Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c

Stellar surface heterogeneities, such as spots and faculae, often contaminate exoplanet transit spectra, hindering precise atmospheric characterization. We demonstrate a novel, epoch-based, model-independent method to mitigate stellar contamination, applicable to multiplanet systems with at least on...

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Main Authors: Alexander D. Rathcke, Lars A. Buchhave, Julien de Wit, Benjamin V. Rackham, Prune C. August, Hannah Diamond-Lowe, João M. MendonÇa, Aaron Bello-Arufe, Mercedes López-Morales, Daniel Kitzmann, Kevin Heng
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Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal Letters
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Online Access:https://doi.org/10.3847/2041-8213/ada5c7
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author Alexander D. Rathcke
Lars A. Buchhave
Julien de Wit
Benjamin V. Rackham
Prune C. August
Hannah Diamond-Lowe
João M. MendonÇa
Aaron Bello-Arufe
Mercedes López-Morales
Daniel Kitzmann
Kevin Heng
author_facet Alexander D. Rathcke
Lars A. Buchhave
Julien de Wit
Benjamin V. Rackham
Prune C. August
Hannah Diamond-Lowe
João M. MendonÇa
Aaron Bello-Arufe
Mercedes López-Morales
Daniel Kitzmann
Kevin Heng
author_sort Alexander D. Rathcke
collection DOAJ
description Stellar surface heterogeneities, such as spots and faculae, often contaminate exoplanet transit spectra, hindering precise atmospheric characterization. We demonstrate a novel, epoch-based, model-independent method to mitigate stellar contamination, applicable to multiplanet systems with at least one airless planet. We apply this method using quasi-simultaneous transits of TRAPPIST-1 b and TRAPPIST-1 c observed on 2024 July 9, with JWST/NIRSpec PRISM. These two planets, with nearly identical radii and impact parameters, are likely to either be bare rocks or possess thin, low-pressure atmospheres, making them ideal candidates for this technique, as variations in their transit spectra would be primarily attributed to stellar activity. Our observations reveal their transit spectra exhibit consistent features, indicating similar levels of stellar contamination. We use TRAPPIST-1 b to correct the transit spectrum of TRAPPIST-1 c, achieving a 2.5 ×  reduction in stellar contamination at shorter wavelengths. At longer wavelengths, lower signal-to-noise ratio prevents clear detection of contamination or full assessment of mitigation. Still, out-of-transit analysis reveals variations across the spectrum, suggesting contamination extends into the longer wavelengths. Based on the success of the correction at shorter wavelengths, we argue that contamination is also reduced at longer wavelengths to a similar extent. This shifts the challenge of detecting atmospheric features to a predominantly white noise issue, which can be addressed by stacking observations. This method enables epoch-specific stellar contamination corrections, allowing coaddition of planetary spectra for reliable searches of secondary atmospheres with signals of 60–250 ppm. Additionally, we identify small-scale cold (∼2000 K) and warm (∼2600 K) regions almost uniformly distributed on TRAPPIST-1, with overall covering fractions varying by ∼0.1% per hour.
