دورية أكاديمية

Toward 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods

التفاصيل البيبلوغرافية
العنوان: Toward 3D Retrieval of Exoplanet Atmospheres: Assessing Thermochemical Equilibrium Estimation Methods
المؤلفون: Michael D. Himes, Joseph Harrington, Atılım Güneş Baydin
المصدر: The Planetary Science Journal, Vol 4, Iss 4, p 74 (2023)
بيانات النشر: IOP Publishing
سنة النشر: 2023
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Exoplanet atmospheric composition, Exoplanet atmospheres, Neural networks, Regression, Chemical abundances, Astronomy, QB1-991
الوصف: Characterizing exoplanetary atmospheres via Bayesian retrievals requires assuming some chemistry model, such as thermochemical equilibrium or parameterized abundances. The higher-resolution data offered by upcoming telescopes enable more complex chemistry models within retrieval frameworks. Yet many chemistry codes that model more complex processes like photochemistry and vertical transport are computationally expensive, and directly incorporating them into a 1D retrieval model can result in prohibitively long execution times. Additionally, phase-curve observations with upcoming telescopes motivate 2D and 3D retrieval models, further exacerbating the lengthy runtime for retrieval frameworks with complex chemistry models. Here we compare thermochemical equilibrium approximation methods based on their speed and accuracy with respect to a Gibbs energy-minimization code. We find that, while all methods offer orders-of-magnitude reductions in computational cost, neural network surrogate models perform more accurately than the other approaches considered, achieving a median absolute dex error of <0.03 for the phase space considered. While our results are based on a 1D chemistry model, our study suggests that higher-dimensional chemistry models could be incorporated into retrieval models via this surrogate modeling approach.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2632-3338
العلاقة: https://doi.org/10.3847/PSJ/acc939Test; https://doaj.org/toc/2632-3338Test; https://doaj.org/article/6f71bdc1a7f44aefa931e76cf3e357fcTest
DOI: 10.3847/PSJ/acc939
الإتاحة: https://doi.org/10.3847/PSJ/acc939Test
https://doaj.org/article/6f71bdc1a7f44aefa931e76cf3e357fcTest
رقم الانضمام: edsbas.B70A3926
قاعدة البيانات: BASE
الوصف
تدمد:26323338
DOI:10.3847/PSJ/acc939