Improving the Composition of Ultra High Energy Cosmic Rays with Ground Detector Data

We show that the maximum shower depth ($X_{\rm max}$) distributions of Ultra-High Energy Cosmic Rays (UHECRs), as measured by fluorescence telescopes, can be augmented by building a mapping to observables collected by surface detectors. Using the publicly available data on "golden hybrid'' events from the Pierre Auger Observatory we demonstrate significant correlations between $X_{\rm max}$ and timing information from ground Cherenkov detectors. Using such a mapping we show how to incorporate a subset of ground data into the inference of the $X_{\rm max}$ distribution, where the size of this subset depends on the strength of the correlation found. With a simple linear fit model, we are able to effectively incorporate $\sim13\%$ of all ground data statistics. Finally, we use this augmented dataset to infer the composition of UHECRs and discriminate between hadronic models used in air shower development simulations, and show the results improve significantly due to the effectively larger statistics available.