Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration

Ria Patel, Brandan Roachell, Silvina Caino-Lores, Ross Ketron, Jacob Leonard, Nigel Tan, Karan Vahi, Duncan A. Brown, Ewa Deelman, Michela Taufer, Lorena A. Barba, Sandra Gesing

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This article presents an interdisciplinary effort to develop and share sustainable knowledge necessary to analyze, understand, and use published scientific results to advance reproducibility in multimessenger astrophysics. Specifically, we target the breakthrough work associated with generating the first image of a black hole, called M87. The Event Horizon Telescope (EHT) Collaboration computed the image. Based on the artifacts made available by the EHT, we deliver documentation, code, and a computational environment to reproduce the first image of a black hole. Our deliverables support discovery in multimessenger astrophysics by providing all of the necessary tools for generalizing methods and findings from the EHT use case. Challenges encountered during the reproducibility of EHT results are reported. Our effort results in an open source, containerized software package that enables the public to reproduce the first image of a black hole in the galaxy M87.

Original languageEnglish (US)
Pages (from-to)42-52
Number of pages11
JournalComputing in Science and Engineering
Volume24
Issue number5
DOIs
StatePublished - Sep 1 2022

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

Fingerprint

Dive into the research topics of 'Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration'. Together they form a unique fingerprint.

Cite this