Version 1
: Received: 31 October 2020 / Approved: 3 November 2020 / Online: 3 November 2020 (15:48:26 CET)
How to cite:
Valente de Almeida, R.; Matela, N.; Vieira, P. TomoSim: A Tomographic Simulator for DOAS. Preprints2020, 2020110171. https://doi.org/10.20944/preprints202011.0171.v1
Valente de Almeida, R.; Matela, N.; Vieira, P. TomoSim: A Tomographic Simulator for DOAS. Preprints 2020, 2020110171. https://doi.org/10.20944/preprints202011.0171.v1
Valente de Almeida, R.; Matela, N.; Vieira, P. TomoSim: A Tomographic Simulator for DOAS. Preprints2020, 2020110171. https://doi.org/10.20944/preprints202011.0171.v1
APA Style
Valente de Almeida, R., Matela, N., & Vieira, P. (2020). TomoSim: A Tomographic Simulator for DOAS. Preprints. https://doi.org/10.20944/preprints202011.0171.v1
Chicago/Turabian Style
Valente de Almeida, R., Nuno Matela and Pedro Vieira. 2020 "TomoSim: A Tomographic Simulator for DOAS" Preprints. https://doi.org/10.20944/preprints202011.0171.v1
Abstract
TomoSim comes as part of project ATMOS, a miniaturised DOAS tomographic atmospheric evaluation device, designed to fit a small drone. During the development of the project, it became necessary to write a simulation tool for system validation. TomoSim is the answer to this problem. The software has two main goals: to mathematically validate the tomographic acquisition method; and to allow some adjustments to the system before reaching final product stages. This measurement strategy was based on a drone performing a sequential trajectory and gathering projections arranged in fan beams, before using some classical tomographic methods to reconstruct a spectral image. The team tested three different reconstruction algorithms, all of which were able to produce an image, validating the team’s initial assumptions regarding the trajectory and acquisition strategy. All algorithms were assessed on their computational performance and their ability for reconstructing spectral "images", using two phantoms, one of which custom made for this purpose. In the end, the team was also able to uncover certain limitations of the TomoSim approach that should be addressed before the final stages of the system.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
