File:Comparison of EHT and EHT Reconstructed with PRIMO (noirlab2310a).jpg
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editDescriptionComparison of EHT and EHT Reconstructed with PRIMO (noirlab2310a).jpg |
English: A team of researchers, including an astronomer with NSF’s NOIRLab, has developed a new machine-learning technique to enhance the fidelity and sharpness of radio interferometry images. To demonstrate the power of their new approach, which is called PRIMO, the team created a new, high-fidelity version of the iconic Event Horizon Telescope's image of the supermassive black hole at the center of Messier 87, a giant elliptical galaxy located 55 million light-years from Earth. The image of the M87 supermassive black hole originally published by the EHT collaboration in 2019 (left); and a new image generated by the PRIMO algorithm using the same data set (right). |
Date | 13 April 2023 (upload date) |
Source | Comparison of EHT and EHT Reconstructed with PRIMO |
Author | L. Medeiros (Institute for Advanced Study), D. Psaltis (Georgia Tech), T. Lauer (NSF’s NOIRLab), and F. Ozel (Georgia Tech) |
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Credit/Provider | L. Medeiros (Institute for Advanced Study), D. Psaltis (Georgia Tech), T. Lauer (NSF’s NOIRLab), and F. Ozel (Georgia Tech) |
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Source | NSF's NOIRLab |
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Date and time of data generation | 04:00, 13 April 2023 |
JPEG file comment | A team of researchers, including an astronomer with NSF’s NOIRLab, has developed a new machine-learning technique to enhance the fidelity and sharpness of radio interferometry images. To demonstrate the power of their new approach, which is called PRIMO, the team created a new, high-fidelity version of the iconic Event Horizon Telescope's image of the supermassive black hole at the center of Messier 87, a giant elliptical galaxy located 55 million light-years from Earth. The image of the M87 supermassive black hole originally published by the EHT collaboration in 2019 (left); and a new image generated by the PRIMO algorithm using the same data set (right). |
Software used | Adobe Photoshop 24.3 (Windows) |
File change date and time | 18:16, 11 April 2023 |
Date and time of digitizing | 01:57, 7 April 2023 |
Date metadata was last modified | 20:16, 11 April 2023 |
Unique ID of original document | xmp.did:6372f862-1722-6f4c-94b3-c2769b06ac50 |
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950 North Cherry Ave. Tucson, AZ, 85719 USA |
IIM version | 4 |