The TAOS Project: Statistical Analysis of Multi-Telescope Time Series Data
Abstract
The Taiwanese-American Occultation Survey (TAOS) monitors fields of up to ~1000 stars at 5 Hz simultaneously with four small telescopes to detect occultation events from small (~1 km) Kuiper Belt Objects (KBOs). The survey presents a number of challenges, in particular the fact that the occultation events we are searching for are extremely rare and are typically manifested as slight flux drops for only one or two consecutive time series measurements. We have developed a statistical analysis technique to search the multi-telescope data set for simultaneous flux drops which provides a robust false positive rejection and calculation of event significance. In this paper, we describe in detail this statistical technique and its application to the TAOS data set.
Keywords
Cite
@article{arxiv.1002.3626,
title = {The TAOS Project: Statistical Analysis of Multi-Telescope Time Series Data},
author = {M. J. Lehner and N. K. Coehlo and Z. -W. Zhang and F. B. Bianco and J. -H. Wang and J. A. Rice and P. Protopapas and C. Alcock and T. Axelrod and Y. -I. Byun and W. P. Chen and K. H. Cook and I. de Pater and D. -W. Kim and S. -K. King and T. Lee and S. L. Marshall and M. E. Schwamb and S. -Y. Wang and C. -Y. Wen},
journal= {arXiv preprint arXiv:1002.3626},
year = {2015}
}
Comments
15 pages, 14 figures. Submitted to PASP