Combined analysis of all three phases of solar neutrino data from the Sudbury Neutrino Observatory
Why this work is in the frame
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Bibliographic record
Abstract
We report results from a combined analysis of solar neutrino data from all phases of the Sudbury Neutrino Observatory (SNO). By exploiting particle identification information obtained from the proportional counters installed during the third phase, this analysis improved background rejection in that phase of the experiment. The combined analysis of the SNO data resulted in a total flux of active neutrino flavors from ${}^{8}\mathrm{B}$ decays in the Sun of $(5.25\ifmmode\pm\else\textpm\fi{}0.16{(\mathrm{stat}.)}_{\ensuremath{-}0.13}^{+0.11}(\mathrm{syst}.))\ifmmode\times\else\texttimes\fi{}{10}^{6}\phantom{\rule{0.16em}{0ex}}{\mathrm{cm}}^{\ensuremath{-}2}{\mathrm{s}}^{\ensuremath{-}1}$, while a two-flavor neutrino oscillation analysis yielded $\ensuremath{\Delta}{m}_{21}^{2}=(5.{6}_{\ensuremath{-}1.4}^{+1.9})\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5}\phantom{\rule{0.16em}{0ex}}{\mathrm{eV}}^{2}$ and ${\mathrm{tan}}^{2}{\ensuremath{\theta}}_{12}=0.{427}_{\ensuremath{-}0.029}^{+0.033}$. A three-flavor neutrino oscillation analysis combining the SNO result with results of all other solar neutrino experiments and reactor neutrino experiments yielded $\ensuremath{\Delta}{m}_{21}^{2}=(7.{46}_{\ensuremath{-}0.19}^{+0.20})\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}5}\phantom{\rule{0.16em}{0ex}}{\mathrm{eV}}^{2}$, ${\mathrm{tan}}^{2}{\ensuremath{\theta}}_{12}=0.{443}_{\ensuremath{-}0.025}^{+0.030}$, and ${\mathrm{sin}}^{2}{\ensuremath{\theta}}_{13}=(2.{49}_{\ensuremath{-}0.32}^{+0.20})\ifmmode\times\else\texttimes\fi{}{10}^{\ensuremath{-}2}$.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it