MétaCan
Menu
Back to cohort
Record W2090000136 · doi:10.1002/cmr.a.21259

NMR quadrupole liouvillians for arbitrary spin: Exact symbolic expressions and perturbation solutions

2013· article· en· W2090000136 on OpenAlexaff
Alex D. Bain

Bibliographic record

VenueConcepts in Magnetic Resonance Part A · 2013
Typearticle
Languageen
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsMcMaster University
Fundersnot available
KeywordsQuadrupoleSpinsWave functionPerturbation (astronomy)Homogeneous spacePerturbation theory (quantum mechanics)PhysicsQuantum mechanicsMathematicsStatistical physicsCondensed matter physicsGeometry

Abstract

fetched live from OpenAlex

Abstract The NMR of quadrupolar nuclei with half‐integer spins is almost always described by treating the quadrupole interaction with second‐order perturbation theory. The standard practice is to perturb the wave functions, then calculate the transitions. In this article, we elaborate on the so‐called direct method in which the transitions are calculated directly without the requirement of knowing the operators and the wavefunctions. The method is set up using a set of formulae giving fully symbolic expressions. First of all, this provides a convenient way for a full and exact numerical solution that goes beyond perturbation theory. The other possibility is that it allows us to see the effect of the quadrupole perturbation on the unperturbed transitions. The results are the same, as they must be, but this approach reveals a number of important symmetries. Perturbations will mix the unperturbed transitions, but despite the use of high‐order perturbation theory, the mixing is very simple, specific, and controlled by selection rules. This gives a clear physical picture of the physical basis of the effects of perturbation theory. The approach is systematic and general and is easily extended to an arbitrary half‐integral spin. © 2013 Wiley Periodicals, Inc. Concepts Magn Reson Part 42A: 45–358, 2013.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score0.798

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)0.0010.000

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 head0.020
GPT teacher head0.297
Teacher spread0.277 · 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
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

Citations7
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueConcepts in Magnetic Resonance Part ASame topicAdvanced NMR Techniques and ApplicationsFrench-language works237,207