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Record W4393652453 · doi:10.5281/zenodo.7645466

RT Dataset -- Updated radiative transfer model for Titan in the near-infrared wavelength range: Validation against Huygens atmospheric and surface measurements and application to the Cassini/VIMS observations of the Dragonfly landing area

2023· dataset· en· W4393652453 on OpenAlexaff
Es-Sayeh Maël, Rodriguez Sébastien, Coutelier Maélie, Rannou Pascal, Bézard Bruno, Maltagliati Luca, Thomas Cornet, Grieger Björn, Karkoschka Erich, Le Mouélic Stéphane, Le Gall Alice, Neish Catherine, MacKenzie Shannon, Anezina Solomonidou, Sotin Christophe, Coustenis Athena

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typedataset
Languageen
FieldPhysics and Astronomy
TopicAstro and Planetary Science
Canadian institutionsWestern University
FundersAgence Nationale de la Recherche
KeywordsTitan (rocket family)Radiative transferInfraredRemote sensingAtmospheric radiative transfer codesWavelengthRange (aeronautics)Near-infrared spectroscopyPhysicsAstrobiologyEnvironmental scienceOpticsGeologyAerospace engineeringEngineering

Abstract

fetched live from OpenAlex

This dataset contains all Radiative Transfer (RT) results made for the paper. The data are stored in 5 zipped-folders names with the Cassini/VIMS cube flyby and id, or explicitly for Huygens/ULIS calibrated observations: TB_C1481624349_1 T40_C1578266417_1 T38_C1575509158_1 T40_C1578263500_1 T40_C1578263152_1 ULIS_observations The TB_C1481624349_1 folder contains the Cassini/VIMS cube over HLS, the HLS end-member (End_member.txt), the surface albedo retrieved by Karkoschka et al. (2016) corrected for the photometry (HLS_Karkoschka_2016_spectrum.txt), and the inverted surface albedo (Surface_albedo.txt). In these folders, each VIMS pixel is stored in a .txt file with the following pattern: _ _ .txt It starts with a header describing the observation: CUBE_ID: the VIMS cube id (`C1234567890_1` format) SAMPLE: the pixel sample number. LINE: the pixel line number. LONG: the pixel longitude (in degree). LAT: the pixel latitude (in degree). INC: the surface incident angle (in degree). EMI: the surface emergent angle (in degree). PHASE: the surface phase angle (in degree). For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), the header also contains the spatial sampling and the radiative transfer model outputs: Spatial sampling (km/pix). Fh: the haze scaling factor. Fm: the mist scaling factor. 1-sigma (Fh): the 1-sigma uncertainty on Fh. 1-sigma (Fm): the 1-sigma uncertainty on Fm. Reduced chi2: the reduced chi2. Then contains the observed spectra: Column 1: the VIMS channel central wavelength (in micrometers). Column 2: the VIMS pixel I/F. Column 3: the VIMS pixel I/F 1-sigma uncertainty. For the Selk crater cubes (T40_C1578266417_1, T38_C1575509158_1, T40_C1578263500_1, T40_C1578263152_1), 3 columns are added for: Column 4: the surface albedo. Column 5: the upper 1-sigma uncertainty on the surface albedo. Column 6 : the lower 1-sigma uncertainty on the surface albedo. The ULIS folder contains the Huygens/ULIS calibrated observations (in I/F) and the simulations with 1-sigma uncertainties as a function of the altitude (in km): Column 1: the VIMS channel central wavelength (in micrometers), stopped at the end of the Huygens/ULIS wavelength range. Column 2: the ULIS I/F. Column 3 : the simulated I/F. Column 4: the lower 1-sigma uncertainty on the simulation. Column 5 : the upper 1-sigma uncertainty on the simulation.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0180.023

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 head0.257
Teacher spread0.190 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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