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Record W2590008384 · doi:10.1117/12.2252424

Surface phonon polaritons as a source of laser cooling perturbation

2017· article· en· W2590008384 on OpenAlexaff
Galina Nemova, Raman Kashyap

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOptical properties and cooling technologies in crystalline materials
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsLaserMaterials scienceLaser coolingYttriumSilicon carbideOpticsSurface phononPolaritonWavelengthYtterbiumPhononDopingOptoelectronicsCondensed matter physicsPhysics

Abstract

fetched live from OpenAlex

The influence of a solid-state sample placed in the vicinity of a laser cooled sample is theoretically investigated. The laser cooling process is based on anti-Stokes fluorescence. The laser cooled sample is a rare-earth doped low-phonon energy solid. In this system, all samples can support surface phonon polaritons (SPhPs) in the same or different wavelength regions. Two different cases are considered. In the first case a laser cooled ytterbium-doped yttrium aluminum garnet ( Yb<sup>3+</sup>:YAG ) sample is placed in a vacuum chamber near a YAG sample, which is at room temperature. In the second case a laser cooled Yb<sup>3+</sup>:YAG sample is placed near a silicon carbide (SiC) sample, which is at room temperature. It is shown that for short distances between samples, when there is coupling between SPhPs propagating in the sample undergoing laser cooling and SPhPs propagating in the next sample, the laser cooling process can deteriorate substantially. In the opposite case the SPhPs do not influence the laser cooling process significantly even if the distance between the samples is less than the dominant wavelength of thermal radiation.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.399
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
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 head0.013
GPT teacher head0.239
Teacher spread0.225 · 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 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOptical properties and cooling technologies in crystalline materialsFrench-language works237,207