{"id":3011,"date":"2024-10-13T10:28:00","date_gmt":"2024-10-13T10:28:00","guid":{"rendered":"https:\/\/webservatory.eu\/?p=3011"},"modified":"2025-11-17T06:33:53","modified_gmt":"2025-11-17T06:33:53","slug":"bigdata-in-astrophysics","status":"publish","type":"post","link":"https:\/\/webservatory.eu\/de\/bigdata-in-astrophysics\/","title":{"rendered":"BigData in der Astrophysik"},"content":{"rendered":"<p>Wenn in der beobachtenden Astrophysik mit den gr\u00f6\u00dften Teleskopen der Welt gearbeitet wird, entstehen enorme Datenmengen im Bereich der Bildgebung. Die Analyse und Interpretation dieser Daten wird f\u00fcr den Menschen zunehmend schwieriger. Besonders bei der pr\u00e4zisen Bildverarbeitung zur Erkennung von Satelliten, Weltraumschrott oder Asteroiden ist eine automatisierte Analyse unerl\u00e4sslich. Daher sucht die Wissenschaft st\u00e4ndig nach neuen und besseren M\u00f6glichkeiten, die Auswertung solcher Bilddaten zu beschleunigen \u2013 bei gleichbleibender oder sogar verbesserter Fehlerquote.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Effiziente Echtzeit-Datenanalyse<\/h3>\n\n\n\n<p>Wir, die sciencentric\u00ae AG, besch\u00e4ftigen uns genau mit diesen Herausforderungen. Durch die Entwicklung von Algorithmen auf Basis neuronaler Netzwerke erm\u00f6glichen wir eine schnellere und zugleich optimierte Datenanalyse \u2013 entweder in Echtzeit oder durch nachtr\u00e4gliche Verarbeitung vorhandener Daten.\nJe nach Datentyp und verwendeten Algorithmen kann die Analyse parallelisiert werden, was die Leistung zus\u00e4tzlich steigert.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Effiziente Objekterkennung durch Kategorisierung und manuelle Interpretation<\/h3>\n\n\n\n<p>Die teils automatisiert, teils vollst\u00e4ndig generierten Ergebnisse f\u00fchren schlie\u00dflich zu einer White- und Blacklist-Kategorisierung der erkannten Objekte.\nObjekte mit uneindeutigem Status m\u00fcssen manuell \u00fcberpr\u00fcft werden. Diese manuell markierten Datens\u00e4tze k\u00f6nnen anschlie\u00dfend als Trainingsdaten wieder in das neuronale Netzwerk eingespeist werden, um zuk\u00fcnftige Erkennungen weiter zu optimieren.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Analyse, Interpretation und Optimierung<\/h3>\n\n\n\n<p>sciencentric\u00ae AG unterst\u00fctzt bei der Analyse, Interpretation und Optimierung wissenschaftlich basierter Bilddaten aus der Astronomie und Astrophysik.\nWir sind Spezialisten in der szenariospezifischen Anpassung von Algorithmen, um physikalisch erzeugte Bilddaten zu reduzieren, gezielt zu steuern und sie \u2013 je nach Anwendungsfall \u2013 effizient in nachgelagerte Prozesse zu \u00fcberf\u00fchren.<\/p>\n\n\n\n<p>Wir sind offen f\u00fcr Fragen, Anregungen und m\u00f6gliche Kooperationen.\nZ\u00f6gern Sie nicht, Kontakt mit uns aufzunehmen!<\/p>\n\n\n\n<p><\/p>","protected":false},"excerpt":{"rendered":"<p>Talking about observable Astrophysics creates huge amounts of data in imaging if the biggest telescopes worldwide are used. People are decreasingly able to analyze and interpret these data. Especially in the area of high precise image creation for the detection of satellites, space debris or asteroids an automated analysis is essential. Therefore, science is always [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":345,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-3011","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>BigData in astrophysics - Webservatory<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/webservatory.eu\/de\/bigdata-in-astrophysics\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"BigData in astrophysics - Webservatory\" \/>\n<meta property=\"og:description\" content=\"Talking about observable Astrophysics creates huge amounts of data in imaging if the biggest telescopes worldwide are used. People are decreasingly able to analyze and interpret these data. Especially in the area of high precise image creation for the detection of satellites, space debris or asteroids an automated analysis is essential. Therefore, science is always [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/webservatory.eu\/de\/bigdata-in-astrophysics\/\" \/>\n<meta property=\"og:site_name\" content=\"Webservatory\" \/>\n<meta property=\"article:published_time\" content=\"2024-10-13T10:28:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-17T06:33:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/webservatory.eu\/wp-content\/uploads\/2025\/07\/ChatGPT-Image-17.-Juni-2025-12_38_04-e1753177635175.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"734\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"S. Kortenhorn\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"S. Kortenhorn\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"2\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/webservatory.eu\/bigdata-in-astrophysics\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/webservatory.eu\/bigdata-in-astrophysics\/\"},\"author\":{\"name\":\"S. 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