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Record W4294243316 · doi:10.1038/s41586-022-05269-w

Identification of carbon dioxide in an exoplanet atmosphere

2022· article· en· W4294243316 on OpenAlexaff
Eva-Maria Ahrer, Lili Alderson, Natalie M. Batalha, Natasha Batalha, Jacob L. Bean, Thomas G. Beatty, Taylor J. Bell, Björn Benneke, Zachory K. Berta-Thompson, Aarynn L. Carter, Ian J. M. Crossfield, Néstor Espinoza, Adina D. Feinstein, Jonathan J. Fortney, Neale P. Gibson, Jayesh Goyal, Eliza M.-R. Kempton, James Kirk, Laura Kreidberg, Mercedes López‐Morales, Michael Line, Joshua D. Lothringer, Sarah E. Moran, Sagnick Mukherjee, Kazumasa Ohno, Vivien Parmentier, Caroline Piaulet, Zafar Rustamkulov, Everett Schlawin, David K. Sing, Kevin B. Stevenson, Hannah R. Wakeford, Natalie H. Allen, Stephan M. Birkmann, Jonathan Brande, Nicolas Crouzet, Patricio E. Cubillos, Mario Damiano, Jean-Michel Désert, Peter Gao, Joseph Harrington, Renyu Hu, Sarah Kendrew, Heather A. Knutson, Pierre-Olivier Lagage, Jérémy Leconte, M. Lendl, Ryan J. MacDonald, Erin May, Yamila Miguel, Karan Molaverdikhani, Julianne I. Moses, Catriona Anne Murray, Molly Nehring, Nikolay Nikolov, D. J. M. Petit dit de la Roche, Michael Radica, Pierre-Alexis Roy, Keivan G. Stassun, Jake Taylor, William C. Waalkes, Patcharapol Wachiraphan, Luis Welbanks, P. J. Wheatley, Keshav Aggarwal, Munazza K. Alam, Agnibha Banerjee, J. K. Barstow, Jasmina Blecic, S. L. Casewell, Quentin Changeat, K. L. Chubb, Knicole D. Colón, Louis-Philippe Coulombe, Tansu Daylan, M. de Val-Borro, L. Decin, Leonardo A. Dos Santos, Laura Flagg, Kevin France, Guangwei Fu, A. García Muñoz, John E. Gizis, Ana Glidden, David M. Grant, Kevin Heng, Thomas Henning, Yu-Cian Hong, Julie Inglis, Nicolas Iro, Tiffany Kataria, Thaddeus D. Komacek, Jessica Krick, Elspeth K. H. Lee, Nikole K. Lewis, J. Lillo-Box, Jacob Lustig‐Yaeger, L. Mancini, Avi M. Mandell, Megan Mansfield, Mark S. Marley, T. M. Evans, Giuseppe Morello, Matthew C. Nixon, Kevin Ortiz Ceballos, Anjali A. A. Piette, Diana Powell, Benjamin V. Rackham, Lakeisha Ramos-Rosado, Emily Rauscher, Seth Redfield, Laura K. Rogers, Michael T. Roman, Gaël Roudier, Nicholas Scarsdale, Evgenya L. Shkolnik, J. Southworth, Jessica Spake, Maria E. Steinrueck, Xianyu Tan, Johanna Teske, Pascal Tremblin, Shang‐Min Tsai, G. S. Tucker, Jake D. Turner, Jeff A. Valenti, Olivia Vénot, I. Waldmann, Nicole L. Wallack, Xi Zhang, Sebastian Zieba

Bibliographic record

VenueNature · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicStellar, planetary, and galactic studies
Canadian institutionsUniversité de Montréal
FundersScience Mission DirectorateScience and Technology Facilities CouncilIndian Council of Agricultural ResearchSpace Telescope Science InstituteNational Aeronautics and Space Administration
KeywordsExoplanetCarbon dioxideAtmosphere (unit)AstrobiologyEnvironmental scienceNegative carbon dioxide emissionIdentification (biology)Carbon dioxide in Earth's atmosphereChemistryAstronomyPhysicsCarbon sequestrationPlanetMeteorologyBiologyBotany

Abstract

fetched live from OpenAlex

Abstract Carbon dioxide (CO 2 ) is a key chemical species that is found in a wide range of planetary atmospheres. In the context of exoplanets, CO 2 is an indicator of the metal enrichment (that is, elements heavier than helium, also called ‘metallicity’) 1–3 , and thus the formation processes of the primary atmospheres of hot gas giants 4–6 . It is also one of the most promising species to detect in the secondary atmospheres of terrestrial exoplanets 7–9 . Previous photometric measurements of transiting planets with the Spitzer Space Telescope have given hints of the presence of CO 2 , but have not yielded definitive detections owing to the lack of unambiguous spectroscopic identification 10–12 . Here we present the detection of CO 2 in the atmosphere of the gas giant exoplanet WASP-39b from transmission spectroscopy observations obtained with JWST as part of the Early Release Science programme 13,14 . The data used in this study span 3.0–5.5 micrometres in wavelength and show a prominent CO 2 absorption feature at 4.3 micrometres (26-sigma significance). The overall spectrum is well matched by one-dimensional, ten-times solar metallicity models that assume radiative–convective–thermochemical equilibrium and have moderate cloud opacity. These models predict that the atmosphere should have water, carbon monoxide and hydrogen sulfide in addition to CO 2 , but little methane. Furthermore, we also tentatively detect a small absorption feature near 4.0 micrometres that is not reproduced by these models.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.271

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 integrity0.0000.001
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 head0.006
GPT teacher head0.226
Teacher spread0.220 · 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 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

Citations188
Published2022
Admission routes1
Has abstractyes

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