ATMOSPHERIX: I- an open source high-resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou
ABSTRACT Atmospheric characterization of exoplanets from the ground is an actively growing field of research. In this context, we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high-resolution spectroscopy. This paper pre...
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Veröffentlicht in: | Monthly notices of the Royal Astronomical Society 2024-01, Vol.527 (1), p.544-565 |
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creator | Klein, Baptiste Debras, Florian Donati, Jean-François Hood, Thea Moutou, Claire Carmona, Andres Ould-elkhim, Merwan Bézard, Bruno Charnay, Benjamin Fouqué, Pascal Masson, Adrien Vinatier, Sandrine Baruteau, Clément Boisse, Isabelle Bonfils, Xavier Chiavassa, Andrea Delfosse, Xavier Dethier, William Hebrard, Guillaume Kiefer, Flavien Leconte, Jérémy Martioli, Eder Parmentier, Vivien Petit, Pascal Pluriel, William Selsis, Franck Teinturier, Lucas Tremblin, Pascal Turbet, Martin Venot, Olivia Wyttenbach, Aurélien |
description | ABSTRACT
Atmospheric characterization of exoplanets from the ground is an actively growing field of research. In this context, we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high-resolution spectroscopy. This paper presents the publicly available data analysis pipeline and demonstrates the robustness of the recovered planetary parameters from synthetic data. Simulating planetary transits using synthetic transmission spectra of a hot Jupiter that were injected into real SPIRou observations of the non-transiting system Gl 15 A, we show that our pipeline is successful at recovering the planetary signal and input atmospheric parameters. We also introduce a deep learning algorithm to optimize data reduction which proves to be a reliable, alternative tool to the commonly used principal component analysis. We estimate the level of uncertainties and possible biases when retrieving parameters such as temperature and composition and hence the level of confidence in the case of retrieval from real data. Finally, we apply our pipeline onto two real transits of HD 189733 b observed with SPIRou and obtain similar results than in the literature. In summary, we have developed a publicly available and robust pipeline for the forthcoming studies of the targets to be observed in the framework of the ATMOSPHERIX consortium, which can easily be adapted to other high resolution instruments than SPIRou (e.g. VLT-CRIRES, MAROON-X, ELT-ANDES). |
doi_str_mv | 10.1093/mnras/stad2607 |
format | Article |
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Atmospheric characterization of exoplanets from the ground is an actively growing field of research. In this context, we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high-resolution spectroscopy. This paper presents the publicly available data analysis pipeline and demonstrates the robustness of the recovered planetary parameters from synthetic data. Simulating planetary transits using synthetic transmission spectra of a hot Jupiter that were injected into real SPIRou observations of the non-transiting system Gl 15 A, we show that our pipeline is successful at recovering the planetary signal and input atmospheric parameters. We also introduce a deep learning algorithm to optimize data reduction which proves to be a reliable, alternative tool to the commonly used principal component analysis. We estimate the level of uncertainties and possible biases when retrieving parameters such as temperature and composition and hence the level of confidence in the case of retrieval from real data. Finally, we apply our pipeline onto two real transits of HD 189733 b observed with SPIRou and obtain similar results than in the literature. In summary, we have developed a publicly available and robust pipeline for the forthcoming studies of the targets to be observed in the framework of the ATMOSPHERIX consortium, which can easily be adapted to other high resolution instruments than SPIRou (e.g. VLT-CRIRES, MAROON-X, ELT-ANDES).