Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy

Transmission spectroscopy is currently the technique best suited to study a wide range of planetary atmospheres, leveraging the filtering of a star’s light by a planet’s atmosphere rather than its own emission. However, as both a planet and its star contribute to the information encoded in a transmi...

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Main Authors: David Berardo, Julien de Wit, Benjamin V. Rackham
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal Letters
Subjects:
Online Access:https://doi.org/10.3847/2041-8213/ad1b5b
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author David Berardo
Julien de Wit
Benjamin V. Rackham
author_facet David Berardo
Julien de Wit
Benjamin V. Rackham
author_sort David Berardo
collection DOAJ
description Transmission spectroscopy is currently the technique best suited to study a wide range of planetary atmospheres, leveraging the filtering of a star’s light by a planet’s atmosphere rather than its own emission. However, as both a planet and its star contribute to the information encoded in a transmission spectrum, an accurate accounting of the stellar contribution is pivotal to enabling robust atmospheric studies. As current stellar models lack the required fidelity for such accounting, we investigate here the capability of time-resolved spectroscopy to yield high-fidelity, empirical constraints on the emission spectra of stellar surface heterogeneities (i.e., spots and faculae). Using TRAPPIST-1 as a test case, we simulate time-resolved JWST/NIRISS spectra and demonstrate that with a blind approach incorporating no physical priors, it is possible to constrain the photospheric spectrum to ≤0.5% and the spectra of stellar heterogeneities to within ≲10%, a precision that enables photon-limited (rather than model-limited) science. Now confident that time-resolved spectroscopy can propel the field in an era of robust high-precision transmission spectroscopy, we introduce a list of areas for future exploration to harness its full potential, including wavelength dependency of limb darkening and hybrid priors from stellar models as a means to further break the degeneracy between the position, size, and spectra of heterogeneities.
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spelling doaj.art-bbca66a308d5494f9a32bbd6b2f869f92024-01-17T13:59:17ZengIOP PublishingThe Astrophysical Journal Letters2041-82052024-01-019611L1810.3847/2041-8213/ad1b5bEmpirically Constraining the Spectra of Stellar Surface Features Using Time-resolved SpectroscopyDavid Berardo0https://orcid.org/0000-0001-6298-412XJulien de Wit1https://orcid.org/0000-0003-2415-2191Benjamin V. Rackham2https://orcid.org/0000-0002-3627-1676Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, MA 02139, USA ; berardo@mit.edu; Department of Physics and Kavli Institute for Astrophysics and Space Research , Massachusetts Institute of Technology, Cambridge, MA 02139, USADepartment of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, MA 02139, USA ; berardo@mit.eduDepartment of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology , Cambridge, MA 02139, USA ; berardo@mit.eduTransmission spectroscopy is currently the technique best suited to study a wide range of planetary atmospheres, leveraging the filtering of a star’s light by a planet’s atmosphere rather than its own emission. However, as both a planet and its star contribute to the information encoded in a transmission spectrum, an accurate accounting of the stellar contribution is pivotal to enabling robust atmospheric studies. As current stellar models lack the required fidelity for such accounting, we investigate here the capability of time-resolved spectroscopy to yield high-fidelity, empirical constraints on the emission spectra of stellar surface heterogeneities (i.e., spots and faculae). Using TRAPPIST-1 as a test case, we simulate time-resolved JWST/NIRISS spectra and demonstrate that with a blind approach incorporating no physical priors, it is possible to constrain the photospheric spectrum to ≤0.5% and the spectra of stellar heterogeneities to within ≲10%, a precision that enables photon-limited (rather than model-limited) science. Now confident that time-resolved spectroscopy can propel the field in an era of robust high-precision transmission spectroscopy, we introduce a list of areas for future exploration to harness its full potential, including wavelength dependency of limb darkening and hybrid priors from stellar models as a means to further break the degeneracy between the position, size, and spectra of heterogeneities.https://doi.org/10.3847/2041-8213/ad1b5bExoplanetsStellar surfacesTransmission spectroscopyAstronomical techniques
spellingShingle David Berardo
Julien de Wit
Benjamin V. Rackham
Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
The Astrophysical Journal Letters
Exoplanets
Stellar surfaces
Transmission spectroscopy
Astronomical techniques
title Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
title_full Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
title_fullStr Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
title_full_unstemmed Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
title_short Empirically Constraining the Spectra of Stellar Surface Features Using Time-resolved Spectroscopy
title_sort empirically constraining the spectra of stellar surface features using time resolved spectroscopy
topic Exoplanets
Stellar surfaces
Transmission spectroscopy
Astronomical techniques
url https://doi.org/10.3847/2041-8213/ad1b5b
work_keys_str_mv AT davidberardo empiricallyconstrainingthespectraofstellarsurfacefeaturesusingtimeresolvedspectroscopy
AT juliendewit empiricallyconstrainingthespectraofstellarsurfacefeaturesusingtimeresolvedspectroscopy
AT benjaminvrackham empiricallyconstrainingthespectraofstellarsurfacefeaturesusingtimeresolvedspectroscopy