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One of the most striking properties of galaxies is the bimodality in theirstar-formation rates. A major puzzle is why any given galaxy is star-forming orquiescent, and a wide range of physical mechanisms have been proposed assolutions. We consider how observations, such as might be available in upcominglarge galaxy surveys, might distinguish different galaxy quenching scenarios.To do this, we combine an N-body simulation and multiple prescriptions from theliterature to create several quiescent galaxy mock catalogues. Eachprescription uses a different set of galaxy properties (such as history,environment, centrality) to assign individual simulation galaxies as quiescent.We find how and how much the resulting quiescent galaxy distributions differfrom each other, both intrinsically and observationally. In addition to tracingobservational consequences of different quenching mechanisms, our resultsindicate which sorts of quenching models might be most readily disentangled byupcoming observations and which combinations of observational quantities mightprovide the most discriminatory power.  Our observational measures are auto, cross, and marked correlation functions,pro- jected density distributions, and group multiplicity functions, which relyupon galaxy positions, stellar masses and of course quiescence. Althoughdegeneracies between models are present for individual observations, usingmultiple observations in concert allows us to distinguish between all tenmodels we consider. In addition to identifying intrinsic and observationalconsequences of quiescence prescriptions and testing these quiescence modelsagainst each other and observations, these methods can also be used to validatecolors (or other history and environment dependent properties) in simulatedmock catalogues.

Using large galaxy surveys to distinguish z~0.5 quiescent galaxy models