</description><identifier>ISSN: 0035-8711</identifier><identifier>EISSN: 1365-2966</identifier><identifier>DOI: 10.1093/mnras/stad2607</identifier><language>eng</language><publisher>London: Oxford University Press</publisher><subject>Algorithms ; Consortia ; Data analysis ; Extrasolar planets ; Gas giant planets ; High resolution ; Machine learning ; Parameter estimation ; Parameter robustness ; Parameter uncertainty ; Planetary composition ; Principal components analysis ; Research projects ; Sciences of the Universe ; Spectrum analysis ; Synthetic data ; Transit ; Uncertainty analysis</subject><ispartof>Monthly notices of the Royal Astronomical Society, 2024-01, Vol.527 (1), p.544-565</ispartof><rights>2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society. 2023</rights><rights>2023 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-c2762a8a48fd3c3fba3978ea99e934cc3eb43bdd425c8edbda4f16807ff5b9f13</citedby><cites>FETCH-LOGICAL-c375t-c2762a8a48fd3c3fba3978ea99e934cc3eb43bdd425c8edbda4f16807ff5b9f13</cites><orcidid>0000-0003-0637-5236 ; 0000-0001-5541-2887 ; 0000-0002-2672-3456 ; 0000-0001-6172-3403 ; 0000-0003-2854-765X ; 0000-0002-3113-4840 ; 0000-0003-1857-7230 ; 0000-0002-3555-480X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,864,885,1603,27922,27923</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04252128$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Klein, Baptiste</creatorcontrib><creatorcontrib>Debras, Florian</creatorcontrib><creatorcontrib>Donati, Jean-François</creatorcontrib><creatorcontrib>Hood, Thea</creatorcontrib><creatorcontrib>Moutou, Claire</creatorcontrib><creatorcontrib>Carmona, Andres</creatorcontrib><creatorcontrib>Ould-elkhim, Merwan</creatorcontrib><creatorcontrib>Bézard, Bruno</creatorcontrib><creatorcontrib>Charnay, Benjamin</creatorcontrib><creatorcontrib>Fouqué, Pascal</creatorcontrib><creatorcontrib>Masson, Adrien</creatorcontrib><creatorcontrib>Vinatier, Sandrine</creatorcontrib><creatorcontrib>Baruteau, Clément</creatorcontrib><creatorcontrib>Boisse, Isabelle</creatorcontrib><creatorcontrib>Bonfils, Xavier</creatorcontrib><creatorcontrib>Chiavassa, Andrea</creatorcontrib><creatorcontrib>Delfosse, Xavier</creatorcontrib><creatorcontrib>Dethier, William</creatorcontrib><creatorcontrib>Hebrard, Guillaume</creatorcontrib><creatorcontrib>Kiefer, Flavien</creatorcontrib><creatorcontrib>Leconte, Jérémy</creatorcontrib><creatorcontrib>Martioli, Eder</creatorcontrib><creatorcontrib>Parmentier, Vivien</creatorcontrib><creatorcontrib>Petit, Pascal</creatorcontrib><creatorcontrib>Pluriel, William</creatorcontrib><creatorcontrib>Selsis, Franck</creatorcontrib><creatorcontrib>Teinturier, Lucas</creatorcontrib><creatorcontrib>Tremblin, Pascal</creatorcontrib><creatorcontrib>Turbet, Martin</creatorcontrib><creatorcontrib>Venot, Olivia</creatorcontrib><creatorcontrib>Wyttenbach, Aurélien</creatorcontrib><title>ATMOSPHERIX: I- an open source high-resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou</title><title>Monthly notices of the Royal Astronomical Society</title><description>ABSTRACT
