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Record W4221008372 · doi:10.5194/egusphere-egu22-10187

On The Habitability Of An Impacted Young Earth 

2022· preprint· en· W4221008372 on OpenAlexaff
Kaitlin E. Cerrillo, Ben K. D. Pearce, P. Mollière, Ralph E. Pudritz

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicEarth Systems and Cosmic Evolution
Canadian institutionsMcMaster University
Fundersnot available
KeywordsAtmosphere (unit)OpacityChemistryRadiative transferHydrogenEarly EarthAstrobiologyEarth (classical element)ThermalMoleculeAtmospheric sciencesThermodynamicsPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

<p>The formation of life on Earth is generally understood to have required the presence of liquid water, as well as an atmosphere within which the feedstock molecules — such as HCN — for more complex biomolecules are able to form. From the precipitation of these simple molecules, RNA can be built. The thermal profile and surface pressure of early Earth that was necessary for a liquid water cycle may have been created by a large impact, or series of larger impacts, following the formation of our Moon. Models which feature the consequences of very large impacts (e.g. Zahnle 2020) have dense, hydrogen-rich atmospheres that can be conductive to both the formation of HCN and a temperate surface temperature under the faint young Sun. In this work, we developed detailed self-consistent thermochemical equilibrium PT structures for post-large-impact atmospheres. We use a 1D radiative-convective equilibrium modelling code to obtain these thermal profiles and equilibrium chemistry. We found that the 5 optically thick cases for a dry atmosphere have a self-consistent surface temperature that is 742K on average; however, without the collisional opacity from H<sub>2</sub> molecules contributing to the radiative transfer, this self-consistent surface temperature is an average of 394K. For a wet atmosphere, these values are 842K and 568K, respectively. Our current results suggest that, in the work of Zahnle et al. (2020), early post-impact HCN yields were computed for atmospheres that are initially too hot for the necessary liquid surface water and too hot for these molecules to be stable.</p>

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0390.000

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 head0.031
GPT teacher head0.243
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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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