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In recent years we have witnessed an explosion of photometric time-seriesdata, collected for the purpose of finding a small number of rare sources, suchas transiting extrasolar planets and gravitational microlenses. Once combed,these data are often set aside, and are not further searched for the many othervariable sources that they undoubtedly contain. To this end, we describe apipeline that is designed to systematically analyze such data, while requiringminimal user interaction. We ran our pipeline on a subset of the Trans-AtlanticExoplanet Survey dataset, and used it to identify and model 773 eclipsingbinary systems. For each system we conducted a joint analysis of its lightcurve, colors, and theoretical isochrones. This analysis provided us withestimates of the binary's absolute physical properties, including the massesand ages of their stellar components, as well as their physical separations anddistances. We identified three types of eclipsing binaries that are ofparticular interest and merit further observations. The first category includes11 low-mass candidates, which may assist current efforts to explain thediscrepancies between the observation and the models of stars at the bottom ofthe main-sequence. The other two categories include 34 binaries with eccentricorbits, and 20 binaries with abnormal light curves. Finally, this uniformcatalog enabled us to identify a number of relations that provide furtherconstraints on binary population models and tidal circularization theory.

Identification, Classifications, and Absolute Properties of 773 Eclipsing Binaries Found in the TrES Survey