{"_buckets": {"deposit": "5231da19-ee94-4103-8cfb-f722c5fa7af5"}, "_deposit": {"created_by": 1, "id": "1853", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "1853"}, "status": "published"}, "_oai": {"id": "oai:jaxa.repo.nii.ac.jp:00001853", "sets": ["47", "1402", "1893"]}, "author_link": ["476417", "476415", "476416", "476420", "476412", "476413", "476410", "476418", "476411", "476419", "476414", "476421"], "item_3_biblio_info_10": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2017-03-17", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "87", "bibliographicPageStart": "73", "bibliographicVolumeNumber": "JAXA-RR-16-007", "bibliographic_titles": [{"bibliographic_title": "宇宙航空研究開発機構研究開発報告: 宇宙科学情報解析論文誌: 第6号"}, {"bibliographic_title": "JAXA Research and Development Report: Journal of Space Science Informatics Japan: Volume 6", "bibliographic_titleLang": "en"}]}]}, "item_3_description_17": {"attribute_name": "抄録（英）", "attribute_value_mlt": [{"subitem_description": "We apply three data science techniques, Nonnegative Matrix Factorization (NMF), Principal Component Analysis (PCA) and Independent Component Analysis (ICA), to simulated X-ray energy spectra of a particular class of super-massive black holes. Two competing physical models, one whose variable components are additive and the other whose variable components are multiplicative, are known to successfully describe X-ray spectral variation of these super-massive black holes, within accuracy of the contemporary observation. We hope to utilize these techniques to compare the viability of the models by probing the mathematical structure of the observed spectra, while comparing advantages and disadvantages of each technique. We find that PCA is best to determine the dimensionality of a dataset, while NMF is better suited for interpreting spectral components and comparing them in terms of the physical models in question. ICA is able to reconstruct the parameters responsible for spectral variation. In addition, we find that the results of these techniques are sufficiently different that applying them to observed data may be a useful test in comparing the accuracy of the two spectral models.", "subitem_description_type": "Other"}]}, "item_3_description_18": {"attribute_name": "内容記述", "attribute_value_mlt": [{"subitem_description": "形態: カラー図版あり", "subitem_description_type": "Other"}]}, "item_3_description_19": {"attribute_name": "内容記述（英）", "attribute_value_mlt": [{"subitem_description": "Physical characteristics: Original contains color illustrations", "subitem_description_type": "Other"}]}, "item_3_description_32": {"attribute_name": "資料番号", "attribute_value_mlt": [{"subitem_description": "資料番号: AA1630049007", "subitem_description_type": "Other"}]}, "item_3_description_33": {"attribute_name": "レポート番号", "attribute_value_mlt": [{"subitem_description": "レポート番号: JAXA-RR-16-007", "subitem_description_type": "Other"}]}, "item_3_identifier_registration": {"attribute_name": "ID登録", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.20637/JAXA-RR-16-007/0007", "subitem_identifier_reg_type": "JaLC"}]}, "item_3_publisher_8": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "宇宙航空研究開発機構(JAXA)"}]}, "item_3_publisher_9": {"attribute_name": "出版者（英）", "attribute_value_mlt": [{"subitem_publisher": "Japan Aerospace Exploration Agency (JAXA)"}]}, "item_3_source_id_21": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "1349-1113", "subitem_source_identifier_type": "ISSN"}]}, "item_3_source_id_24": {"attribute_name": "書誌レコードID", "attribute_value_mlt": [{"subitem_source_identifier": "AA1192675X", "subitem_source_identifier_type": "NCID"}]}, "item_3_text_35": {"attribute_name": "JAXAカテゴリ", "attribute_value_mlt": [{"subitem_text_value": "JAXAカテゴリ: 研究開発報告"}]}, "item_3_text_36": {"attribute_name": "JAXAカテゴリ2", "attribute_value_mlt": [{"subitem_text_value": "JAXAカテゴリ2: IS"}]}, "item_3_text_38": {"attribute_name": "ＮＡＳＡ分類コード", "attribute_value_mlt": [{"subitem_text_value": "NASA分類コード: 89"}]}, "item_3_text_39": {"attribute_name": "ＮＡＳＡ分類表目標", "attribute_value_mlt": [{"subitem_text_value": "NASA分類: Astronomy"}]}, "item_3_text_40": {"attribute_name": "jaxa出版物種類", "attribute_value_mlt": [{"subitem_text_value": "jaxa出版物種類: RR"}]}, "item_3_text_41": {"attribute_name": "jaxa出版物シリーズ", "attribute_value_mlt": [{"subitem_text_value": "jaxa出版物シリーズ: 001"}]}, "item_3_text_43": {"attribute_name": "DSpaceコレクション番号", "attribute_value_mlt": [{"subitem_text_value": "DSpaceコレクション番号: 10"}]}, "item_3_text_6": {"attribute_name": "著者所属", "attribute_value_mlt": [{"subitem_text_value": "宇宙航空研究開発機構宇宙科学研究所 (JAXA)(ISAS)"}, {"subitem_text_value": "宇宙航空研究開発機構宇宙科学研究所 (JAXA)(ISAS)"}, {"subitem_text_value": "統計数理研究所"}, {"subitem_text_value": "統計数理研究所"}, {"subitem_text_value": "宇宙航空研究開発機構宇宙科学研究所 (JAXA)(ISAS)"}, {"subitem_text_value": "宇宙航空研究開発機構宇宙科学研究所 (JAXA)(ISAS)"}]}, "item_3_text_7": {"attribute_name": "著者所属（英）", "attribute_value_mlt": [{"subitem_text_language": "en", "subitem_text_value": "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"}, {"subitem_text_language": "en", "subitem_text_value": "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"}, {"subitem_text_language": "en", "subitem_text_value": "Institute of Statistical Mathematics, Japan"}, {"subitem_text_language": "en", "subitem_text_value": "Institute of Statistical Mathematics, Japan"}, {"subitem_text_language": "en", "subitem_text_value": "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"}, {"subitem_text_language": "en", "subitem_text_value": "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Pike, Sean"}], "nameIdentifiers": 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