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Charge reconstruction in large-area photomultipliers
Grassi, M; Montuschi, M; Baldoncini, M; Mantovani, F; Ricci, B; ronico, G; Antonelli, V; Bellato, M; Bernieri, E; Brigatti, A; Brugnera, R; Budano, A; Buscemi, M; Bussino, S; Caruso, R; Chiesa, D; Corti, D; Dal Corso, F; Ding, XF; Dusini, S; Fabbri, A; Fiorentini, G; Ford, R; Formozov, A; Galet, G; Garfagnini, A; Giammarchi, M; Giaz, A; Insolia, A; Isocrate, R; Lippi, I; Longhitano, F; Lo Presti, D; Lombardi, P; Marini, F; Mari, SM; Martellini, C; Meroni, E; Mezzetto, M; Miramonti, L; Monforte, S; Nastasi, M; Ortica, F; Paoloni, A; Parmeggiano, S; Pedretti, D; Pelliccia, N; Pompilio, R; Previtali, E; Ranucci, G; Re, AC; Romani, A; Saggese, P; Salamanna, G; Sawy, FH; Settanta, G; Sisti, M; Sirignano, C; Spinetti, M; Stanco, L; Strati, V; Verde, G; Votano, L
AbstractLarge-area PhotoMultiplier Tubes (PMT) allow to efficiently instrument Liquid Scintillator (LS) neutrino detectors, where large target masses are pivotal to compensate for neutrinos' extremely elusive nature. Depending on the detector light yield, several scintillation photons stemming from the same neutrino interaction are likely to hit a single PMT in a few tens/hundreds of nanoseconds, resulting in several photoelectrons (PES) to pile-up at the PMT anode. In such scenario, the signal generated by each PE is entangled to the others, and an accurate PMT charge reconstruction becomes challenging. This manuscript describes an experimental method able to address the PMT charge reconstruction in the case of large PE pile-up, providing an unbiased charge estimator at the permille level up to 15 detected PES. The method is based on a signal filtering technique (Wiener filter) which suppresses the noise due to both PMT and readout electronics, and on a Fourier-based deconvolution able to minimize the influence of signal distortions - such as an overshoot. The analysis of simulated p m t waveforms shows that the slope of a linear regression modeling the relation between reconstructed and true charge values improves from 0.769 +/- 0.001 (without deconvolution) to 0.989 +/- 0.001 (with deconvolution), where unitary slope implies perfect reconstruction. A C++ implementation of the charge reconstruction algorithm is available online at [1].
KeywordCalorimeter methods Liquid detectors Photon detectors for UV, visible and IR photons (vacuum) (photomultipliers HPDs, others) Scintillators, scintillation and light emission processes (solid gas and liquid scintillators)
Indexed BySCI ; EI
WOS Research AreaInstruments & Instrumentation
WOS SubjectInstruments & Instrumentation
WOS IDWOS:000424193900001
EI Accession Number20181104910503
ADS Bibcode2018JInst..13P2008G
Citation statistics
Cited Times:2 [ADS]
Document Type期刊论文
First Author AffilicationInstitute of High Energy
Recommended Citation
GB/T 7714
Grassi, M,Montuschi, M,Baldoncini, M,et al. Charge reconstruction in large-area photomultipliers[J]. JOURNAL OF INSTRUMENTATION,2018,13:P02008.
APA Grassi, M.,Montuschi, M.,Baldoncini, M.,Mantovani, F.,Ricci, B.,...&Votano, L.(2018).Charge reconstruction in large-area photomultipliers.JOURNAL OF INSTRUMENTATION,13,P02008.
MLA Grassi, M,et al."Charge reconstruction in large-area photomultipliers".JOURNAL OF INSTRUMENTATION 13(2018):P02008.
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