First Advisor
Dr. Samantha Hartzell
Date of Award
Spring 6-14-2024
Document Type
Thesis
Degree Name
Bachelor of Science (B.S.) in Environmental Engineering and University Honors
Department
Civil and Environmental Engineering
Language
English
Subjects
Sonification, Lua, SuperCollider, CAM, Photosynthesis, Agave
Abstract
Sonification is a powerful tool that is harnessed by modern engineers to represent information through audio, and is beginning to be used to interpret more complex data sets. Sonification can be used to facilitate the listeners' ability to grasp microscopic or complex changes in the state of a system. This study uses the assigning of sound patterns to model outputs that indicate chaotic or non-chaotic systems in Crassulacean acid metabolism photosynthesis. Using sound allows the interpretation of chaotic data without the more time intensive processes typically used, such as of Fast Fourier Transformations. Based on past research, it is known what environmental conditions result in chaos for the photosynthesis model, Photo3. The goal of the $agave$ script is to enable instantaneous understanding of the chaos state of the photosynthetic system. By changing model inputs using a musical instrument digital interface controller, model inputs for light intensity, light period, and temperature, can be manipulated in real time to move between chaotic or non-chaotic regimes. Changes in the audio pattern played from norns illustrates when the model shifts between dynamic system outcomes. The results were successful in distinguishing chaotic regimes, showing all three possibilities that exist in this dynamic system: periodic, chaotic, and a stable fixed point.
Recommended Citation
Turley, Duncan, "Differentiating dynamic system outcomes in CAM photosynthesis through sonification" (2024). Civil and Environmental Engineering Undergraduate Honors Theses. 17.