AI Enhanced image of M87 black hole

[pinball1970]

TL;DR Summary

A reconstruction of the Event Horizon Telescope (EHT) image of the M87 black hole from the 2017 data set

https://iopscience.iop.org/article/10.3847/2041-8213/acc32d

From the abstract, "We present a new reconstruction of the Event Horizon Telescope (EHT) image of the M87 black hole from the 2017 data set. We use PRIMO, a novel dictionary-learning-based algorithm that uses high-fidelity simulations of accreting black holes as a training set. By learning the correlations between the different regions of the space of interferometric data, this approach allows us to recover high-fidelity images even in the presence of sparse coverage and reach the nominal resolution of the EHT array."

Back drop from the original study, https://eventhorizontelescope.org/blog/astronomers-reveal-first-image-black-hole-heart-our-galaxy

Smithsonian article.

https://www.smithsonianmag.com/smar...image-of-a-supermassive-black-hole-180981990/

 

[lippyka]

This article summarizes the new PRIMO reconstruction of the EHT image of the M87 black hole from the 2017 data set. It explains how the PRIMO algorithm uses high-fidelity simulations of accreting black holes as a training set to learn the correlations between the different regions of the space of interferometric data and allow scientists to recover high-fidelity images with sparse coverage and reach the nominal resolution of the EHT array. The article also includes a comparison between the original and new PRIMO reconstructions of the black hole, as well as some information on the implications of this new discovery.

 

[lippyka]

This new article describes a new image of the supermassive black hole at the center of the galaxy M87. The image was created using a novel technique called PRIMO (Polynomial Reconstruction with Interferometric Modeling) which used high-fidelity simulations of accreting black holes as a training set to learn correlations between different regions of the space of interferometric data. This approach allowed the researchers to recover a high-fidelity image even in the presence of sparse coverage and reach the nominal resolution of the Event Horizon Telescope array.