Atmospheric neutrino oscillation analysis with neutron tagging and an expanded fiducial volume in Super-Kamiokande I–V
Bibliographic record
Abstract
We present a measurement of neutrino oscillation parameters with the Super-Kamiokande detector using atmospheric neutrinos from the complete pure-water SK I–V (April 1996–July 2020) dataset, including events from an expanded fiducial volume. The dataset corresponds to 6511.3 live days and an exposure of 484.2 kiloton-years. Measurements of the neutrino oscillation parameters <a:math xmlns:a="http://www.w3.org/1998/Math/MathML" display="inline"><a:mi mathvariant="normal">Δ</a:mi><a:msubsup><a:mi>m</a:mi><a:mrow><a:mn>3</a:mn><a:mn>2</a:mn></a:mrow><a:mn>2</a:mn></a:msubsup></a:math>, <d:math xmlns:d="http://www.w3.org/1998/Math/MathML" display="inline"><d:msup><d:mi>sin</d:mi><d:mn>2</d:mn></d:msup><d:msub><d:mi>θ</d:mi><d:mrow><d:mn>2</d:mn><d:mn>3</d:mn></d:mrow></d:msub></d:math>, <f:math xmlns:f="http://www.w3.org/1998/Math/MathML" display="inline"><f:msup><f:mi>sin</f:mi><f:mn>2</f:mn></f:msup><f:msub><f:mi>θ</f:mi><f:mrow><f:mn>1</f:mn><f:mn>3</f:mn></f:mrow></f:msub></f:math>, <h:math xmlns:h="http://www.w3.org/1998/Math/MathML" display="inline"><h:msub><h:mi>δ</h:mi><h:mi>CP</h:mi></h:msub></h:math>, and the preference for the neutrino mass ordering are presented with atmospheric neutrino data alone, and with constraints on <j:math xmlns:j="http://www.w3.org/1998/Math/MathML" display="inline"><j:msup><j:mi>sin</j:mi><j:mn>2</j:mn></j:msup><j:msub><j:mi>θ</j:mi><j:mrow><j:mn>1</j:mn><j:mn>3</j:mn></j:mrow></j:msub></j:math> from reactor neutrino experiments. Our analysis including constraints on <l:math xmlns:l="http://www.w3.org/1998/Math/MathML" display="inline"><l:msup><l:mi>sin</l:mi><l:mn>2</l:mn></l:msup><l:msub><l:mi>θ</l:mi><l:mrow><l:mn>1</l:mn><l:mn>3</l:mn></l:mrow></l:msub></l:math> favors the normal mass ordering at the 92.3% level. Published by the American Physical Society 2024
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.008 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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; both teacher heads agree on what is shown here.
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".