{"title":"人工智能与射电天文学相遇","authors":"G. Tuccari, G. Tuccari","doi":"10.2478/lpts-2022-0027","DOIUrl":null,"url":null,"abstract":"Abstract Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy technology, for instance, in the new DBBC4 VLBI backend development project and in the low frequency array AntArr under development on the Etna slopes in Italy. In the present paper, we describe the method currently adopted for those projects and some possible applications, which could provide substantial new features in this decade to the radio astronomy science and technology.","PeriodicalId":43603,"journal":{"name":"Latvian Journal of Physics and Technical Sciences","volume":"59 1","pages":"82 - 95"},"PeriodicalIF":0.5000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence Meets Radio Astronomy\",\"authors\":\"G. Tuccari, G. Tuccari\",\"doi\":\"10.2478/lpts-2022-0027\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy technology, for instance, in the new DBBC4 VLBI backend development project and in the low frequency array AntArr under development on the Etna slopes in Italy. In the present paper, we describe the method currently adopted for those projects and some possible applications, which could provide substantial new features in this decade to the radio astronomy science and technology.\",\"PeriodicalId\":43603,\"journal\":{\"name\":\"Latvian Journal of Physics and Technical Sciences\",\"volume\":\"59 1\",\"pages\":\"82 - 95\"},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Latvian Journal of Physics and Technical Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/lpts-2022-0027\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHYSICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Latvian Journal of Physics and Technical Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/lpts-2022-0027","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHYSICS, APPLIED","Score":null,"Total":0}
Abstract Artificial intelligence is widely spreading in all modern technologies. Such a very powerful methodology can have important applications in radio astronomy technology, for instance, in the new DBBC4 VLBI backend development project and in the low frequency array AntArr under development on the Etna slopes in Italy. In the present paper, we describe the method currently adopted for those projects and some possible applications, which could provide substantial new features in this decade to the radio astronomy science and technology.
期刊介绍：
Latvian Journal of Physics and Technical Sciences (Latvijas Fizikas un Tehnisko Zinātņu Žurnāls) publishes experimental and theoretical papers containing results not published previously and review articles. Its scope includes Energy and Power, Energy Engineering, Energy Policy and Economics, Physical Sciences, Physics and Applied Physics in Engineering, Astronomy and Spectroscopy.
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