Precision measurement of neutrino oscillation parameters : combined three-phase results of the sudbury neutrino observatory
Bibliographic record
Abstract
The Sudbury Neutrino Observatory has successfully demonstrated neutrino flavour transformation in the neutrinos produced in the Sun.The use of heavy water as the detection medium allowed a measurement of both the total active solar neutrino flux and the pure electron neutrino component.This work presents the results of a neutrino oscillation analysis of the latest combined analysis of all phases of the experiment, aiming to obtain the most precise measurement of the neutrino mixing parameters relevant for solar neutrinos.The results obtained show a precision on tan 2 12 better than 10% both on a two and three flavour analysis of all solar neutrino data.A three-flavor neutrino oscillation analysis combining the results of all solar neutrino experiments and the KamLAND experiment yielded m 2 21 = (7.41+0.21 -0.19 ) 10 -5 eV 2 , tan 2 12 = 0.446 +0.030 -0.029 , and sin 2 13 = (2.5 +1.8 -1.5 ) 10 -2 , which implies an upper bound of sin 2 13 < 0.053 at the 95% confidence level (C.L.).The newly obtained results also demonstrate a shift of the 12 mixing angle towards lower values, increasing the tension with the KamLAND experiment slightly increasing the significance of a nonzero 13 .A combined analysis of neutrino data from multiple sources was performed in an attempt to obtain an enhanced constrain on 13 , with a result of a non-zero 13 with a statistical significance of 3.2 .This work also presents improvements in the optical calibration of the detector in the NCD phase, having reached a precision in the optical parameters comparable to the results of the previous phases, despite the added difficulty with the introduction of the neutral current detector (NCD) into the heavy water (D 2 O) volume.These improvements permitted to reduce the systematic uncertainties in the energy reconstruction and therefore extract the most interesting physics from the full data set of SNO.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".