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Record W3215964243 · doi:10.1051/0004-6361/202142390

No detection of SO<sub>2</sub>, H<sub>2</sub>S, or OCS in the atmosphere of Mars from the first two Martian years of observations from TGO/ACS

2021· article· en· W3215964243 on OpenAlexfundno aff
Ashwin Braude, Franck Montmessin, Kevin Olsen, Аlexander Trokhimovskiy, Oleg Korablev, Franck Lefèvre, Anna Fedorova, Juan Alday, Lucio Baggio, Abdanour Irbah, Gaétan Lacombe, F. Forget, Ehouarn Millour, Colin Wilson, Andrey Patrakeev, Alexey Shakun

Bibliographic record

VenueAstronomy and Astrophysics · 2021
Typearticle
Languageen
FieldPhysics and Astronomy
TopicPlanetary Science and Exploration
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCentre National d’Etudes SpatialesScience and Technology Facilities CouncilAgence Nationale de la Recherche
KeywordsMars Exploration ProgramAtmosphere of MarsMartianAstrobiologyAtmosphere (unit)OrbiterTrace gasOutgassingContext (archaeology)Martian surfaceOccultationVolcanoEnvironmental scienceGeologyAtmospheric sciencesPhysicsMeteorologyAstronomyGeochemistry

Abstract

fetched live from OpenAlex

Context. The detection of sulphur species in the Martian atmosphere would be a strong indicator of volcanic outgassing from the surface of Mars. Aims. We wish to establish the presence of SO 2 , H 2 S, or OCS in the Martian atmosphere or determine upper limits on their concentration in the absence of a detection. Methods. We perform a comprehensive analysis of solar occultation data from the mid-infrared channel of the Atmospheric Chemistry Suite instrument, on board the ExoMars Trace Gas Orbiter, obtained during Martian years 34 and 35. Results. For the most optimal sensitivity conditions, we determine 1 σ upper limits of SO 2 at 20 ppbv, H 2 S at 15 ppbv, and OCS at 0.4 ppbv; the last value is lower than any previous upper limits imposed on OCS in the literature. We find no evidence of any of these species above a 3 σ confidence threshold. We therefore infer that passive volcanic outgassing of SO 2 must be below 2 ktons day −1 .

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.542

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 head0.012
GPT teacher head0.189
Teacher spread0.178 · 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

Citations12
Published2021
Admission routes1
Has abstractyes

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