Thesis
Calibration of the SNO+ detector using natural radioactivity and first demonstration of multisite discrimination for solar neutrinos
- Abstract:
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A high-precision measurement of the 8B solar neutrino flux in the 2.0 to 6.0 MeV transition region is a key objective in neutrino physics. This region, where the νe survival probabilities are highly sensitive to physics beyond the Standard Model, such as non-standard neutrino interactions or additional neutrino flavors, remains largely unexplored. However, challenges arise due to the high rates of internal 208Tl radioactive backgrounds in liquid scintillator detectors. This thesis introduces multisite event discrimination as an effective method to enhance the precision of 8B solar flux measurements in this background-dominated energy regime. A Bayesian optimization calibration method was developed using internal 214Bi-214Po coincidences to extract clean α and β event samples. These samples were used to build precise models of the scintillation response, leading to the creation of high-accuracy probability density functions (PDFs) for 8B solar flux fitting. For the first time, multisite event discrimination was applied to liquid scintillator data, yielding a 30% improvement in measurement precision when combined with energy PDF information, as compared to fits performed in energy alone.
Sensitivity projections for the upcoming SNO+ bisMSB phase, featuring improved light yields and faster timing, show a 17% increase in precision over the current full-fill phase, with position resolution enhanced to 6 cm.
While this work marks a significant step towards achieving a high-precision measurement of the 8B solar flux in the transition region, future analyses will integrate multisite, energy, and 212Bi-208Tl coincidence tagging into the likelihood functions, maximizing the information extracted to further refine measurement precision.
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- Files:
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(Preview, Dissemination version, pdf, 3.8MB, Terms of use)
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Authors
Contributors
+ Biller, S
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Physics
- Sub department:
- Particle Physics
- Research group:
- SNO+
- Oxford college:
- Mansfield College
- Role:
- Supervisor
+ Science and Technology Facilities Council
More from this funder
- Funder identifier:
- https://ror.org/057g20z61
- DOI:
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
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English
- Keywords:
- Subjects:
- Deposit date:
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2026-02-27
- ARK identifier:
Terms of use
- Copyright holder:
- Rafael Hunt-Stokes
- Copyright date:
- 2024
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