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相关论文: Outstanding Challenges of Exoplanet Atmospheric Re…

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Exoplanetary atmospheric retrieval refers to the inference of atmospheric properties of an exoplanet given an observed spectrum. The atmospheric properties include the chemical compositions, temperature profiles, clouds/hazes, and energy…

地球与行星天体物理 · 物理学 2018-12-05 Nikku Madhusudhan

Exploring exoplanets has transformed our understanding of the universe by revealing many planetary systems that defy our current understanding. To study their atmospheres, spectroscopic observations are used to infer essential atmospheric…

地球与行星天体物理 · 物理学 2025-12-19 Flavio Giobergia , Alkis Koudounas , Elena Baralis

Exoplanets are now being discovered in profusion. However, to understand their character requires spectral models and data. These elements of remote sensing can yield temperatures, compositions, and even weather patterns, but only if…

地球与行星天体物理 · 物理学 2015-06-23 Adam Burrows

Spectral retrieval techniques are currently our best tool to interpret the observed exoplanet atmospheric data. Said techniques retrieve the optimal atmospheric components and parameters by identifying the best fit to an observed…

地球与行星天体物理 · 物理学 2020-10-21 Kai Hou Yip , Ingo P. Waldmann , Angelos Tsiaras , Giovanna Tinetti

This brief review focuses on methods and applications of modeling exoplanetary atmospheres. We discuss various kinds of state of the art self-consistent and retrieval models in 1D and multi-D with a focus on open questions and short- and…

地球与行星天体物理 · 物理学 2021-12-15 Jonathan J. Fortney , Joanna K. Barstow , Nikku Madhusudhan

It is possible to learn a great deal about exoplanet atmospheres even when we cannot spatially resolve the planets from their host stars. In this chapter, we overview the basic techniques used to characterize transiting exoplanets -…

地球与行星天体物理 · 物理学 2019-02-06 Laura Kreidberg

Understanding a planet's atmosphere is a necessary condition for understanding not only the planet itself, but also its formation, structure, evolution, and habitability, This puts a premium on obtaining spectra, and developing credible…

地球与行星天体物理 · 物理学 2015-06-18 Adam Burrows

Exoplanet atmospheric retrieval is a computational technique widely used to infer properties of planetary atmospheres from remote spectroscopic observations. Retrieval codes typically employ Bayesian sampling algorithms or machine learning…

地球与行星天体物理 · 物理学 2023-03-24 Ryan J. MacDonald , Natasha E. Batalha

Spectra of exoplanet atmospheres provide us the opportunity to improve our understanding of these objects just as remote sensing in our own solar system has increased our understanding of the solar system bodies. The challenge is to…

地球与行星天体物理 · 物理学 2015-06-15 Michael R. Line , Aaron Wolf , Xi Zhang , Heather Knutson , Joshua Kammer , Elias Ellison , Pieter Deroo , Dave Crisp , Yuk Yung

Transiting exoplanets provide detailed access to their atmospheres, as the planet's signal can be effectively separated from that of its host star. For transiting exoplanets three fundamental atmospheric measurements are possible:…

地球与行星天体物理 · 物理学 2018-04-23 David K. Sing

Solar System observations that serve as analogs for exoplanet remote sensing data can provide important opportunities to validate ideas and models related to exoplanet environments. Critically, and unlike true exoplanet observations, Solar…

地球与行星天体物理 · 物理学 2026-01-23 Tyler D. Robinson , Arnaud Salvador

It has been shown that spectroscopy of transiting extrasolar planets can potentially provide a wealth of information about their atmospheres. Herein, we set up the inverse problem in spectroscopic retrieval. We use non-linear optimal…

地球与行星天体物理 · 物理学 2015-06-03 M. R. Line , X. Zhang , G. Vaisht , P. Chen , V. Natraj , P. Chen , Y. L. Yung

Over the past decade, the study of extrasolar planets has evolved rapidly from plain detection and identification to comprehensive categorization and characterization of exoplanet systems and their atmospheres. Atmospheric retrieval, the…

We propose a method for observing transiting exoplanets with near-infrared high-resolution spectrometers. We aim to create a robust data analysis method for recovering atmospheric transmission spectra from transiting exoplanets over a wide…

天体物理仪器与方法 · 物理学 2015-06-17 Erik Aronson , Pierre Waldén , Nikolai Piskunov

Atmospheric spectroscopy provides a window into the properties of exoplanets. However, the physical interpretation of retrieved data and its implications for the internal properties of exoplanets remains nebulous. This letter addresses…

地球与行星天体物理 · 物理学 2024-06-24 Darius Modirrousta-Galian , Riccardo Spinelli , Antonio Jimenez-Escobar

The use of machine learning is becoming ubiquitous in astronomy, but remains rare in the study of the atmospheres of exoplanets. Given the spectrum of an exoplanetary atmosphere, a multi-parameter space is swept through in real time to find…

地球与行星天体物理 · 物理学 2018-06-12 Pablo Marquez-Neila , Chloe Fisher , Raphael Sznitman , Kevin Heng

Thanks to the advances in modern instrumentation we have learned about many exoplanets that span a wide range of masses and composition. Studying their atmospheres provides insight into planetary origin, evolution, dynamics, and…

地球与行星天体物理 · 物理学 2019-09-18 D. Shulyak , M. Rengel , A. Reiners , U. Seemann , F. Yan

With the increasing number of directly imaged giant exoplanets the current atmosphere models are often not capable of fully explaining the spectra and luminosity of the sources. A particularly challenging component of the atmosphere models…

地球与行星天体物理 · 物理学 2015-06-11 Veselin B. Kostov , Dániel Apai

Inverse techniques are used to extract information about an exoplanet's atmosphere. These techniques are prone to biased results if the appropriate forward model is not used. One assumption used in a forward model is to assume that the…

地球与行星天体物理 · 物理学 2022-03-30 Jake Taylor

The evolution of space technology in recent years, fueled by advancements in computing such as Artificial Intelligence (AI) and machine learning (ML), has profoundly transformed our capacity to explore the cosmos. Missions like the James…

地球与行星天体物理 · 物理学 2025-10-13 Vasuda Trehan , Kevin H. Knuth , M. J. Way
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