For a high source activity experiment, such as HOLMES, non-constant baseline pulses could constitute a great fraction of the data-set. We test the optimal filter matrix technique, proposed to process these pulses, on simulated responses of HOLMES microcalorimeters.

Ferrari, C., Borghesi, M., Faverzani, M., Ferri, E., Giachero, A., Nucciotti, A. (2021). Processing of non-constant baseline pulses: A matrix technique. IL NUOVO CIMENTO C, 44(2-3) [10.1393/ncc/i2021-21090-9].

Processing of non-constant baseline pulses: A matrix technique

Ferrari C.
;
Borghesi M.;Faverzani M.;Ferri E.;Giachero A.;Nucciotti A.
2021

Abstract

For a high source activity experiment, such as HOLMES, non-constant baseline pulses could constitute a great fraction of the data-set. We test the optimal filter matrix technique, proposed to process these pulses, on simulated responses of HOLMES microcalorimeters.
Articolo in rivista - Articolo scientifico
Low Temperature Detectors, digital signal processing, digital filters, data processing methods, dead-time reduction
English
2021
44
2-3
90
none
Ferrari, C., Borghesi, M., Faverzani, M., Ferri, E., Giachero, A., Nucciotti, A. (2021). Processing of non-constant baseline pulses: A matrix technique. IL NUOVO CIMENTO C, 44(2-3) [10.1393/ncc/i2021-21090-9].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/415357
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