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Theory of spin response in underdoped cuprates as strongly fluctuating d-wave superconductors

2003· preprint· en· W6892064617 on OpenAlexaff

Bibliographic record

VenuearXiv (Cornell University) · 2003
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPseudogapSuperconductivityQuasiparticleCuprateSpin (aerodynamics)Phase (matter)Resonance (particle physics)Neutron scatteringDegrees of freedom (physics and chemistry)

Abstract

fetched live from OpenAlex

We study the spin dynamics in underdoped cuprates at low temperatures by considering them as quasi two dimensional d-wave superconductors (dSC) with strong phase fluctuations. An effective theory of spin degrees of freedom of nodal quasiparticles coupled to vortex defects in the phase of the superconducting order parameter is formulated. It represents the minimal extension of the QED3 theory of the pseudogap phase into the superconducting region. The theory predicts a single dSC-SDW transition, which may be fluctuation induced first order, without the region of coexistence between the two ordered phases. We compute the spin-spin correlator in the dSC, and explain the evolution of the spin response with frequency as observed in neutron scattering experiments on YBCO. We predict that at the frequencies much below the resonance the (weak) spin response should become narrowly peaked at four `diagonally' incommensurate wave vectors that span between the nodes of the supercopnducting order parameter. These peaks represent an inherent collective mode of the phase fluctuating dSC, the condensation of which would bring about the SDW order in the pseudogap phase. Our interpretation of the resonance suggests it should become more elusive in the superconductors with lower Tc, in accord with its' conspicuous absence in LSCO.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.082
GPT teacher head0.212
Teacher spread0.130 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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
Published2003
Admission routes1
Has abstractyes

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