To better understand several key event rates involving binary evolution and compact objects in Milky Way-like galaxies, we perform a methodical parameter study of the StarTrack population synthesis code. We significantly generalize earlier studies, and we provide thoroughly tested and well understood multidimensional fits for event rate results. These fits can be used in lieu of large-scale population calculations which are often forbiddingly computationally demanding. We anticipate that these efficient tools will facilitate the exploration of the dependence of rate predictions on a wide range binary evolution parameters and allow the derivation of constraints on these parameters, given empirical rate constraints and accounting for fitting errors.
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