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Predicted Energy Resolution of a Running-Sum Algorithm for Microcalorimeters



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


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.
Journal of Low Temperature Physics


microcalorimeter, uncertainty, filter algorithms, high-rate processing


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], (Accessed April 25, 2024)
Created December 1, 2011, Updated February 19, 2017