Use of the Julia programming language for the analysis of TESS data

We have experimented with Julia for the analysis of TESS data in cases where the speed of Python is limiting: transit modeling and fitting, and processing of time series stacks of TESS Full Frame Images. This poster highlights the features of Julia programming, contrasts those against the familiar Python and Matlab languages, and compares the outcomes for test cases. These results demonstrate a significant decrease in processing time with Julia for large data arrays, especially when optimized for multiprocessing.