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Enregistrement W4412121204 · doi:10.5194/epsc-dps2025-185

Characterization of Terrestrial Exoplanet Atmospheres through Lyman-alpha Transit Observations

2025· preprint· en· W4412121204 sur OpenAlexaff
Grace Bischof, Robin Wordsworth, John E. Moores

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineEngineering
ThématiqueAstronomical Observations and Instrumentation
Établissements canadiensYork University
Organismes subventionnairesnon disponible
Mots-clésExoplanetTransit (satellite)AstrobiologyAlpha (finance)PhysicsCharacterization (materials science)AstronomyTerrestrial planetEnvironmental scienceRemote sensingPlanetGeologyOpticsEngineering

Résumé

récupéré en direct d'OpenAlex

Introduction Lyman-alpha transmission spectroscopy has been a powerful tool for observing hydrogen escape from close-in exoplanets. For instance, Ly-α observations of GJ 436b showed a maximum transit depth of 56% – compared to a 0.69% transit depth in optical wavelengths – due to the hydrodynamic escape of hydrogen from the planet (1). Ly-α observations assist in understanding the evolution of such exoplanets, including characterization of the atmosphere. To date, the Ly-α transit of terrestrial-sized exoplanets has yielded only non-detections for exoplanets such as Trappist 1b/c (2) and 55 Cn e (3) using the Hubble Space Telescope. These non-detections possibly indicate that terrestrial exoplanets do not have enough hydrogen escape to be observed in Ly-α. Despite these non-detections, Earth’s hydrogen exosphere has been shown to extend out past 38 Earth-radii, and modelling has suggested that an exoplanet with an Earth-like hydrogen exosphere orbiting an M-dwarf star would be observable with future space telescopes (4). This work models the Ly-α transit of varying terrestrial exoplanets to diagnose atmospheric composition. For example, how does the Ly-α transit of a desiccated planet like Venus compare to a water-rich planet like Earth? Can we discern these differences from future space telescope observations? To test this, we model the thermal escape of hydrogen from terrestrial exoplanets and compute the associated Ly-α transit depth. Atmospheric parameters in the upper atmosphere, such as the mixing ratio of hydrogen, are varied to analyze the resulting Ly-α transit depth. From this, we examine trends in the transit depth to characterize the atmospheres of terrestrial exoplanets. In addition, we derive key attributes of exoplanets that would be detectable with future space telescopes.Methods In this work, the hydrogen exosphere is modelled using the Chamberlain approach (5). Key input parameters needed are the exobase height, the number density of hydrogen, and the exobase temperature. The exobase height and hydrogen number density are calculated by setting up a 2-component atmosphere at the homopause (the altitude where different species can diffusively separate, situated at 100 km from the surface with a total species number density of 1019 molecules cm-3), with a given hydrogen mixing ratio. The species diffuse upward from the homopause until they reach the exobase where the mean free path of the atmosphere is equal to the scale height. We also account for diffusion-limited escape. In a scenario where Jean’s escape is larger than the diffusion-limited escape, the number density of hydrogen is scaled to the diffusion-limited value. The exobase temperature is a free parameter in our model, though observations from the solar system indicate that a CO2 dominated exobase is cooler than an atomic oxygen-dominated exobase such as Earth’s, due to infrared cooling. Once the hydrogen exosphere is modelled, the radiative transfer code from the open-source model Sunbather (6) is used to model the transit. By default, we consider the planet to be mid-transit with an impact factor of 0. Factors affecting the transit depth, such as thermal line broadening are included. We consider a wide parameter space of planets between 0.5 to 2 Earth radii, with atmospheric temperatures between 100 to 700 K, and hydrogen mixing ratios between 10-10 and 1. For each run of the model, the hydrogen exosphere is computed at several exospheric temperatures between 100 and 1000 K to span the range of exobase temperatures observed in the solar system.Results An example of the number density of hydrogen in the exosphere and the resulting Ly-α transit in shown in Figure 1. In this case, we have modelled an Earth-sized planet with a hydrogen mixing ratio of 10-6 at the homopause that diffuses through an upper atmosphere of atomic oxygen. The exobase is 228 km from the surface with a hydrogen number density of 3.4 x 104, limited by the diffusion. The exobase is dominated by atomic oxygen, and modelled to be at 1000 K. The Ly-α transit depth around a sun-sized star is 275 ppm, much smaller than observed for close-in Neptunes, but possibly observable with future space telescope technology at a distance where geocoronal contamination is minimal. Figure 1: (a) Hydrogen number density in the exosphere as a function of distance from the planet (b) The Ly-α transit in ppm. Figure 2 shows the transit depth of exoplanets with varying masses and hydrogen mixing ratios at the homopause. Here a fixed exobase temperature of 1000 K was used though the simulations were also run with other exobase temperatures (not shown here, though the Ly-α transit typically increases with increasing exobase temperature due to the hydrogen atoms escaping the exobase more easily). The transit depth shows a strong dependence on hydrogen mixing ratio, with higher hydrogen mixing ratios resulting in a larger transit depth. The mass of the planet also affects the transit depth, with lower mass planets allowing for hydrogen escape more easily than more massive planets.Figure 2: Ly-α transit depths for exoplanets with varying masses and hydrogen mixing ratios.We will also present the effects of photoionization, making the hydrogen no longer observable in Ly-α. Lastly, we will test the ability to detect these Ly-α transits with space telescopes. (1) Ehrenreich D, Bourrier V, Wheatley PJ, des Etangs AL, Hébrard G, Udry S, et al. A giant comet-like cloud of hydrogen escaping the warm Neptune-mass exoplanet GJ 436b. Nature. 2015 Jun;522(7557):459–61.(2) Bourrier V, Ehrenreich D, Wheatley PJ, Bolmont E, Gillon M, Wit J de, et al. Reconnaissance of the TRAPPIST-1 exoplanet system in the Lyman-α line. Astron Astrophys. 2017 Mar 1;599:L3.(3) Salz M, Czesla S, Schneider PC, Schmitt JHMM. Simulating the escaping atmospheres of hot gas planets in the solar neighborhood. Astron Astrophys. 2016 Feb 1;586:A75.(4) Santos LA dos, Bourrier V, Ehrenreich D, Kameda S. Observability of hydrogen-rich exospheres in Earth-like exoplanets. Astron Astrophys. 2019 Feb 1;622:A46.(5) Chamberlain JW. Planetary coronae and atmospheric evaporation. Planet Space Sci. 1963 Aug 1;11(8):901–60.(6) Linssen D, Shih J, MacLeod M, Oklopčić A. The open-source sunbather code: Modeling escaping planetary atmospheres and their transit spectra. Astron Astrophys. 2024 Aug 1;688:A43.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,321
Score d'incertitude au seuil0,964

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,033
Tête enseignante GPT0,236
Écart entre enseignants0,203 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSimulation ou modélisation
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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