supermassive black holes (SMBHs) for which the next-generation Event Horizon Telescope (ngEHT) can identify the black hole ``shadow,'' along…
How Spatially Resolved Polarimetry Informs Black Hole Accretion Flow Models
Angelo Ricarte, Michael D. Johnson, Yuri Y. Kovalev +2
The Event Horizon Telescope (EHT) Collaboration has successfully produced images of two supermassive black holes, enabling novel tests of black holes and their accretion flows on h…
Observational Signatures of Frame Dragging in Strong Gravity
Angelo Ricarte, Daniel C. M. Palumbo, Ramesh Narayan +2
Objects orbiting in the presence of a rotating massive body experience a gravitomagnetic frame-dragging effect, known as the Lense-Thirring effect, that has been experimentally con…
Measuring the Ellipticity of M 87* Images
Paul Tiede, Avery E. Broderick, Daniel C. M. Palumbo +1
The Event Horizon Telescope (EHT) images of the supermassive black hole at the center of the galaxy M 87 provided the first image of the accretion environment on horizon scales. Ge…
Measuring Photon Rings with the ngEHT
Paul Tiede, Michael D. Johnson, Dominic W. Pesce +3
General relativity predicts that images of optically thin accretion flows around black holes should generically have a ``photon ring,'' composed of a series of increasingly sharp s…