Alpha-$^{6}$He scattering and the quest for microscopic guidance for orthogonalizing pseudopotentials
Bibliographic record
Abstract
The multi-channel algebraic scattering (MCAS) method, mainly used for nucleon-nucleus processes, has been upgraded to solve coupled sets of Lippmann-Schwinger equations for the α+ 6 He cluster system.A phenomenological Hamiltonian has been found that gives good agreement with the known bound states and the first few low-lying resonances for 10 Be.We have also calculated low-energy α-6 He-scattering cross sections finding reasonable reproduction of low-energy differential cross sections.This MCAS model Hamiltonian contains some free parameters for the Orthogonalizing Pseudo Potential (OPP) that are difficult to guess and interpret.We have used an algebraic version of the resonating-group method to analyze microscopically the α+ 6 He system and to derive the eigenvalues of the anti-symmetrization kernel in the Schroedinger equation.The deviation from unity of the Pauli-allowed eigenvalues introduces an effective inter-cluster interaction, genuinely generated by the Pauli/exchange effects, which can be used to qualitatively interpret the structure of the corresponding OPP.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".