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Publication Citation: Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters

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Author(s): Bradley K. Alpert; William B. Doriese; Joseph W. Fowler; Joel N. Ullom;
Title: Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters
Published: December 01, 2011
Abstract: The energy resolution of a high-pulse-rate filtering algorithm recently introduced by Hui Tan et al., based on running sums of TES microcalorimeter output streams, is predicted from average pulse shape and noise autocovariance. We compare with empirical resolution, and with optimal filtering predicted and empirical resolution, for a 55 Fe source measured by multiplexed 2×4, 2×8, and 2×12 arrays of microcalorimeters.
Citation: Journal of Low Temperature Physics
Issue: 10909-011-0441-2
Pages: 6 pp.
Keywords: microcalorimeter;uncertainty;filter algorithms;high-rate processing
Research Areas: Modeling
PDF version: PDF Document Click here to retrieve PDF version of paper (378KB)