Program Type
Undergraduate
Faculty Advisor
Dr. Jessica Young
Document Type
Poster
Location
Face-to-face
Start Date
18-4-2024 4:00 PM
Abstract
Investigation into producing a machine learning algorithm that allows a He-Ne laser to classify whether a produced beam shape is uniformly gaussian or not, in order to adaptively move the laser to consistently target the encoded interference pattern area. This will then result in continuous uniform beam shapes of the desired output.
Recommended Citation
Reynolds, Quinlin, "Adapt Laser Shaping" (2024). ATU Research Symposium. 62.
https://orc.library.atu.edu/atu_rs/2024/2024/62
Included in
Adapt Laser Shaping
Face-to-face
Investigation into producing a machine learning algorithm that allows a He-Ne laser to classify whether a produced beam shape is uniformly gaussian or not, in order to adaptively move the laser to consistently target the encoded interference pattern area. This will then result in continuous uniform beam shapes of the desired output.