2015
DOI: 10.1016/j.apradiso.2015.06.008
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Characterizations of BC501A and BC537 liquid scintillator detectors

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Cited by 16 publications
(3 citation statements)
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“…𝜇 𝑖,edge = 1.05𝜇 𝑖 . The shifted position of the error function centroid was motivated by the experimental observation that the true Compton edge position is typically closer to the point on the Compton edge at 2/3 of the edge maximum, rather than 1/2 where the centroid of the complementary error function is located [42,45]. An initial fit was performed to estimate the standard deviations of the peaks, after which the final fit was performed using limits of ±5𝜎 from the initial fit.…”
Section: Jinst 19 P01008mentioning
confidence: 99%
“…𝜇 𝑖,edge = 1.05𝜇 𝑖 . The shifted position of the error function centroid was motivated by the experimental observation that the true Compton edge position is typically closer to the point on the Compton edge at 2/3 of the edge maximum, rather than 1/2 where the centroid of the complementary error function is located [42,45]. An initial fit was performed to estimate the standard deviations of the peaks, after which the final fit was performed using limits of ±5𝜎 from the initial fit.…”
Section: Jinst 19 P01008mentioning
confidence: 99%
“…This time represents the duration between the onset of the signal and the occurrence of the pulse. The first function, labeled Signal Filtering and CFD in Figure 5, applies lowpass filtering to the signals using a 20-tap FIR filter defined in Equation (1), where Xn and Yn are the input and output samples, respectively. The decision to use a 20-tap FIR filter is based on the fact that the values decrease with each iteration, and values beyond 20 have a negligible impact on the final result.…”
Section: Signal Peak Estimationmentioning
confidence: 99%
“…The light is then collected by a photomultiplier and converted into an electric pulse. The pulse shape produced by gamma photons differs from those produced by neutrons, and thus, an analysis of the pulse allows discrimination between both kinds of particles [1,2]. Guerrero et al developed an improved method of digital pulse shape analysis (DPSA) [3], which is based on the integration of two different ranges of the signal.…”
Section: Introductionmentioning
confidence: 99%