Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses
arXiv:1803.02827 · doi:10.1007/s10909-018-1892-5
Abstract
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.
arXiv commentAccepted by Journal of Low Temperature Physics. Contribution to the proceedings of Low Temperature Detectors 17, (Kurume Japan, 2017)
References in corpus (5)
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Cited by in corpus (6)
- Improving the dynamic range of single photon counting kinetic inductance detectors
- Transition-Edge Sensors for cryogenic X-ray imaging spectrometers
- A robust principal component analysis for outlier identification in messy microcalorimeter data
- A Highly Linear Calibration Metric for TES X-ray Microcalorimeters
- Absolute Energy Measurements with Superconducting Transition-Edge Sensors for Muonic X-ray Spectroscopy at 44 keV
- Template-free Pulse Height Estimation of Microcalorimeter Responses with PCA