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Record W6931509564 · doi:10.5286/isis.e.rb2310331

CANADIAN: Momentum dependence of crystal field levels in CeRhIn5

2024· dataset· en· W6931509564 on OpenAlexaboutno aff

Bibliographic record

VenueScience and Technology Facilities Council · 2024
Typedataset
Languageen
FieldPhysics and Astronomy
Topicstochastic dynamics and bifurcation
Canadian institutionsnot available
Fundersnot available
KeywordsInelastic neutron scatteringKondo insulatorKondo effectExcited stateAngle-resolved photoemission spectroscopyParamagnetismNeutron scatteringSpin (aerodynamics)Crystal (programming language)

Abstract

fetched live from OpenAlex

In Kondo systems, localized f-electron states hybridize with itinerant electrons, leading to an emergent many-body state. Modern electronic structure calculations indicate that excited crystal electric field (CEF) and spin-orbit levels of the f-electron manifold need to be considered in strongly correlated metals such as the Kondo materials. Recent RIXS and ARPES experiments both indicate that these excited states acquire momentum dependence due to Kondo hybridization. Through the dynamical magnetic susceptibility, neutron scattering should access another aspect of this interesting momentum dependence. Yet, we are not aware of any single crystal neutron scattering studies of heavy fermion materials that could shed light Q-dependences of CEF levels. To investigate this subject, we propose to measure the single crystal inelastic spectrum of the heavy fermion material CeRhIn5 with the MAPS spectrometer with an incident energy of 50 meV. We request a total of 8 days to measure Q-dependences of the CEF levels in the antiferromagnetic, coherent paramagnetic and incoherent paramagnetic phases. The experiment will be performed on a well-characterized sample that has already been used to study the low-energy spin wave excitations.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
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 head0.017
GPT teacher head0.229
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2024
Admission routes1
Has abstractyes

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