2++ Di-gluonium from Laplace sum rules at higher order
Bibliographic record
Abstract
We improve the determination of the mass and coupling of the [Formula: see text] tensor di-gluonium by using relativistic QCD Laplace sum rules (LSRs). In so doing, we evaluate the next-to-leading order (NLO) corrections to the perturbative (PT) and [Formula: see text] condensate and the lowest-order (LO) [Formula: see text] contributions to the [Formula: see text] di-gluonium two-point correlator. Within a vacuum saturation estimate ([Formula: see text]) of the dimension-eight gluon condensates, we obtain: [Formula: see text] and the renormalization group invariant (RGI) coupling [Formula: see text]. Assuming that the factorization hypothesis can be violated, we study the effect of the violation factor [Formula: see text] on the results and obtain: [Formula: see text] and [Formula: see text] for [Formula: see text]. Our estimation does not favor the interpretation of the observed [Formula: see text], [Formula: see text] and [Formula: see text] as pure glueball states.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".