Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses
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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 successfully apply our chosen 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.
KeywordsMicrocalorimeters X-ray pulses Pulse analysis
This work was supported by NIST’s Innovations in Measurement Science program and by NASA SAT NNG16PT18I, “Enabling and enhancing technologies for a demonstration model of the Athena X-IFU.” C.G.P. is supported by a National Research Council Post-Doctoral Fellowship. The contribution of NIST is not subject to copyright.
- 12.C.G. Pappas, J.W. Fowler, D.A. Bennett et al., J. Low Temp. Phys. (in preparation)Google Scholar