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Record W4287901633 · doi:10.48550/arxiv.2001.08494

Demonstration of variable angle Super-Heterodyne Dynamic Light\n Scattering for measuring colloidal dynamics

2020· preprint· W4287901633 on OpenAlexaff
Daniel J. Crowley, Riande I. Dekker, Denis Botin, Nicole Schärtl, Annalena Groß, Aakanksha Agarwal, Sabrina Heidt, Jennifer Wenzl, Negar Zaghi, Evgenii Vorobev, Thomas Palberg

Bibliographic record

VenuearXiv (Cornell University) · 2020
Typepreprint
Language
FieldMaterials Science
TopicMaterial Dynamics and Properties
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHeterodyne (poetry)OpticsScatteringFrequency domainLight scatteringVelocimetryPhysicsDynamic light scatteringGoniometerHeterodyne detectionRange (aeronautics)Materials scienceAcousticsMathematicsMathematical analysisLaser

Abstract

fetched live from OpenAlex

We demonstrate a prototype light scattering instrument combining a frequency\ndomain approach to the intermediate scattering function from Super-Heterodyning\nDoppler Velocimetry with the versatility of a standard homodyne Dynamic Light\nScattering goniometer setup for investigations over a large range of scattering\nvectors. Comparing to reference experiments in correlation-time domain, we show\nthat the novel approach can determine diffusion constants and hence\nhydrodynamic radii with high precision and accuracy. Possible future\napplications are discussed shortly.\n

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.067
GPT teacher head0.179
Teacher spread0.112 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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