Abstract
In order to turn the raw hit and trigger data read out in SNO\(+\) detector events into a 0\(\nu \beta \beta \) analysis, one must first determine what events produced them. Reconstruction is the process of inferring high level particle information from the data read out in each event.
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Notes
- 1.
For events with \(r_{fit} < 1\)Â m. The total number of generated p.e. is around 20% larger, but not all PMTs receiving a p.e. will cross threshold.
- 2.
The relation won’t hold exactly because the p.e. are not completely independent: a PMT is more likely to register a hit if it has already recieved a p.e. that did not cause it to cross charge threshold.
- 3.
Note that the condition is absolute, rather than a comparison with \(\tilde{\mu }\), this means that variation between PMT efficiencies sets an upper limit on \(\mu \) for this technique. The method breaks down once \(\mu > 1/\Delta E\), where \(\Delta E\) is the maximum fractional difference between any two PMT efficiencies within the ensemble.
- 4.
The first of two photons will, on average, arrive before a single photon.
- 5.
i.e. all of the parameters in the hypothesis are specified.
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Dunger, J. (2019). Reconstruction. In: Event Classification in Liquid Scintillator Using PMT Hit Patterns. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-31616-7_3
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DOI: https://doi.org/10.1007/978-3-030-31616-7_3
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