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spelling doaj-art-6039e0faefa54e57a7ed8582095fbce12025-08-20T03:09:24ZengIOP PublishingThe Astrophysical Journal Letters2041-82052025-01-019791L1910.3847/2041-8213/ada5c7Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and cAlexander D. Rathcke0https://orcid.org/0000-0002-4227-4953Lars A. Buchhave1https://orcid.org/0000-0003-1605-5666Julien de Wit2https://orcid.org/0000-0003-2415-2191Benjamin V. Rackham3https://orcid.org/0000-0002-3627-1676Prune C. August4https://orcid.org/0000-0003-3829-8554Hannah Diamond-Lowe5https://orcid.org/0000-0001-8274-6639João M. MendonÇa6https://orcid.org/0000-0002-6907-4476Aaron Bello-Arufe7https://orcid.org/0000-0003-3355-1223Mercedes López-Morales8https://orcid.org/0000-0003-3204-8183Daniel Kitzmann9https://orcid.org/0000-0003-4269-3311Kevin Heng10https://orcid.org/0000-0003-1907-5910Department of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dkDepartment of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dkDepartment of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology , 77 Massachusetts Ave., Cambridge, MA 02139, USA; 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 , 77 Massachusetts Ave., Cambridge, MA 02139, USA; Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology , Cambridge, MA 02139, USADepartment of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dkDepartment of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dk; Space Telescope Science Institute , 3700 San Martin Dr., Baltimore, MD 21218, USADepartment of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dk; Department of Physics and Astronomy, University of Southampton , Highfield, Southampton SO17 1BJ, UK; School of Ocean and Earth Science, University of Southampton , Southampton SO14 3ZH, UKDepartment of Space Research and Space Technology, Technical University of Denmark , Elektrovej 328, 2800 Kgs. Lyngby, Denmark ; rathcke@space.dtu.dk; Jet Propulsion Laboratory , California Institute of Technology, Pasadena, CA 91109, USASpace Telescope Science Institute , 3700 San Martin Dr., Baltimore, MD 21218, USASpace Research and Planetary Sciences, Physics Institute, University of Bern , Gesellschaftsstrasse 6, 3012 Bern, Switzerland; Center for Space and Habitability, University of Bern , Gesellschaftsstrasse 6, 3012 Bern, SwitzerlandLudwig Maximilian University , Faculty of Physics, University Observatory, Scheinerstr. 1, Munich D-81679, Germany; ARTORG Center for Biomedical Engineering Research, University of Bern , Murtenstrasse 50, CH-3008 Bern, Switzerland; University College London , Department of Physics & Astronomy, Gower St., London WC1E 6BT, UK; University of Warwick , Department of Physics, Astronomy & Astrophysics Group, Coventry CV4 7AL, UKStellar surface heterogeneities, such as spots and faculae, often contaminate exoplanet transit spectra, hindering precise atmospheric characterization. We demonstrate a novel, epoch-based, model-independent method to mitigate stellar contamination, applicable to multiplanet systems with at least one airless planet. We apply this method using quasi-simultaneous transits of TRAPPIST-1 b and TRAPPIST-1 c observed on 2024 July 9, with JWST/NIRSpec PRISM. These two planets, with nearly identical radii and impact parameters, are likely to either be bare rocks or possess thin, low-pressure atmospheres, making them ideal candidates for this technique, as variations in their transit spectra would be primarily attributed to stellar activity. Our observations reveal their transit spectra exhibit consistent features, indicating similar levels of stellar contamination. We use TRAPPIST-1 b to correct the transit spectrum of TRAPPIST-1 c, achieving a 2.5 ×  reduction in stellar contamination at shorter wavelengths. At longer wavelengths, lower signal-to-noise ratio prevents clear detection of contamination or full assessment of mitigation. Still, out-of-transit analysis reveals variations across the spectrum, suggesting contamination extends into the longer wavelengths. Based on the success of the correction at shorter wavelengths, we argue that contamination is also reduced at longer wavelengths to a similar extent. This shifts the challenge of detecting atmospheric features to a predominantly white noise issue, which can be addressed by stacking observations. This method enables epoch-specific stellar contamination corrections, allowing coaddition of planetary spectra for reliable searches of secondary atmospheres with signals of 60–250 ppm. Additionally, we identify small-scale cold (∼2000 K) and warm (∼2600 K) regions almost uniformly distributed on TRAPPIST-1, with overall covering fractions varying by ∼0.1% per hour.https://doi.org/10.3847/2041-8213/ada5c7Transmission spectroscopyStellar atmospheresPlanet hosting starsExoplanet atmospheresFundamental parameters of starsStarspots
spellingShingle Alexander D. Rathcke
Lars A. Buchhave
Julien de Wit
Benjamin V. Rackham
Prune C. August
Hannah Diamond-Lowe
João M. MendonÇa
Aaron Bello-Arufe
Mercedes López-Morales
Daniel Kitzmann
Kevin Heng
Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
The Astrophysical Journal Letters
Transmission spectroscopy
Stellar atmospheres
Planet hosting stars
Exoplanet atmospheres
Fundamental parameters of stars
Starspots
title Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
title_full Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
title_fullStr Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
title_full_unstemmed Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
title_short Stellar Contamination Correction Using Back-to-back Transits of TRAPPIST-1 b and c
title_sort stellar contamination correction using back to back transits of trappist 1 b and c
topic Transmission spectroscopy
Stellar atmospheres
Planet hosting stars
Exoplanet atmospheres
Fundamental parameters of stars
Starspots
url https://doi.org/10.3847/2041-8213/ada5c7
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