The Image of the M87 Black Hole Reconstructed with PRIMO

Lia Medeiros, Dimitrios Psaltis, Tod R. Lauer, Feryal Özel

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


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 μas 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.

Original languageEnglish (US)
Article numberL7
JournalAstrophysical Journal Letters
Issue number1
StatePublished - Apr 1 2023
Externally publishedYes

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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