MANGO - Generating 2D-Magnetic Field Maps From Normal-Conducting Magnets Of Experimental Areas

Abstract: This thesis discusses the development of MANGO, a tool created to model normal-conducting magnets which were installed in the 1970s in the experimental areas at CERN, and store their analysis. MANGO formulates an answer to two problems faced by the physicists of the Beam Department when they model a beam line: first, how to produce new magnetic field maps and, second, how to easily access existing ones? It contains a multi-use package that offers an automated process to produce magnetic field maps from finite-element models of magnets. In addition, the package can visualise the field density or the flux lines of a magnet, and can benchmark a model and automatically store the solutions in a database, while tailoring its content to the level of expertise in electromagnetism and finite-elements modelling of the users. To development of the tool starts by modelling the different types of the normal-conducting magnets using two-dimensional finite element modelling (Opera-2D). After the successful development of one finite element model, it is benchmarked to justify its use in the creation of magnetic field maps. To address the second challenge and avoid any duplication of work, MANGO integrates a Git repository with submodules, where the finite-element models, the magnetic field maps and the documentation are stored.