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Record W2010764950 · doi:10.1086/587983

Spectra of Carbon Nanoparticles: Laboratory Simulation of the Aromatic CH Emission Feature at 3.29 μm

2008· article· en· W2010764950 on OpenAlexaff
Anming Hu, W. W. Duley

Bibliographic record

VenueThe Astrophysical Journal · 2008
Typearticle
Languageen
FieldMaterials Science
TopicCarbon Nanotubes in Composites
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsPolycyclic aromatic hydrocarbonCarbon fibersHydrocarbonAmorphous carbonSpectral linePhysicsAbsorption (acoustics)Interstellar mediumSide chainMoleculeCarbon NanoparticlesNanoparticleAmorphous solidAnalytical Chemistry (journal)AstrophysicsChemistryMaterials scienceOrganic chemistryAstrobiologyNuclear magnetic resonanceComposite numberAstronomyOpticsPolymerComposite material

Abstract

fetched live from OpenAlex

Laboratory spectra of carbon nanoparticles (CNPs) near 3.29 μm show a band whose profile is an excellent match to that of the aromatic CH feature observed in type A emission sources. This band is associated with the CH stretching vibration in polycyclic aromatic hydrocarbon (PAH) molecules having peripheral aliphatic hydrocarbon substituents. Comparison between experimental and observational spectra suggests that the PAH species responsible for the appearance of a CH absorption feature at 3.275 μm is likely the same as that producing emission at 3.29 μm. We also detect a feature at 3.255 μm, attributed to small PAHs with aliphatic side chains, that corresponds to the aromatic CH band detected in molecular clouds. Our results indicate that the common form for PAHs in the interstellar medium is as rings having one or more aliphatic side chains. The proportion of side chains increases as excitation decreases, so that the overall composition of substituted PAHs in the DISM approaches that of hydrogenated amorphous carbon.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

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 science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.232
Teacher spread0.223 · 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 designSimulation or modeling
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

Citations33
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Astrophysical JournalSame topicCarbon Nanotubes in CompositesFrench-language works237,207