Researcher(s)
- Zeke Rein, Physics, Reed College
Faculty Mentor(s)
- Chitraleema Chakraborty, Materials Science and Engineering, University of Delaware
Abstract
Photoluminescence spectroscopy data is collected for molybdenum disulfide monolayers to determine the magneto-optical response of localized defects. Manual analysis and visualization of this spectroscopy data is inefficient and time-intensive, so a Python automation procedure is introduced to fully process and plot raw data with minimal user input. Time spent on data analysis was reduced significantly, and the same automation procedure can be used for future magneto-optical analysis of different 2D TMDs.