Atmospheric characterization of exoplanets from the ground is an actively growing field of research. In this context, we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high-resolution spectroscopy. This paper presents the publicly available data analysis pipeline and demonstrates the robustness of the recovered planetary parameters from synthetic data. Simulating planetary transits using synthetic transmission spectra of a hot Jupiter that were injected into real SPIRou observations of the non-transiting system Gl 15 A, we show that our pipeline is successful at recovering the planetary signal and input atmospheric parameters. We also introduce a deep learning algorithm to optimize data reduction which proves to be a reliable, alternative tool to the commonly used principal component analysis. We estimate the level of uncertainties and possible biases when retrieving parameters such as temperature and composition and hence the level of confidence in the case of retrieval from real data. Finally, we apply our pipeline onto two real transits of HD 189733 b observed with SPIRou and obtain similar results than in the literature. In summary, we have developed a publicly available and robust pipeline for the forthcoming studies of the targets to be observed in the framework of the ATMOSPHERIX consortium, which can easily be adapted to other high resolution instruments than SPIRou (e.g. VLT-CRIRES, MAROON-X, ELT-ANDES).</description><subject>Algorithms</subject><subject>Consortia</subject><subject>Data analysis</subject><subject>Extrasolar planets</subject><subject>Gas giant planets</subject><subject>High resolution</subject><subject>Machine learning</subject><subject>Parameter estimation</subject><subject>Parameter robustness</subject><subject>Parameter uncertainty</subject><subject>Planetary composition</subject><subject>Principal components analysis</subject><subject>Research projects</subject><subject>Sciences of the Universe</subject><subject>Spectrum analysis</subject><subject>Synthetic data</subject><subject>Transit</subject><subject>Uncertainty analysis</subject><issn>0035-8711</issn><issn>1365-2966</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>TOX</sourceid><recordid>eNqFkb1PwzAQxS0EEqWwMltiYkhrx4mTsFUV0EpFrdoisVmOY5NUaWxsB9r_npTyMTKd7vS7p3f3ALjGaIBRRobbxnI3dJ4XIUXJCehhQuMgzCg9BT2ESBykCcbn4MK5DUIoIiHtgd1o_TRfLSb3y-nLHZwGkDdQG9lAp1srJCyr1zKw0um69ZVuoLe8cdvKuUPjjBTeaie02UNTGVlXjYRKWyh32tS8kd5B7rfamVJ2IvCj8iVcLaZL3V6CM8VrJ6--ax88P9yvx5NgNn-cjkezQJAk9oEIExrylEepKoggKuckS1LJs0xmJBKCyDwieVFEYSxSWeQFjxSmKUqUivNMYdIHt0fdktfM2GrL7Z5pXrHJaMYOM9SthjhM3w_szZE1Vr-10nm26b7QdPYYwZhEGU0o7ajBkRLd6c5K9SuLETskwb6SYD9J_FnQrfmP_QSwzI41</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Klein, Baptiste</creator><creator>Debras, Florian</creator><creator>Donati, Jean-François</creator><creator>Hood, Thea</creator><creator>Moutou, Claire</creator><creator>Carmona, Andres</creator><creator>Ould-elkhim, Merwan</creator><creator>Bézard, Bruno</creator><creator>Charnay, Benjamin</creator><creator>Fouqué, Pascal</creator><creator>Masson, Adrien</creator><creator>Vinatier, Sandrine</creator><creator>Baruteau, Clément</creator><creator>Boisse, Isabelle</creator><creator>Bonfils, Xavier</creator><creator>Chiavassa, Andrea</creator><creator>Delfosse, Xavier</creator><creator>Dethier, William</creator><creator>Hebrard, Guillaume</creator><creator>Kiefer, Flavien</creator><creator>Leconte, Jérémy</creator><creator>Martioli, Eder</creator><creator>Parmentier, Vivien</creator><creator>Petit, Pascal</creator><creator>Pluriel, William</creator><creator>Selsis, Franck</creator><creator>Teinturier, Lucas</creator><creator>Tremblin, Pascal</creator><creator>Turbet, Martin</creator><creator>Venot, Olivia</creator><creator>Wyttenbach, Aurélien</creator><general>Oxford University Press</general><general>Oxford University Press (OUP): Policy P - Oxford Open Option