{"created":"2023-07-25T10:31:55.985654+00:00","id":4347,"links":{},"metadata":{"_buckets":{"deposit":"b0d1a8f0-c7eb-429c-ba5d-b540fe18275a"},"_deposit":{"created_by":4,"id":"4347","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"4347"},"status":"published"},"_oai":{"id":"oai:hbg.repo.nii.ac.jp:00004347","sets":["27:815"]},"author_link":["19332","19333","19334","19335","19336","19337","19338","19339"],"item_10004_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2002-05","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"563","bibliographicPageStart":"557","bibliographicVolumeNumber":"484","bibliographic_titles":[{"bibliographic_title":"Nuclear Instruments & Methods in Physics Research Section A"}]}]},"item_10004_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10004_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"　The analysis of gamma-ray spectra to identify lines and their intensities usually requires expert knowledge and timeconsuming calculations with complex fitting functions. A neural network algorithm can be applied to a gamma-ray spectral analysis owing to its excellent pattern recognition characteristics. However, a gamma-ray spectrum typically having 4096 channels is too large as a typical input data size for a neural network. We show that by applying a suitable peak search procedure, gamma-ray data can be reduced to peak energy data, which can be easily managed as input by neural networks. The method was applied to the analysis of gamma-ray spectra composed of mixed radioisotopes and the spectra of uranium ores. Radioisotope identification was successfully achieved.","subitem_description_type":"Abstract"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoshida, Eiji","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19332","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Shizuma, Kiyoshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19333","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Endo, Satoru","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19334","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Oka, Takamitsu","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19335","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Yoshida, Eiji","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19336","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Shizuma, Kiyoshi","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19337","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Endo, Satoru","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19338","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Oka, Takamitsu","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"19339","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-05-29"}],"displaytype":"detail","filename":"oka_takamitsu_020542.pdf","filesize":[{"value":"507.6 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"oka_takamitsu_020542.pdf","objectType":"fulltext","url":"https://hbg.repo.nii.ac.jp/record/4347/files/oka_takamitsu_020542.pdf"},"version_id":"be94d814-1ea3-447e-bdb2-cdb73d57fee0"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Gamma-ray spectrometr","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural network","subitem_subject_scheme":"Other"},{"subitem_subject":"Radioisotope identification","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer","subitem_title_language":"en"}]},"item_type_id":"10004","owner":"4","path":["815"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-15"},"publish_date":"2023-03-15","publish_status":"0","recid":"4347","relation_version_is_last":true,"title":["Application of neural networks for the analysis of gamma-ray spectra measured with a Ge spectrometer"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-09-13T03:33:04.734397+00:00"}