2020
DOI: 10.1007/s10909-020-02487-2
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Lowering the Energy Threshold of the CUORE Experiment: Benefits in the Surface Alpha Events Reconstruction

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Cited by 9 publications
(8 citation statements)
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“…During data acquisition, we save continuous detector waveforms that are digitally triggered offline. To increase the signal-to-noise ratio (SNR) and study low energy phenomena, we apply a low threshold trigger algorithm based on the optimum filter (OF) technique [30,31]. We divide our data into time periods of one to two months characterized by the same operating conditions and refer to them collectively as datasets.…”
Section: The Cuore Experimentsmentioning
confidence: 99%
“…During data acquisition, we save continuous detector waveforms that are digitally triggered offline. To increase the signal-to-noise ratio (SNR) and study low energy phenomena, we apply a low threshold trigger algorithm based on the optimum filter (OF) technique [30,31]. We divide our data into time periods of one to two months characterized by the same operating conditions and refer to them collectively as datasets.…”
Section: The Cuore Experimentsmentioning
confidence: 99%
“…We set a common analysis threshold of 40 keV to guarantee that our trigger efficiency is above 90% for the majority (97%) of our detectors while also being low enough to reliably remove multi-Compton events from the ROI with the anti-coincidence cut. Our improved ability to detect low-energy events using this OT method also increases the efficiency with which we can reconstruct events that release energy in more than one calorimeter, improving our background reconstruction ability [49,53].…”
Section: Acknowledgmentsmentioning
confidence: 99%
“…The data analysis procedure is described in detail in [70] and mostly follows the strategy adopted for CUORE-0 [96]. Recent improvements include a significant lowering of the detectors energy threshold thanks to the application of the optimum trigger algorithm based on the matched filter technique [98,99] and the introduction of a new methodology for pulse shape analysis with higher efficiencies [100]. The energy thresholds have a relevant role on the effectiveness of the anti-coincidence analysis.…”
Section: Beyond Standard Model Decay Of 130 Tementioning
confidence: 99%