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The Taiwanese-American Occultation Survey (TAOS) monitors fields of up to~1000 stars at 5 Hz simultaneously with four small telescopes to detectoccultation events from small (~1 km) Kuiper Belt Objects (KBOs). The surveypresents a number of challenges, in particular the fact that the occultationevents we are searching for are extremely rare and are typically manifested asslight flux drops for only one or two consecutive time series measurements. Wehave developed a statistical analysis technique to search the multi-telescopedata set for simultaneous flux drops which provides a robust false positiverejection and calculation of event significance. In this paper, we describe indetail this statistical technique and its application to the TAOS data set.

The TAOS Project: Statistical Analysis of Multi-Telescope Time Series Data