{"created":"2021-09-07T04:18:07.357320+00:00","id":2001358,"links":{},"metadata":{"_buckets":{"deposit":"735df338-ad1d-4258-a327-7320dd4db0fb"},"_deposit":{"created_by":17,"id":"2001358","owner":"17","owners":[17],"owners_ext":{"displayname":"図書情報係","username":"repository"},"pid":{"revision_id":0,"type":"depid","value":"2001358"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:02001358","sets":["336:695:696"]},"author_link":[],"item_1615768549627":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_1629683748249":{"attribute_name":"日付","attribute_value_mlt":[{"subitem_date_issued_datetime":"2021-09-07","subitem_date_issued_type":"Available"}]},"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2020-08","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageStart":"61","bibliographicVolumeNumber":"72","bibliographic_titles":[{"bibliographic_title":"Publications of the Astronomical Society of Japan","bibliographic_titleLang":"en"}]}]},"item_9_description_4":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"Photometric surveys have provided incredible amounts of astronomical information in the form of images. However, astronomical images often contain artifacts that can critically hinder scientific analysis by misrepresenting intensities or contaminating catalogs as artificial objects. These affected pixels need to be masked and dealt with in any data reduction pipeline. We present a flexible, iterative algorithm to recover (unmask) astronomical images where some pixels are lacking. We demonstrate the application of the method on some intensity calibration source images in the CO Multi-line Imaging of Nearby Galaxies (COMING) project conducted using the 45 m telescope at Nobeyama Radio Observatory. The proposed algorithm restored artifacts due to a detector error in the intensity calibration source images. The restored images were used to calibrate 11 out of 147 observed galaxy maps in the survey. The tests show that the algorithm can restore measured intensities at sub 1% error even for noisy images (S/N = 2.4), despite lacking a significant part of the image. We present the formulation of the reconstruction algorithm, discuss its possibilities and limitations for extensions to other astronomical signals, and examine the results of the COMING application.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_9_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Oxford University Press","subitem_publisher_language":"en"}]},"item_9_relation_43":{"attribute_name":"関連情報","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1093/pasj/psaa038","subitem_relation_type_select":"DOI"}}]},"item_9_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"[Publications of the Astronomical Society of Japan, Volume 72, Issue 4, 61], [A method for unmasking incomplete astronomical signals: Application to the CO Multi-line Imaging of Nearby Galaxies project] by [Suchetha Cooray, Tsutomu T Takeuchi, Moe Yoda, Kazuo Sorai], [2020], reproduced by permission of Oxford University Press [https://doi.org/10.1093/pasj/psaa038]","subitem_rights_language":"en"}]},"item_9_source_id_7":{"attribute_name":"収録物識別子","attribute_value_mlt":[{"subitem_source_identifier":"0004-6264","subitem_source_identifier_type":"PISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Cooray, Suchetha","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Takeuchi, Tsutomu T","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Yoda, Moe","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Sorai, Kazuo","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-09-07"}],"displaytype":"detail","filename":"2004_06979.pdf","filesize":[{"value":"1.5 MB"}],"format":"application/pdf","url":{"objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/2001358/files/2004_06979.pdf"},"version_id":"ae2adc69-a86c-40fd-b008-57c5fe4488e5"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"radio lines: galaxies","subitem_subject_scheme":"Other"},{"subitem_subject":"methods: analytical","subitem_subject_scheme":"Other"},{"subitem_subject":"methods: statistical","subitem_subject_scheme":"Other"},{"subitem_subject":"techniques: image processing","subitem_subject_scheme":"Other"},{"subitem_subject":"surveys","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":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"A method for unmasking incomplete astronomical signals: Application to the CO Multi-line Imaging of Nearby Galaxies project","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"A method for unmasking incomplete astronomical signals: Application to the CO Multi-line Imaging of Nearby Galaxies project","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"17","path":["696"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-09-07"},"publish_date":"2021-09-07","publish_status":"0","recid":"2001358","relation_version_is_last":true,"title":["A method for unmasking incomplete astronomical signals: Application to the CO Multi-line Imaging of Nearby Galaxies project"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2023-01-16T05:12:00.288138+00:00"}