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Cathodoluminescent screen imaging system for seeded blob detection in toroidal plasma experiment.
Micheletti, P; Baquero-Ruiz, M; Manke, F; Furno, I; Ricci, P; Fasoli, A; Bowen, P; Morais, C; Zhao, W.
Afiliação
  • Micheletti P; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Baquero-Ruiz M; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Manke F; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Furno I; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Ricci P; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Fasoli A; École Polytechnique Fédérale de Lausanne (EPFL), Swiss Plasma Center (SPC), CH-1015 Lausanne, Switzerland.
  • Bowen P; École Polytechnique Fédérale de Lausanne (EPFL), Powder Technology Laboratory (LTP), CH-1015 Lausanne, Switzerland.
  • Morais C; École Polytechnique Fédérale de Lausanne (EPFL), Powder Technology Laboratory (LTP), CH-1015 Lausanne, Switzerland.
  • Zhao W; École Polytechnique Fédérale de Lausanne (EPFL), Powder Technology Laboratory (LTP), CH-1015 Lausanne, Switzerland.
Rev Sci Instrum ; 91(5): 053501, 2020 May 01.
Article em En | MEDLINE | ID: mdl-32486748
ABSTRACT
We designed and built a diagnostic based on a cathodoluminescent screen for the detection of turbulent plasma structures with high spatial resolution. The screen is coated with a low threshold energy cathodoluminescent powder that emits light when exposed to a plasma. The emitted light is imaged with a fast frame camera combined with an image intensifier and an optical bandpass filter. The diagnostic is used to study turbulent structures and seeded blobs. The results are analyzed with pattern recognition algorithms to track the turbulent structures and study their evolution in time.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article