Predicting positive parity <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"><mml:msub><mml:mrow><mml:mi>B</mml:mi></mml:mrow><mml:mrow><mml:mi>s</mml:mi></mml:mrow></mml:msub></mml:math> mesons from lattice QCD
Bibliographic record
Abstract
We determine the spectrum of B s 1P states using lattice QCD . For the B s 1 ( 5830 ) and ⁎ B s 2 ⁎ ( 5840 ) mesons, the results are in good agreement with the experimental values. Two further mesons are expected in the quantum channels J P = 0 + and 1 + near the BK and ⁎ B ⁎ K thresholds. A combination of quark–antiquark and ⁎ B ( ⁎ ) meson–Kaon interpolating fields are used to determine the mass of two QCD bound states below the ⁎ B ( ⁎ ) K threshold, with the assumption that mixing with ⁎ B s ( ⁎ ) η and isospin-violating decays to ⁎ B s ( ⁎ ) π are negligible. We predict a J P = 0 + bound state B s 0 with mass m B s 0 = 5.711 ( 13 ) ( 19 ) GeV . With further assumptions motivated theoretically by the heavy quark limit, a bound state with m B s 1 = 5.750 ( 17 ) ( 19 ) GeV is predicted in the J P = 1 + channel. The results from our first principles calculation are compared to previous model-based estimates.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".