most citedApplication of deep learning to the evaluation of goodness in the waveform processing of transition-edge sensor calorimeters

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astro-ph.IM2022★ 1 cited

Application of deep learning to the evaluation of goodness in the waveform processing of transition-edge sensor calorimeters

Y. Ichinohe, S. Yamada, R. Hayakawa +5

Optimal filtering is the crucial technique for the data analysis of transition-edge-sensor (TES) calorimeters to achieve their state-of-the-art energy resolutions. Filtering out th…