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A simple probabilistic numerical model was used to construct synthetic De distributions by combining the simulated OSL from grains of different sensitivities and with various simulated De values. This is useful for exploring the complex patterns generated by summing the signals from many grains in real, multiple grain OSL dating scenarios, and demonstrates that the form of the sensi- tivity distribution has a significant effect on the identification of mixed dose populations in multiple grain single aliquot methods. I describe the simple numerical model and its implementation. I present measured quartz single grain OSL sensitivity distributions for an aeolian dune sample from the Simp- son Desert, Northern Territory, Australia, and from a suite of 9 fluvial sediments from Namadgi Na- tional Park, Australian Capital Territory, Australia, to illustrate effects that result from natural differ- ences. Minimum age model determinations of synthetic De values are used to assess the validity of dose values estimated from multiple grain single aliquot measurements.

Quartz Single Grain Osl Sensitivity Distributions: Implications for Multiple Grain Single Aliquot Dating