1. Energy calibration of nonlinear microcalorimeters with uncertainty estimates from Gaussian process regression
- Author
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Fowler, J. W., Alpert, B. K., O'Neil, G. C., Swetz, D. S., and Ullom, J. N.
- Subjects
Physics - Instrumentation and Detectors ,Physics - Data Analysis, Statistics and Probability - Abstract
The nonlinear energy response of cryogenic microcalorimeters is usually corrected through an empirical calibration. X-ray or gamma-ray emission lines of known shape and energy anchor a smooth function that generalizes the calibration data and converts detector measurements to energies. We argue that this function should be an approximating spline. The theory of Gaussian process regression makes a case for this functional form. It also provides an important benefit previously absent from our calibration method: a quantitative uncertainty estimate for the calibrated energies, with lower uncertainty near the best-constrained calibration points., Comment: Submitted to J. Low Temperature Physics for the Proceedings of the 19th International Workshop on Low-Temperature Detectors (2021)
- Published
- 2022
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