We consider how to analyze microcalorimeter pulses for quantities that are nonlinear in the data, while preserving the signal-to-noise advantages of lin- ear 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.
@article{arxiv.1803.02827,
title = {Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses},
author = {J. W. Fowler and C. G. Pappas and B. K. Alpert and W. B. Doriese and G. C. O'Neil and J. N. Ullom and D. S. Swetz},
journal= {arXiv preprint arXiv:1803.02827},
year = {2018}
}
Comments
Accepted by Journal of Low Temperature Physics. Contribution to the proceedings of Low Temperature Detectors 17, (Kurume Japan, 2017)