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    <identifier>10.57760/sciencedb.j00186.00302</identifier>
    <datestamp>2023-10-27T09:30:30Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2023-10-27</dc:date>
  <dc:title>Effective extraction of photoneutron cross-section distribution using gamma activation and reaction yield ratio method</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00186.00302</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>In this study, we propose the extraction of Photoneutron cross-section (PNCS) distributions using a combination of gamma activation and reaction yield ratio methods. To verify the validity of the proposed extraction method, experiments for generating 62, 64Cu and 85m, 87mSr isotopes via laser-induced photoneutron reactions were performed, and the reaction yields of these isotopes were obtained. Using the proposed extraction method, the PNCS distributions of 63Cu and 86Sr isotopes (leading to 85mSr isotope production) were successfully extracted. These extracted PNCS distributions were benchmarked against available PNCS data or TALYS calculations, demonstrating the validity of the proposed extraction method.</dc:description>
  <dc:subject>Photonuclear data; Photoneutron cross section; Gamma activation; Reaction yield; TALYS calculation</dc:subject>
  <dc:creator>Zhi-Cai Li</dc:creator>
  <dc:creator>Yue Yang</dc:creator>
  <dc:creator>Zong-Wei Cao</dc:creator>
  <dc:creator>Xin-Xiang Li</dc:creator>
  <dc:creator>Yun Yuan</dc:creator>
  <dc:creator>Zong-Qing Zhao</dc:creator>
  <dc:creator>Gong-Tao Fan</dc:creator>
  <dc:creator>Hong-Wei Wang</dc:creator>
  <dc:creator>Wen Luo</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.1007/s41365-023-01330-z</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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