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PUBLICATIONS

Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters

Published

Author(s)

Bradley K. Alpert, William B. Doriese, Joseph W. Fowler, Joel N. Ullom

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
Pub Type
Journals

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Local Download

Keywords

microcalorimeter, uncertainty, filter algorithms, high-rate processing
Modeling and simulation research

Citation

Alpert, B. , Doriese, W. , Fowler, J. and Ullom, J. (2011), Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters, Journal of Low Temperature Physics, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=909156 (Accessed October 10, 2025)

Issues

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Created December 1, 2011, Updated February 19, 2017
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