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Record W2055265064 · doi:10.1209/0295-5075/82/27002

Fermi surface arcs and the infrared conductivity of underdoped YBa <sub>2</sub> Cu <sub>3</sub> O <sub>6.50</sub>

2008· article· en· W2055265064 on OpenAlexaff
Jungseek Hwang, J. P. Ćarbotte, T. Timusk

Bibliographic record

VenueEurophysics Letters (EPL) · 2008
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPhysics of Superconductivity and Magnetism
Canadian institutionsCanadian Institute for Advanced ResearchMcMaster University
Fundersnot available
KeywordsPseudogapCondensed matter physicsFermi surfaceInfraredFermi Gamma-ray Space TelescopeOptical conductivityPhotoemission spectroscopyPhysicsFermi levelCuprateSpectroscopyConductivityAngle-resolved photoemission spectroscopyFermi energySuperconductivityMaterials scienceElectronic structureSpectral lineOpticsElectronQuantum mechanics

Abstract

fetched live from OpenAlex

We reanalyze the data on the in-plane far infrared conductivity of underdoped orthoII YBa 2 Cu 3 O 6.50 (YBCO 6.50 ) in terms of a model in which a pseudogap opens on part of the Fermi surface with the remaining ungapped piece proportional to the temperature. The motivation for our model comes from recent angle-resolved photoemission spectroscopy data in underdoped Bi 2 Sr 2 CaCu 2 O 8+δ (Bi-2212), which have revealed the existence of arcs on the Fermi surface. We find the optical data to be consistent with arc formation. In addition we find some evidence that the electronic states lost below the pseudogap energy Δ pg are recovered in the energy region immediately above it at least for temperatures near T c .

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.015
GPT teacher head0.197
Teacher spread0.182 · 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 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

Citations18
Published2008
Admission routes1
Has abstractyes

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