REVIEW 2 cited by
Data-driven simultaneous vertex and energy reconstruction for large liquid scintillator detectors
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original abstract
High precision vertex and energy reconstruction is crucial for large liquid scintillator detectors such as JUNO, especially for the determination of the neutrino mass ordering by analyzing the energy spectrum of reactor neutrinos. This paper presents a data-driven method to obtain more realistic and more accurate expected PMT response of positron events in JUNO, and develops a simultaneous vertex and energy reconstruction method that combines the charge and time information of PMTs. For the JUNO detector, the impact of vertex inaccuracy on the energy resolution is about 0.6\%.
Forward citations
Cited by 2 Pith papers
-
An eightfold equivalence-preserving speedup of the JUNO OMILREC vertex and energy reconstruction
Staged equivalence-preserving optimizations cut JUNO's OMILREC reconstruction time from 1524.8 to 189.2 ms/event (8.06x) on an Intel Xeon, with numerical drift below 1.3e-14.
-
A method for energy and radius reconstruction with simulated charge information in a ton-scale liquid scintillator detector like Taishan Antineutrino Observatory
A charge-only maximum-likelihood reconstruction using calibration-derived nPE maps achieves ~4 cm vertex resolution and sub-1% relative energy-bias behavior for positrons in a ton-scale liquid scintillator detector.
Discussion (0). Continue with ORCID to comment.