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29 November 2021 to 6 December 2021
Virtual event
Europe/Vienna timezone
30 Nov - 3 Dec, 2021 Abstract submission open NOW

Design of a soft-X ray imaging system and tomography analysis based on Bayesian principle

2 Dec 2021, 12:40
15m
Virtual event

Virtual event

Regular Oral Inverse Problems Thursday 2 Dec

Speaker

Yiming Zu (University of Science and Technology of China)

Description

It is reported about the prior analysis in design and tomography analysis of soft X-ray (SXR) diagnostic on Keda Torus eXperiment (KTX). The tomographic KTX aims at studying three dimensional effect in reversed field pinch with high plasma current, particularly in quasi-single-helicity (QSH) states. In order to reflect the experimental constraints and QSH configuration, the Bayesian experimental design (BED) has been chosen to design the view distribution of the probes. This method can optimize the camera location and emission view angle, aiming at maximizing the gain information in future QSH states equilibrium. The Bayesian tomography method is used to do the following data analysis of SXR. It provides an assessment of reconstruction accuracy of SXR and the uncertainty in the reconstruction from errors can be analyzed by the Bayesian probability theory. The Bayesian principle makes prior and quantified analysis in SXR tomographic and it is expected to be extended to other diagnostics in advanced fusion devices such as ITER.

Country or International Organisation China
Affiliation University of Science and Technology of China

Primary authors

Yiming Zu (University of Science and Technology of China) wenzhe mao (University of Science and Technology of China)

Co-authors

Weixing Ding (UCLA) Tao Lan (University of Science and Technology of China) Hong Li (University of Science and Technology of China) Adi Liu (University of Science and Technology of China) Wandong Liu (University of Science and Technology of China) Zian Wei (University of Science and Technology of China) Sen Zhang (University of Science and Technology of China) Chu Zhou (University of Science and Technology of China) Junfeng Zhu (University of Science and Technology of China) Hangqi xu (University of Science and Technology of China) ge zhuang (University of Science and Technology of China)

Presentation materials