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Record W4415345181 · doi:10.1016/j.nimb.2025.165954

Implantation studies of low-energy positive muons in niobium thin films

2025· article· en· W4415345181 on OpenAlexafffund
Ryan M. L. McFadden, Andreas Suter, Leon Ruf, Angelo Di Bernardo, Arnold Müller, Thomas Prokscha, Z. Salman, Tobias Junginger

Bibliographic record

VenueNuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms · 2025
Typearticle
Languageen
FieldEngineering
TopicMuon and positron interactions and applications
Canadian institutionsUniversity of VictoriaTRIUMF
FundersNatural Sciences and Engineering Research Council of CanadaPaul Scherrer Institut
KeywordsMuonNiobiumMonte Carlo methodThin filmRange (aeronautics)Analytical Chemistry (journal)Spectroscopy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.084
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.417
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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