Stereoscopic Image Analysis of SOL Filaments in MAST

We are developing a standardized method to analyze stereoscopic fast camera data from MAST using the ELZAR framework to calculate 3D images of filaments as they cross the separatrix and travel into the scrape-off layer. The MAST fast camera setup uses two cameras adjacent to each other and separated by a baseline of ~3cm to capture the same filaments during a shot. Currently, in the 2D camera data, the analysis assumes that the filament structures are aligned with the magnetic field and relies on the EFIT++ reconstruction of the field to project the filaments into a 3D geometry. This poster concerns the software implementation to take the established ELZAR method of filament identification and quantification, and improve it by cross-correlating the data with the second camera. We will also compare the modified ELZAR measurement with a magnetic field free approach to asses the assumption that filaments follow field lines. Furthermore, we will use synthetic data to assess the validity of the method for current data and future use on MAST-Upgrade.