2D sigma models on noncompact Calabi-Yau manifolds and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mi mathvariant="script">N</mml:mi> <mml:mo>=</mml:mo> <mml:mn>2</mml:mn> </mml:math> Liouville theory
Bibliographic record
Abstract
We consider a class of two dimensional conformal N = 2 supersymmetric U ( 1 ) gauge linear sigma models with N fields of charges + 1 and N fields of charges − 1 , whose Higgs branches are noncompact toric Calabi-Yau manifolds of complex dimension 2 N − 1 . We show, starting from large- N approximation, that the Coulomb branch of these models, which opens up at strong coupling, is described by N = 2 Liouville theory and then extrapolate it to exact equivalence demanding the central charge of the Liouville theory to be c ^ = 2 N − 1 . Next, we concentrate on mostly physically attractive N = 2 and N ≥ 3 cases and find there a perfect agreement of the set of complex moduli on the Calabi-Yau side with the marginal deformations in N = 2 Liouville theory, supporting proposed exact equivalence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".