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.

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