Adaptive analytical mapping procedure for efficiently solving the radial Schrödinger equation
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Bibliographic record
Abstract
This paper shows that replacing the usual integration variable $r∊[0,\ensuremath{\infty})$ by a reduced radial variable $y\ensuremath{\equiv}y(r;\stackrel{P\vec}{\ensuremath{\alpha}})$ defined analytically on a finite domain $y∊[a,b]$ transforms the conventional radial Schr\"odinger equation into an equivalent form in which treatment of levels lying extremely close to dissociation becomes just as straightforward and routine as treating levels in the lower part of the potential well. Explicit integral expressions for the eigenvalue error due to the use of a finite step size in finite-difference methods of numerical integration are presented and are used to improve calculated eigenvalues as well as to determine optimal values of the mapping parameters $\stackrel{P\vec}{\ensuremath{\alpha}}$. This adaptive mapping procedure is shown to be versatile and efficient for both finite-difference and pseudospectral methods.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it