A</general><scope>TOX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0003-0637-5236</orcidid><orcidid>https://orcid.org/0000-0001-5541-2887</orcidid><orcidid>https://orcid.org/0000-0002-2672-3456</orcidid><orcidid>https://orcid.org/0000-0001-6172-3403</orcidid><orcidid>https://orcid.org/0000-0003-2854-765X</orcidid><orcidid>https://orcid.org/0000-0002-3113-4840</orcidid><orcidid>https://orcid.org/0000-0003-1857-7230</orcidid><orcidid>https://orcid.org/0000-0002-3555-480X</orcidid></search><sort><creationdate>20240101</creationdate><title>ATMOSPHERIX: I- an open source high-resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou</title><author>Klein, Baptiste ; Debras, Florian ; Donati, Jean-François ; Hood, Thea ; Moutou, Claire ; Carmona, Andres ; Ould-elkhim, Merwan ; Bézard, Bruno ; Charnay, Benjamin ; Fouqué, Pascal ; Masson, Adrien ; Vinatier, Sandrine ; Baruteau, Clément ; Boisse, Isabelle ; Bonfils, Xavier ; Chiavassa, Andrea ; Delfosse, Xavier ; Dethier, William ; Hebrard, Guillaume ; Kiefer, Flavien ; Leconte, Jérémy ; Martioli, Eder ; Parmentier, Vivien ; Petit, Pascal ; Pluriel, William ; Selsis, Franck ; Teinturier, Lucas ; Tremblin, Pascal ; Turbet, Martin ; Venot, Olivia ; Wyttenbach, Aurélien</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-c2762a8a48fd3c3fba3978ea99e934cc3eb43bdd425c8edbda4f16807ff5b9f13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Algorithms</topic><topic>Consortia</topic><topic>Data analysis</topic><topic>Extrasolar planets</topic><topic>Gas giant planets</topic><topic>High resolution</topic><topic>Machine learning</topic><topic>Parameter estimation</topic><topic>Parameter robustness</topic><topic>Parameter uncertainty</topic><topic>Planetary composition</topic><topic>Principal components analysis</topic><topic>Research projects</topic><topic>Sciences of the Universe</topic><topic>Spectrum analysis</topic><topic>Synthetic data</topic><topic>Transit</topic><topic>Uncertainty analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Klein, Baptiste</creatorcontrib><creatorcontrib>Debras, Florian</creatorcontrib><creatorcontrib>Donati, Jean-François</creatorcontrib><creatorcontrib>Hood, Thea</creatorcontrib><creatorcontrib>Moutou, Claire</creatorcontrib><creatorcontrib>Carmona, Andres</creatorcontrib><creatorcontrib>Ould-elkhim, Merwan</creatorcontrib><creatorcontrib>Bézard, Bruno</creatorcontrib><creatorcontrib>Charnay, Benjamin</creatorcontrib><creatorcontrib>Fouqué, Pascal</creatorcontrib><creatorcontrib>Masson, Adrien</creatorcontrib><creatorcontrib>Vinatier, Sandrine</creatorcontrib><creatorcontrib>Baruteau, Clément</creatorcontrib><creatorcontrib>Boisse, Isabelle</creatorcontrib><creatorcontrib>Bonfils, Xavier</creatorcontrib><creatorcontrib>Chiavassa, Andrea</creatorcontrib><creatorcontrib>Delfosse, Xavier</creatorcontrib><creatorcontrib>Dethier, William</creatorcontrib><creatorcontrib>Hebrard, Guillaume</creatorcontrib><creatorcontrib>Kiefer, Flavien</creatorcontrib><creatorcontrib>Leconte, Jérémy</creatorcontrib><creatorcontrib>Martioli, Eder</creatorcontrib><creatorcontrib>Parmentier, Vivien</creatorcontrib><creatorcontrib>Petit, Pascal</creatorcontrib><creatorcontrib>Pluriel, William</creatorcontrib><creatorcontrib>Selsis, Franck</creatorcontrib><creatorcontrib>Teinturier, Lucas</creatorcontrib><creatorcontrib>Tremblin, Pascal</creatorcontrib><creatorcontrib>Turbet, Martin</creatorcontrib><creatorcontrib>Venot, Olivia</creatorcontrib><creatorcontrib>Wyttenbach, Aurélien</creatorcontrib><collection>Oxford Journals Open Access Collection</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Monthly notices of the Royal