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Activity Number:
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199
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Type:
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Invited
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Date/Time:
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Monday, August 3, 2009 : 2:00 PM to 3:50 PM
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Sponsor:
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IMS
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| Abstract - #302995 |
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Title:
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Coherent Statistical Calibration of High-Energy Photon Detectors
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Author(s):
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David A. van Dyk*+ and Vinay Kashyap and Hyunsook Lee and Rima Izem
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Companies:
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University of California, Irvine and Harvard-Smithsonian Center for Astrophysics and Harvard-Smithsonian Center for Astrophysics and Harvard University
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Address:
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Department of Statistics, 2206 Bren Hall, Irvine, CA, 92697-1250,
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Keywords:
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Astrophysics ; Bayesian Methods ; Markov Chain Monte Carlo ; Multi-Level Models ; Signal Processing ; Principle Component Analysis
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Abstract:
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As sophisticated new astronomical instrumentation leads to impressive strides in our understanding of the universe, it also generates massive data-analytic challenges. For example, space-borne high-energy photon detectors are subject to nonuniform stochastic censoring, heteroscedastic measurement errors, and background contamination. Thus, careful calibration is vital to transform noisy observations into meaningful scientific quantities, and, coherent statistical analysis requires that calibration uncertainties be folded into final estimates and intervals. High-dimensional uncertainties are quantified using sophisticated data-driven computer models and summarized with principle components. In this talk we describe a Bayesian approach that simultaneously models astronomical sources and a complex data generating mechanism while incorporating a computer model for calibration uncertainties.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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