Optimum filter-based analysis for the characterization of a high-resolution magnetic microcalorimeter towards the DELight experiment
Francesco Toschi, Benedikt Maier, Greta Heine, Torben Ferber,, Sebastian Kempf, Markus Klute, Belina von Krosigk

TL;DR
This paper demonstrates an optimized filter-based analysis method for a high-resolution magnetic microcalorimeter, achieving unprecedented energy resolution crucial for dark matter detection in the DELight experiment.
Contribution
It introduces an advanced analysis pipeline using optimum filters for magnetic microcalorimeters, enhancing energy resolution and aiding dark matter research.
Findings
Achieved a FWHM energy resolution of approximately 1.25 eV.
Identified limiting factors affecting measurement precision.
Developed an analysis pipeline applicable to superfluid helium-based detectors.
Abstract
Ultra-sensitive cryogenic calorimeters have become a favored technology with widespread application where eV-scale energy resolutions are needed. In this article, we characterize the performance of an X-ray magnetic microcalorimeter (MMC) using a Fe-55 source. Employing an optimum filter-based amplitude estimation and energy reconstruction, we demonstrate that an unprecedented FWHM resolution of can be achieved. We also derive the best possible resolution and discuss limiting factors affecting the measurement. The analysis pipeline for the MMC data developed in this paper is furthermore an important step for the realization of the proposed superfluid helium-based experiment DELight, which will search for direct interaction of dark matter with masses…
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Taxonomy
TopicsSuperconducting and THz Device Technology · Physics of Superconductivity and Magnetism · Scientific Research and Discoveries
