The Image of the M87 Black Hole Reconstructed with PRIMO

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...

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Main Authors: Lia Medeiros, Dimitrios Psaltis, Tod R. Lauer, Feryal Özel
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:The Astrophysical Journal Letters
Subjects:
Online Access:https://doi.org/10.3847/2041-8213/acc32d
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author Lia Medeiros
Dimitrios Psaltis
Tod R. Lauer
Feryal Özel
author_facet Lia Medeiros
Dimitrios Psaltis
Tod R. Lauer
Feryal Özel
author_sort Lia Medeiros
collection DOAJ
description 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. The black hole image comprises a thin bright ring with a diameter of 41.5 ± 0.6 μ as and a fractional width that is at least a factor of 2 smaller than previously reported. This improvement has important implications for measuring the mass of the central black hole in M87 based on the EHT images.
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spelling doaj.art-ef9da8370207453896e862523a7f989d2023-09-03T09:30:42ZengIOP PublishingThe Astrophysical Journal Letters2041-82052023-01-019471L710.3847/2041-8213/acc32dThe Image of the M87 Black Hole Reconstructed with PRIMOLia Medeiros0https://orcid.org/0000-0003-2342-6728Dimitrios Psaltis1https://orcid.org/0000-0003-1035-3240Tod R. Lauer2https://orcid.org/0000-0003-3234-7247Feryal Özel3https://orcid.org/0000-0003-4413-1523School of Natural Sciences, Institute for Advanced Study , 1 Einstein Drive, Princeton, NJ 08540, USA ; lia@ias.edu; Steward Observatory and Department of Astronomy, University of Arizona , 933 N. Cherry Avenue, Tucson, AZ 85721, USASchool of Physics, Georgia Institute of Technology , North Avenue, Atlanta, GA, 30332, USANSF’s National Optical Infrared Astronomy Research Laboratory , Tucson, AZ 85726, USASchool of Physics, Georgia Institute of Technology , North Avenue, Atlanta, GA, 30332, USAWe 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. The black hole image comprises a thin bright ring with a diameter of 41.5 ± 0.6 μ as and a fractional width that is at least a factor of 2 smaller than previously reported. This improvement has important implications for measuring the mass of the central black hole in M87 based on the EHT images.https://doi.org/10.3847/2041-8213/acc32dBlack hole physicsBlack holesSupermassive black holesLong baseline interferometryPrincipal component analysis
spellingShingle Lia Medeiros
Dimitrios Psaltis
Tod R. Lauer
Feryal Özel
The Image of the M87 Black Hole Reconstructed with PRIMO
The Astrophysical Journal Letters
Black hole physics
Black holes
Supermassive black holes
Long baseline interferometry
Principal component analysis
title The Image of the M87 Black Hole Reconstructed with PRIMO
title_full The Image of the M87 Black Hole Reconstructed with PRIMO
title_fullStr The Image of the M87 Black Hole Reconstructed with PRIMO
title_full_unstemmed The Image of the M87 Black Hole Reconstructed with PRIMO
title_short The Image of the M87 Black Hole Reconstructed with PRIMO
title_sort image of the m87 black hole reconstructed with primo
topic Black hole physics
Black holes
Supermassive black holes
Long baseline interferometry
Principal component analysis
url https://doi.org/10.3847/2041-8213/acc32d
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