Implantation studies of low-energy positive muons in niobium thin films
Bibliographic record
Abstract
Here we study the range of ke V positive muons μ + implanted in Nb 2 O 5 ( x nm)/Nb( y nm)/SiO 2 (300 nm)/Si [ x = 3 . 6 nm , 3 . 3 nm ; y = 42 . 0 nm , 60 . 1 nm ] thin films using low-energy muon spin spectroscopy (LE- μ SR). At implantation energies 1 . 3 keV ≤ E ≤ 23 . 3 keV , we compare the measured diamagnetic μ + signal fraction f dia. against predictions derived from implantation profile simulations using the TRIM.SP Monte Carlo code. Treating the implanted μ + as light protons p + , we find that simulations making use of updated stopping cross section data are in good agreement with the LE- μ SR measurements, in contrast to parameterizations found in earlier tabulations. Implications for other studies relying on accurate μ + stopping information are discussed.
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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 | 0.000 |
| 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) | 0.001 | 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 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".