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Applying machine learning methods for the analysis of two-dimensional mass spectra.
Gao, Z; Solders, A; Al-Adili, A; Beliuskina, O; Eronen, T; Kankainen, A; Lantz, M; Moore, I D; Nesterenko, D A; Penttilä, H; Pomp, S; Sjöstrand, H.
Afiliação
  • Gao Z; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
  • Solders A; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
  • Al-Adili A; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
  • Beliuskina O; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Eronen T; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Kankainen A; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Lantz M; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
  • Moore ID; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Nesterenko DA; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Penttilä H; Department of Physics, Accelerator laboratory, University of Jyväskylä, P.O. Box 35(YFL), 40014 Jyväskylä, Finland.
  • Pomp S; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
  • Sjöstrand H; Department of Physics and Astronomy, Uppsala University, BOX 516, 75120 Uppsala, Sweden.
Eur Phys J A Hadron Nucl ; 59(7): 169, 2023.
Article em En | MEDLINE | ID: mdl-37502124
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Eur Phys J A Hadron Nucl Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suécia
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Eur Phys J A Hadron Nucl Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Suécia