RFX-mod2 is an experiment that aims to study the physics of fusion plasma and magnetic confinement in a Reversed Field Pinch (RFP) configuration. This thesis aims to characterize the diagnostic cameras of the Optical Camera System (OCS) of the new RFX-mod2. These cameras will observe the internal wall of the RFX-mod2 experiment to measure the visible emission due to the interaction between the plasma and the carbon first wall. This characterization will be accomplished using the Python library OpenCV, in particular leveraging his camera calibration algorithms to extract the internal parameters of the cameras from images and the relative position between the camera and the object observed. These parameters will then be used to reconstruct the camera's Field of View (FOV) in a 3D render of the RFX-mod2 machine in CAD software CATIA, and to calculate the final total surface coverage of all OCS cameras.
RFX-mod2 is an experiment that aims to study the physics of fusion plasma and magnetic confinement in a Reversed Field Pinch (RFP) configuration. This thesis aims to characterize the diagnostic cameras of the Optical Camera System (OCS) of the new RFX-mod2. These cameras will observe the internal wall of the RFX-mod2 experiment to measure the visible emission due to the interaction between the plasma and the carbon first wall. This characterization will be accomplished using the Python library OpenCV, in particular leveraging his camera calibration algorithms to extract the internal parameters of the cameras from images and the relative position between the camera and the object observed. These parameters will then be used to reconstruct the camera's Field of View (FOV) in a 3D render of the RFX-mod2 machine in CAD software CATIA, and to calculate the final total surface coverage of all OCS cameras.
Characterization of the Visible Camera System for RFX-mod2
CAROTENUTO, JACOPO
2021/2022
Abstract
RFX-mod2 is an experiment that aims to study the physics of fusion plasma and magnetic confinement in a Reversed Field Pinch (RFP) configuration. This thesis aims to characterize the diagnostic cameras of the Optical Camera System (OCS) of the new RFX-mod2. These cameras will observe the internal wall of the RFX-mod2 experiment to measure the visible emission due to the interaction between the plasma and the carbon first wall. This characterization will be accomplished using the Python library OpenCV, in particular leveraging his camera calibration algorithms to extract the internal parameters of the cameras from images and the relative position between the camera and the object observed. These parameters will then be used to reconstruct the camera's Field of View (FOV) in a 3D render of the RFX-mod2 machine in CAD software CATIA, and to calculate the final total surface coverage of all OCS cameras.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/35402