A Homogeneous Study of Exoplanetary Atmospheres Using High-Resolution Transit Spectroscopy
Notice bibliographique
Résumé
Thousands of exoplanets have been confirmed in the last two decades, and yet observational constraints on their compositions have only been obtained for a few hundred of them so far. Current detection methods only give access to the radius and mass of a planet and therefore to its bulk density, which generally induces large degeneracies in terms of composition and structure. Characterization of exoplanet atmospheres has therefore emerged as a challenge for the exoplanet scientific community. Constraining the composition, dynamics, and overall structure of an exoplanet atmosphere allows us to infer its formation and evolution history and to put our Solar system in a broader context through comparative planetary science. Transmission spectroscopy has emerged as a powerful method to characterize exoplanetary atmospheres: when an exoplanet transits its host star, part of the stellar flux passes through the exoplanet’s atmosphere, imprinting the signature of its molecular components on the observed flux. Observing these transmission spectra with ground-based high-resolution spectrometers allows us to detect the species present in the atmosphere and probe the dynamics of the atmosphere by resolving the individual lines, all while being less sensitive to clouds and hazes' opacities than space-based observations at medium resolution. However, the analysis of ground-based observations requires state-of-the-art data reduction and processing methods to correct for the Earth's atmosphere and the background host star contributions and to extract the faint planetary signal whose individual line amplitudes are orders of magnitude weaker than the noise. I will present the work, codes, and methodology developed during my PhD to characterize the atmosphere of fifteen exoplanets observed with the SPIRou instrument, a near-infrared spectropolarimeter at the Canada-France-Hawaii Telescope. This presentation will focus on our search for the metastable He triplet signature at 1083.3 nm (in vacuum), a near-infrared probe for atmospheric escape, and for molecular signatures to constrain the atmospheric composition and structure of 15 targets ranging from super-Earth and sub-Neptunes to hot Jupiters (Fig. 1.). I will present our results in terms of mass loss rate and escape temperature constraints obtained with Parker-wind modelisation of atmospheric escape (Fig. 2.). I will then discuss our results regarding the presence and abundances of molecules such as H2O, CO, and CH4, obtained with Cross Correlation Function and Nested Sampling methods coupled with a 1D radiative-convective equilibrium code and a high-resolution radiative transfer model (Fig. 3.). Applying the same reduction pipeline on a set of targets observed with the same instrument further allowed us to provide homogeneously retrieved constraints on these targets, paving the way toward a statistical understanding of exoplanets in terms of atmospheric composition and structure. Fig. 1. List of the fifteen targets studied in this work Fig. 2. Detection of the metastable He triplet lines (black) in HAT-P-11 b and fitting with a Parker wind escape model (red) Fig. 3. Cross Correlation Function map in velocity space showing the detection of H2O in WASP-127 b
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».