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Study of the Ground State Properties of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:msub><mml:mi>LiHo</mml:mi><mml:mi>x</mml:mi></mml:msub><mml:msub><mml:mi mathvariant="bold">Y</mml:mi><mml:mrow><mml:mn>1</mml:mn><mml:mo>−</mml:mo><mml:mi>x</mml:mi></mml:mrow></mml:msub><mml:msub><mml:mi mathvariant="bold">F</mml:mi><mml:mn>4</mml:mn></mml:msub></mml:math>Using Muon Spin Relaxation

2010· article· lv· W1934913761 on OpenAlexafffund
J. Rodríguez, A. A. Aczel, J. P. Carlo, S. R. Dunsiger, G. J. MacDougall, Peter L. Russo, A. T. Savici, Y. J. Uemura, C. R. Wiebe, G. M. Luke

Bibliographic record

VenuePhysical Review Letters · 2010
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicAdvanced Condensed Matter Physics
Canadian institutionsCanadian Institute for Advanced ResearchUniversity of WinnipegMcMaster University
FundersDivision of Materials ResearchMcMaster UniversityNatural Sciences and Engineering Research Council of CanadaCanadian Institute for Advanced ResearchNational Science Foundation
KeywordsPhysicsMagnetismGround stateRelaxation (psychology)Energy (signal processing)Muon spin spectroscopyParamagnetismMuonCondensed matter physicsCrystallographyAtomic physicsParticle physicsQuantum mechanicsChemistry

Abstract

fetched live from OpenAlex

${\mathrm{LiHo}}_{x}{\mathrm{Y}}_{1\ensuremath{-}x}{\mathrm{F}}_{4}$ is an insulator where the magnetic ${\mathrm{Ho}}^{3+}$ ions have an Ising character and interact mainly through magnetic dipolar fields. We used the muon spin relaxation technique to study the nature of its ground state for samples with $x\ensuremath{\le}0.25$. In contrast with some previous works, we did not find canonical spin glass behavior down to $\ensuremath{\approx}15\text{ }\text{ }\mathrm{mK}$. Instead, below $\ensuremath{\approx}300\text{ }\text{ }\mathrm{mK}$ we observed temperature-independent dynamic magnetism characterized by a single correlation time. The 300 mK energy scale corresponds to the ${\mathrm{Ho}}^{3+}$ hyperfine interaction strength, suggesting that this interaction may be involved in the dynamic behavior of the system.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0030.005
Meta-epidemiology (broad)0.0010.005
Bibliometrics0.0010.004
Science and technology studies0.0040.005
Scholarly communication0.0030.004
Open science0.0060.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.2770.003

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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2010
Admission routes2
Has abstractyes

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