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Record W4283221371 · doi:10.1093/mnras/stac1524

Visible, near-infrared and mid-infrared spectra of solid O2 at 6–33 K

2022· article· en· W4283221371 on OpenAlexaff
Jen‐Iu Lo, Hsiao‐Chi Lu, Wei‐Hsiu Hung, J. F. Ogilvie, Bing‐Ming Cheng

Bibliographic record

VenueMonthly Notices of the Royal Astronomical Society · 2022
Typearticle
Languageen
FieldChemistry
TopicSpectroscopy and Laser Applications
Canadian institutionsSimon Fraser University
FundersMinistry of Science and Technology, Taiwan
KeywordsInfraredInfrared spectroscopySpectral lineAnalytical Chemistry (journal)PhysicsSolid oxygenWavelengthFar infraredOxygenOpticsChemistry

Abstract

fetched live from OpenAlex

ABSTRACT We report spectra in the visible and near-infrared wavelength range 350–1155 nm and in the mid-infrared range 500–5000 cm–1 (2–20 $\mu$m) of molecular oxygen at temperatures 6–33 K. In mid-infrared spectra, a sharp line at 1552.4 cm–1 was observed at a deposition temperature of 6 K. The intensity, profile and position of this feature depended sensitively upon the deposition temperature as a result of a connection with lattice imperfections; instead, a triplet feature at 1545.7, 1548.1 and 1549.6 cm–1 appeared at temperatures 9 and 12 K, but disappeared at 18, 24 and 30 K. Additional infrared lines of solid α-O2 were observed at 1591 and 1617 cm–1, which exhibited a reversible behaviour through the α–β phase transition temperature at 24 K. The transmissions of solid O2 showed nearly no change in wavenumber range 500–2000 cm–1 (5–20 $\mu$m) at temperatures 6–33 K; above 2000 cm–1 (<5 $\mu$m), the transmission of solid O2 depended strongly on temperature. Roughly, the transmission of solid O2 at temperatures 6–21 K fluctuated slightly in the visible and near-infrared region, whereas it decreased greatly at 24 K and continuously diminished further at higher temperatures. Notably, a broad absorption of solid β-O2 was observed in the wavelength region 350–700 nm at temperatures 27, 30 and 33 K.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.306
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.006
GPT teacher head0.219
Teacher spread0.212 · 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.

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

Citations3
Published2022
Admission routes1
Has abstractyes

Explore more

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