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• W3182053209 abstract "Particle tracks and differential energy loss measured in high pressure gaseous detectors can be exploited for event identification in neutrinoless double beta decay~($0nu beta beta$) searches. We develop a new method based on Kalman Filter in a Bayesian formalism (KFB) to reconstruct meandering tracks of MeV-scale electrons. With simulation data, we compare the signal and background discrimination power of the KFB method assuming different detector granularities and energy resolutions. Typical background from $^{232}$Th and $^{238}$U decay chains can be suppressed by another order of magnitude than that in published literatures, approaching the background-free regime. For the proposed PandaX-III experiment, the $0nu beta beta$ search half-life sensitivity at the 90% confidence level would reach $2.7 times 10^{26}$~yr with 5-year live time, a factor of 2.7 improvement over the initial design target." @default.
• W3182053209 created "2021-07-19" @default.
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• W3182053209 date "2021-06-01" @default.
• W3182053209 modified "2023-09-26" @default.
• W3182053209 title "Signal identification with Kalman Filter towards background-free neutrinoless double beta decay searches in gaseous detectors" @default.
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• W3182053209 doi "https://doi.org/10.1007/jhep06(2021)106" @default.
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