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We present a robust statistical analysis of the white dwarf cooling sequencein 47 Tucanae. We combine HST UV and optical data in the core of the cluster,Modules for Experiments in Stellar Evolution (MESA) white dwarf cooling models,white dwarf atmosphere models, artificial star tests, and a Markov Chain MonteCarlo (MCMC) sampling method to fit white dwarf cooling models to our datadirectly. We use a technique known as the unbinned maximum likelihood to fitthese models to our data without binning. We use these data to constrainneutrino production and the thickness of the hydrogen layer in these whitedwarfs. The data prefer thicker hydrogen layers $(q_\mathrm{H}=3.2\e{-5})$ andwe can strongly rule out thin layers $(q_\mathrm{H}=10^{-6})$. The neutrinorates currently in the models are consistent with the data. This analysis doesnot provide a constraint on the number of neutrino species.

Constraining white dwarf structure and neutrino physics in 47 Tucanae