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Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses
Published
Author(s)
Joseph W. Fowler, Christine G. Pappas, Bradley K. Alpert, William B. Doriese, Galen C. O'Neil, Joel N. Ullom, Daniel S. Swetz
Abstract
We consider how to analyze microcalorimeter pulses for quantities that are nonlinear in the data, while preserving the signal-to-noise advantages of linear optimal filtering. We apply the approach to compute the electrothermal feedback energy deficit (the Joule energy) of a pulse, which has been proposed as a linear estimator of the deposited photon energy.