  The ability for citizen scientists to analyze image data and search for
exoplanets using images from small telescopes has the potential to greatly
accelerate the search for exoplanets. Recent work on the Exoplanet Transit
Interpretation Code (EXOTIC) enables the generation of high-quality light
curves of exoplanet transits given such image data. However, on large image
datasets, the photometric analysis of the data and fitting light curves can be
a time-consuming process. In this work, we first optimize portions of the
EXOTIC codebase to enable faster image processing and curve fitting.
Specifically, we limited repetitive computation on fitting centroids with
various apertures and annuli. Moreover, this speedup is scaled linearly based
on the number of FITS files. After testing on existing HAT-P-32 b data and
newer HAT-P-23 b data, our best demonstration was approximately a 5x speedup,
though that factor increases given a larger number of FITS files. Utilizing the
accelerated code, we analyzed transits of HAT-P-23 b, Qatar-1 b, WASP-2 b, and
WASP-33 b using data captured by the 16" SRO telescope operated by Boyce-Astro.
