{"667373":{"#nid":"667373","#data":{"type":"external_news","title":"Scientists unveil new and improved \u0027skinny donut\u0027 black hole image","body":[{"value":"\u003Cp\u003EThe 2019 release of the first image of a black hole, captured by the \u003Ca href=\u0022https:\/\/eventhorizontelescope.org\u0022\u003EEvent Horizon Telescope (EHT)\u003C\/a\u003E, was hailed as a significant scientific achievement. But truth be told, it was a bit blurry \u2014 or, as one astrophysicist involved in the effort called it, a \u0022fuzzy orange donut.\u0022\u0026nbsp;Scientists on Thursday unveiled a new and improved image of this black hole \u2014 a behemoth at the center of a nearby galaxy \u2014 mining the same data used for the earlier one but improving its resolution by employing image reconstruction algorithms to fill in gaps in the original telescope observations. The use of machine learning to improve the photo is detailed in a study in the\u003Cem\u003E \u003Ca href=\u0022https:\/\/iopscience.iop.org\/article\/10.3847\/2041-8213\/acc32d\u0022\u003EAstrophysical Journal Letters\u003C\/a\u003E\u003C\/em\u003E. Two professors in the \u003Ca href=\u0022https:\/\/physics.gatech.edu\u0022\u003ESchool of Physics\u003C\/a\u003E who are EHT founding members \u2014 \u003Ca href=\u0022https:\/\/physics.gatech.edu\/user\/feryal-\u00f6zel\u0022\u003EFeryal Ozel\u003C\/a\u003E, who is also school chair, and \u003Ca href=\u0022https:\/\/physics.gatech.edu\/user\/dmitrios-psaltis\u0022\u003EDimitrios Psaltis\u003C\/a\u003E \u2014 are co-authors of the study.\u0026nbsp;(This story was also covered in \u003Ca href=\u0022https:\/\/www.spacedaily.com\/reports\/A_sharper_look_at_the_first_image_of_a_black_hole_999.html\u0022\u003ESpace Daily\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.sciencedaily.com\/releases\/2023\/04\/230413154351.htm\u0022\u003EScienceDaily\u003C\/a\u003E and\u0026nbsp;the \u003Ca href=\u0022https:\/\/calgaryherald.com\/news\/world\/scientists-unveil-new-and-improved-skinny-donut-black-hole-image\u0022\u003ECalgary Herald\u003C\/a\u003E.)\u003C\/p\u003E\r\n","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThe 2019 release of the first image of a black hole, captured by the \u003Ca href=\u0022https:\/\/eventhorizontelescope.org\u0022\u003EEvent Horizon Telescope (EHT)\u003C\/a\u003E, was hailed as a significant scientific achievement. But truth be told, it was a bit blurry - or, as one astrophysicist involved in the effort called it, a \u0022fuzzy orange donut.\u0022\u0026nbsp;Scientists on Thursday unveiled a new and improved image of this black hole - a behemoth at the center of a nearby galaxy - mining the same data used for the earlier one but improving its resolution by employing image reconstruction algorithms to fill in gaps in the original telescope observations. The use of machine learning to improve the photo is detailed in a study in the\u003Cem\u003E \u003Ca href=\u0022https:\/\/iopscience.iop.org\/article\/10.3847\/2041-8213\/acc32d\u0022\u003EAstrophysical Journal Letters\u003C\/a\u003E\u003C\/em\u003E. Two professors in the \u003Ca href=\u0022https:\/\/physics.gatech.edu\u0022\u003ESchool of Physics\u003C\/a\u003E who are EHT founding members \u2014 \u003Ca href=\u0022https:\/\/physics.gatech.edu\/user\/feryal-\u00f6zel\u0022\u003EFeryal Ozel\u003C\/a\u003E, who is also school chair, and \u003Ca href=\u0022https:\/\/physics.gatech.edu\/user\/dmitrios-psaltis\u0022\u003EDimitrios Psaltis\u003C\/a\u003E \u2014 are co-authors of the study. (This story was also covered in \u003Ca href=\u0022https:\/\/www.spacedaily.com\/reports\/A_sharper_look_at_the_first_image_of_a_black_hole_999.html\u0022\u003ESpace Daily\u003C\/a\u003E,\u0026nbsp;\u003Ca href=\u0022https:\/\/www.sciencedaily.com\/releases\/2023\/04\/230413154351.htm\u0022\u003EScienceDaily\u003C\/a\u003E and the \u003Ca href=\u0022https:\/\/calgaryherald.com\/news\/world\/scientists-unveil-new-and-improved-skinny-donut-black-hole-image\u0022\u003ECalgary Herald\u003C\/a\u003E.)\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":"","uid":"34434","created_gmt":"2023-04-17 13:57:44","changed_gmt":"2023-04-24 14:47:03","author":"Renay San Miguel","boilerplate_text":"","field_publication":"","publication":"Reuters","field_article_url":"","publication_url":"https:\/\/www.reuters.com\/lifestyle\/science\/scientists-unveil-new-improved-skinny-donut-black-hole-image-2023-04-13\/","dateline":{"date":"2023-04-13T00:00:00-04:00","iso_date":"2023-04-13T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1278","name":"College of Sciences"},{"id":"126011","name":"School of Physics"}],"categories":[{"id":"150","name":"Physics and Physical Sciences"}],"keywords":[{"id":"4896","name":"College of Sciences"},{"id":"166937","name":"School of Physics"},{"id":"190811","name":"Feryal \u00d6zel"},{"id":"190812","name":"Dimitrios Psaltis"},{"id":"192385","name":"Event Horizon Telescope"},{"id":"10881","name":"black holes"},{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}