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Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses



Joseph W. Fowler, Christine G. Pappas, Bradley K. Alpert, William B. Doriese, Galen C. O'Neil, Joel N. Ullom, Daniel S. Swetz


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.
Journal of Low Temperature Physics


Microcalorimeters, X-ray pulses, Pulse analysis


Fowler, J. , Pappas, C. , Alpert, B. , Doriese, W. , O'Neil, G. , Ullom, J. and Swetz, D. (2018), Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses, Journal of Low Temperature Physics, [online], (Accessed April 24, 2024)
Created March 8, 2018, Updated November 10, 2018