Notice bibliographique
Résumé
Over the last decade, the use of ground-based high-resolution spectrographs has tremendously increased. Such instruments can resolve individual atomic and molecular lines. Therefore, molecular bands observed at low resolution are seen as a forest of millions of lines at high resolution. The advantages of high spectral resolution for atmospheric characterization are multiple. Firstly, it is possible to easily distinguish between different species thanks to their unique spectral fingerprint. Secondly, it is possible to determine the rest frame (e.g., planetary, stellar, Earth) where the lines are formed. The differences in Doppler shifts between planetary, stellar, and telluric lines allow high-resolution observations to achieve robust atmospheric detections. Moreover, as the planetary motion is often known from radial velocity campaigns, it is possible to stack the observed signature in the planet rest frame with high precision. For hot Jupiters, an offset between the expected line positions and the measured line positions can be detected and attributed to wind patterns in the exoplanet atmosphere (e.g., Snellen et al. 2010; Wyttenbach et al. 2015; Brogi et al. 2016; Allart et al. 2018; Ehrenreich et al. 2020). Therefore, high-resolution datasets provide key information on atmospheric dynamics. Finally, as the lines are resolved and well sampled, the line cores probe higher in the atmosphere and they can be used to measure the change of temperature with altitude in the atmosphere (e.g., Wyttenbach et al. 2015; Seidel et al. 2020).The first keystone in the detection of exoplanet atmospheres at high spectral resolution was done at infrared wavelength using the CRIRES instrument (Snellen et al. 2010). The second keystone was the use of the HARPS spectrograph to detect and resolve the sodium doublet of HD189733b (Wyttenbach et al. 2015). HARPS is a stable fiber-fed visible high-resolution spectrograph installed on the 3.6m ESO telescope at LaSilla. Since 2015, tens of studies using stable high-resolution spectrographs, both at visible and near-infrared wavelengths, installed on medium class telescope revolutionized the exoplanet atmospheric field. Among them, the first detection of metastable helium linking the thermosphere to the exosphere (Allart et al. 2018, Nortmann et al. 2018), of metals exhibiting the peculiar chemistry of ultra-hot Jupiters (Hoejmakers et al. 2018), of condensation at the terminator providing an access to the 3D structure of exoplanets (Ehrenreich 2020) or even the multiple detections of molecules providing a robust understanding of the atmospheric chemistry (Pelletier et al. 2021).At the end of 2021, the Near-InfraRed Planet Searcher (NIRPS) will join HARPS on the 3.6m ESO telescope at LaSilla. NIRPS is an ultra-stable fiber-fed near-infrared (0.98-1.8 microns) high-resolution spectrograph that can work simultaneously or not to HARPS. The NIRPS consortium was granted by ESO of 720 nights in exchange for the instrument. A third of this time is foreseen to study the exoplanet atmosphere. In this talk, I will describe how we aim at splitting this unparalleled allocation including a transit survey of 100 exoplanets, an emission survey of 40 exoplanets, and in-depth studies of few key systems in transmission.NIRPS will excel by detecting and retrieving multiple molecules (H2O, CH4, O2, CO) providing crucial information on the presence of clouds, C/O ratio, and thus on the formation of exoplanets. Moreover, NIRPS has access to the helium triplet providing crucial constraints of the dynamic and physical processes at play in the upper atmosphere and even in the exosphere. Finally, NIRPS has the unique opportunity to do all of this simultaneously and is the sole instrument in the southern hemisphere to do it.The simultaneous observations of HARPS will complement the NIRPS observations by studying the presence of metals in the hottest Jupiter-like exoplanet but also by studying multiple atmospheric tracers such as the Na doublet, the Li, or H-alpha line. Finally, both HARPS and NIRPS will deliver precise radial velocity that can be used to constrain the orbital architecture through the Rossiter McLaughlin effect.By the end of its guarantee time observations, the NIRPS consortium will be able to draw statistical conclusions that could help explain how exoplanets formed and evolved, why the evaporation desert exists, what are the interactions between stars and planets, what is the composition of exoplanet atmospheres, what are the properties of clouds and hazes and what is the dynamics of exoplanet atmospheres. References:Allart, R., Bourrier, V., Lovis, C., et al. 2018, Science, 362, 1384Brogi, M., de Kok, R. J., Albrecht, S., et al. 2016, The Astrophysical Journal, 817, 106Ehrenreich, D., Lovis, C., Allart, R., et al. 2020, Nature, 580, 597Hoeijmakers, H. J., Ehrenreich, D., Heng, K., et al. 2018, Nature, 560, 453Nortmann, L., Pallé, E., Salz, M., et al. 2018, Science, 362, 1388Pelletier, S., Benneke, B., Darveau-Bernier, A., et al. 2021 accepted in AJ, arXiv:2105.10513Seidel, J. V., Ehrenreich, D., Pino, L., et al. 2020b, Astronomy and Astrophysics, 633, A86Snellen, I. A. G., de Kok, R. J., de Mooij, E. J. W., & Albrecht, S. 2010, Nature, 465, 1049Wyttenbach, A., Ehrenreich, D., Lovis, C., Udry, S., & Pepe, F. 2015, Astronomy and Astrophysics, 577, A62
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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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 ».