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Record W2965659854 · doi:10.15278/isms.2019.fe08

TEMPERATURE-DEPENDENCE OF SELF- AND AIR-BROADENED CO LINE SHAPES IN THE FUNDAMENTAL BAND

2019· article· en· W2965659854 on OpenAlexaff
Mary Ann H. Smith, Franck Thibault, Sergei Ivanov, V. Malathy Devi, Nazrul Islam, Adriana Predoi−Cross

Bibliographic record

VenueProceedings of the 74th International Symposium on Molecular Spectroscopy · 2019
Typearticle
Languageen
FieldEngineering
TopicMetallurgical Processes and Thermodynamics
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsLine (geometry)Materials sciencePhysicsMathematics

Abstract

fetched live from OpenAlex

We present results of an extensive analysis of the CO 1$\\leftarrow$0 band in 40 spectra of pure carbon monoxide and carbon monoxide mixed with air recorded at temperatures ranging between 79 K and room temperature. All spectra were recorded using the 1-m McMath-Pierce Fourier Transform spectrometer located at Kitt Peak, AZ, USA and two temperature-controlled gas cells. \nThe analysis was carried out using multispectrum fitting software\\footnote{D.~C.~Benner, \nC.~P.~Rinsland, V.~Malathy Devi, M.~A.~H.~Smith and \nD.~A.~Atkins, \\textit{JQSRT} \\underline{\\textbf{53}} (1995) 705-721.} and the Voigt, speed-dependent Voigt and Rautian line shape models. When using the Rautian model, we employed calculated narrowing parameters obtained from computed diffusion constants\\footnote{J.~O.~Hirschfelder, C.~F.~Curtiss and R.~B.~Bird, \\underline{Molecular theory of gases and liquids}, New York, Wiley and Sons, 1952.} for each of the absorber-perturber pairs CO-CO, CO-N$_2$ and CO-O$_2$.\nThe experimentally retrieved temperature dependences of the line shape parameters are been compared with previous published results and with the results of calculations for CO-N$_2$.\n\nWe thank D.~Chris Benner for the Labfit software. The work of V.~M.~Devi was funded by NASA grants and contracts, and the research by M.~A.~H.~Smith was performed as part of her former employment at NASA Langley Research Center. No official endorsements are intended or implied. N.~Islam and A.~Predoi-Cross have been funded by NSERC. S.~Ivanov received financial support from the Ministry of Science and Higher Education within the State assignment FSRC "Crystallography and Photonics" RAS and Russian Science Foundation (Project No.18-55-16006).

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 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 score0.029
Threshold uncertainty score0.397

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 science0.0000.000
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 head0.003
GPT teacher head0.218
Teacher spread0.215 · 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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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