A new FILDSIM model for improved velocity-space sensitivity modelling and reconstructions

We present a new version of the FILDSIM code (Galdon-Quíroga et al 2018 Plasma Phys. Control. Fusion 60 105005), which significantly refines the modelling of the fast-ion loss detector (FILD) signal. We demonstrate that the FILD weight functions computed using this new version of FILDSIM are more ac...

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Published inPlasma physics and controlled fusion Vol. 66; no. 4; pp. 45004 - 45016
Main Authors Schmidt, Bo S, Poley-Sanjuán, Jesús, Rueda-Rueda, José, Galdon-Quíroga, Joaquín, Baquero-Ruiz, Marcelo, Järleblad, Henrik, Reman, Bernard C G, Rud, Mads, Valentini, Andrea, García-Muñoz, Manuel, Salewski, Mirko
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.04.2024
Subjects
fast ion
fast-ion loss detector
FILDSIM
inverse problem
reconstruction
velocity space
Online AccessGet full text
ISSN0741-3335
1361-6587
DOI10.1088/1361-6587/ad268f

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Abstract We present a new version of the FILDSIM code (Galdon-Quíroga et al 2018 Plasma Phys. Control. Fusion 60 105005), which significantly refines the modelling of the fast-ion loss detector (FILD) signal. We demonstrate that the FILD weight functions computed using this new version of FILDSIM are more accurate relative to synthetic benchmarks than those computed using the previous version. Thus, the new version enables higher-quality velocity-space sensitivity modelling and reconstructions. We validate the improvements on experimental data from discharge #75620 at TCV. Additionally, we present a novel approach for characterizing FILDs through a gross FILD measurement and a gross weight function based on the calculations from the new version of FILDSIM. We use them to characterize the TCV FILD.
AbstractList We present a new version of the FILDSIM code (Galdon-Quíroga et al 2018 Plasma Phys. Control. Fusion 60 105005), which significantly refines the modelling of the fast-ion loss detector (FILD) signal. We demonstrate that the FILD weight functions computed using this new version of FILDSIM are more accurate relative to synthetic benchmarks than those computed using the previous version. Thus, the new version enables higher-quality velocity-space sensitivity modelling and reconstructions. We validate the improvements on experimental data from discharge #75620 at TCV. Additionally, we present a novel approach for characterizing FILDs through a gross FILD measurement and a gross weight function based on the calculations from the new version of FILDSIM. We use them to characterize the TCV FILD.
Author Poley-Sanjuán, Jesús
Galdon-Quíroga, Joaquín
García-Muñoz, Manuel
Schmidt, Bo S
Rueda-Rueda, José
Valentini, Andrea
Järleblad, Henrik
Reman, Bernard C G
Baquero-Ruiz, Marcelo
Rud, Mads
Salewski, Mirko
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Snippet We present a new version of the FILDSIM code (Galdon-Quíroga et al 2018 Plasma Phys. Control. Fusion 60 105005), which significantly refines the modelling of...
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iop
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SubjectTerms fast ion
fast-ion loss detector
FILDSIM
inverse problem
reconstruction
velocity space
Title A new FILDSIM model for improved velocity-space sensitivity modelling and reconstructions
URI https://iopscience.iop.org/article/10.1088/1361-6587/ad268f
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