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PUBLICATIONS

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.
Citation
Journal of Low Temperature Physics
Pub Type
Journals

Download Paper

https://doi.org/10.1007/s10909-018-1892-5

Keywords

Microcalorimeters, X-ray pulses, Pulse analysis
Sensors, Superconducting electronics and Image and signal processing

Citation

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], https://doi.org/10.1007/s10909-018-1892-5 (Accessed April 24, 2024)

Created March 8, 2018, Updated November 10, 2018