Astronomical Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Klein, Baptiste</au><au>Debras, Florian</au><au>Donati, Jean-François</au><au>Hood, Thea</au><au>Moutou, Claire</au><au>Carmona, Andres</au><au>Ould-elkhim, Merwan</au><au>Bézard, Bruno</au><au>Charnay, Benjamin</au><au>Fouqué, Pascal</au><au>Masson, Adrien</au><au>Vinatier, Sandrine</au><au>Baruteau, Clément</au><au>Boisse, Isabelle</au><au>Bonfils, Xavier</au><au>Chiavassa, Andrea</au><au>Delfosse, Xavier</au><au>Dethier, William</au><au>Hebrard, Guillaume</au><au>Kiefer, Flavien</au><au>Leconte, Jérémy</au><au>Martioli, Eder</au><au>Parmentier, Vivien</au><au>Petit, Pascal</au><au>Pluriel, William</au><au>Selsis, Franck</au><au>Teinturier, Lucas</au><au>Tremblin, Pascal</au><au>Turbet, Martin</au><au>Venot, Olivia</au><au>Wyttenbach, Aurélien</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ATMOSPHERIX: I- an open source high-resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou</atitle><jtitle>Monthly notices of the Royal Astronomical Society</jtitle><date>2024-01-01</date><risdate>2024</risdate><volume>527</volume><issue>1</issue><spage>544</spage><epage>565</epage><pages>544-565</pages><issn>0035-8711</issn><eissn>1365-2966</eissn><abstract>ABSTRACT
Atmospheric characterization of exoplanets from the ground is an actively growing field of research. In this context, we have created the ATMOSPHERIX consortium: a research project aimed at characterizing exoplanets atmospheres using ground-based high-resolution spectroscopy. This paper presents the publicly available data analysis pipeline and demonstrates the robustness of the recovered planetary parameters from synthetic data. Simulating planetary transits using synthetic transmission spectra of a hot Jupiter that were injected into real SPIRou observations of the non-transiting system Gl 15 A, we show that our pipeline is successful at recovering the planetary signal and input atmospheric parameters. We also introduce a deep learning algorithm to optimize data reduction which proves to be a reliable, alternative tool to the commonly used principal component analysis. We estimate the level of uncertainties and possible biases when retrieving parameters such as temperature and composition and hence the level of confidence in the case of retrieval from real data. Finally, we apply our pipeline onto two real transits of HD 189733 b observed with SPIRou and obtain similar results than in the literature. In summary, we have developed a publicly available and robust pipeline for the forthcoming studies of the targets to be observed in the framework of the ATMOSPHERIX consortium, which can easily be adapted to other high resolution instruments than SPIRou (e.g. VLT-CRIRES, MAROON-X, ELT-ANDES).</abstract><cop>London</cop><pub>Oxford University Press</pub><doi>10.1093/mnras/stad2607</doi><tpages>22</tpages><orcidid>https://orcid.org/0000-0003-0637-5236</orcidid><orcidid>https://orcid.org/0000-0001-5541-2887</orcidid><orcidid>https://orcid.org/0000-0002-2672-3456</orcidid><orcidid>https://orcid.org/0000-0001-6172-3403</orcidid><orcidid>https://orcid.org/0000-0003-2854-765X</orcidid><orcidid>https://orcid.org/0000-0002-3113-4840</orcidid><orcidid>https://orcid.org/0000-0003-1857-7230</orcidid><orcidid>https://orcid.org/0000-0002-3555-480X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Algorithms Consortia Data analysis Extrasolar planets Gas giant planets High resolution Machine learning Parameter estimation Parameter robustness Parameter uncertainty Planetary composition Principal components analysis Research projects Sciences of the Universe Spectrum analysis Synthetic data Transit Uncertainty analysis |
title | ATMOSPHERIX: I- an open source high-resolution transmission spectroscopy pipeline for exoplanets atmospheres with SPIRou |
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