MétaCan
Menu
Back to cohort
Record W4391960954 · doi:10.1063/5.0157000

Comment on “Strong Meissner screening change in superconducting radio frequency cavities due to mild baking” [Appl. Phys. Lett. <b>104</b>, 072601 (2014)]

2024· article· en· W4391960954 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueApplied Physics Letters · 2024
Typearticle
Languageen
FieldEngineering
TopicParticle accelerators and beam dynamics
Canadian institutionsUniversity of VictoriaTRIUMF
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSuperconductivityCondensed matter physicsPhysicsMeissner effectGaussianChemistryMaterials scienceQuantum mechanics

Abstract

fetched live from OpenAlex

In a recent Letter by Romanenko et al., 1 the authors used lowenergy muon spin rotation (LE-lSR) 2,3 to measure the Meissner screening profile in cutouts from Nb superconducting radio frequency (SRF) cavities, systematically comparing how different surface treatments affect the screening properties of the elemental type-II superconductor.They reported a "strong" modification to the character of the screening profile upon mild baking at 120 C for 48 h, 4 which was interpreted as a depth-dependent carrier mean-free-path resulting from a "gradient in vacancy concentration" near the surface. 1 While this observation led to speculation that this surface treatment yields an "effective" superconducting bilayer (see, e.g., Ref. 5), we suggest that its likeness to such (see Ref. 6) is accidental and that the behavior is an artifact from the analysis.Issues with the reported analysis are apparent upon scrupulous inspection of Figs. 3 and4 in the Letter, 1 where the mean field hBi below the sample surface (obtained through different analysis models) is plotted against the mean muon stopping depth hzi.In Fig. 3, where hBi was determined from fits to a Gaussian model (i.e., a Gaussian-damped cosine function), 7 Romanenko et al. 1 correctly draw attention to the strikingly different hBiðhziÞ dependence found upon mild baking; 4 however, no mention is made as to why the data deviate from the exponential decay (i.e., the well-known form of Meissner screening profiles for thick slabs 8 ) for all surface treatments.Instead, the discussion shifts to accounting for non-local electrodynamics 9,10 and strong electron-phonon coupling 11 in the formulation of B(z).While the former can cause B(z) to decay nonexponentially, its effect is known to be subtle for Nb, 12 and it is unclear how such corrections could account for the abrupt discontinuity observed at hzi % 60 nm.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.252
Threshold uncertainty score1.000

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 integrity0.0000.001
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 head0.032
GPT teacher head0.243
Teacher spread0.212 · 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