The Detection of Transiting Exoplanets by Gaia
Context: The space telescope Gaia is dedicated mainly to performing high-precision astrometry, but also spectroscopy and epoch photometry which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far h...
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creator | Panahi, Aviad Zucker, Shay Clementini, Gisella Audard, Marc Binnenfeld, Avraham Cusano, Felice Evans, Dafydd Wyn Gomel, Roy Holl, Berry Ilyin, Ilya Grégory Jevardat de Fombelle Mazeh, Tsevi Mowlavi, Nami Nienartowicz, Krzysztof Rimoldini, Lorenzo Shahaf, Sahar Eyer, Laurent |
description | Context: The space telescope Gaia is dedicated mainly to performing high-precision astrometry, but also spectroscopy and epoch photometry which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far have finally matured enough to allow the detection of some exoplanets. Aims: In order to fully exploit the scientific potential of Gaia, we search its photometric data for the signatures of exoplanetary transits. Methods: The search relies on a version of the Box-Least-Square (BLS) method, applied to a set of stars prioritized by machine-learning classification methods. An independent photometric validation was obtained using the public full-frame images of TESS. In order to validate the first two candidates, radial-velocity follow-up observations were performed using the spectrograph PEPSI of the Large Binocular Telescope (LBT). Results: The radial-velocity measurements confirm that two of the candidates are indeed hot Jupiters. Thus, they are the first exoplanets detected by Gaia - Gaia-1b and Gaia-2b. Conclusions: Gaia-1b and Gaia-2b demonstrate that the approach presented in this paper is indeed effective. This approach will be used to assemble a set of additional exoplanet candidates, to be released in Gaia third data release, ensuring better fulfillment of the exoplanet detection potential of Gaia. |
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fullrecord | <record><control><sourceid>proquest_arxiv</sourceid><recordid>TN_cdi_arxiv_primary_2205_10197</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2667956982</sourcerecordid><originalsourceid>FETCH-LOGICAL-a522-7b0b6db01ccf1de0aaac6cec1481bcd767852a5be3cfe984e00d75c1496937a03</originalsourceid><addsrcrecordid>eNotj8tOwzAURC0kJKrSD2CFJdYJ13b8WqJSClIlNtlH144DrkpS7BS1f09oWc1ijkZzCLljUFZGSnjEdIw_JecgSwbM6isy40KwwlSc35BFzlsA4EpzKcWMlPVnoM9hDH6MQ0-HjtYJ-xzH2H_Q1XHY77APY6buRNcY8ZZcd7jLYfGfc1K_rOrla7F5X78tnzYFSs4L7cCp1gHzvmNtAET0ygfPKsOcb7XSRnKULgjfBWuqANBqOdVWWaERxJzcX2bPMs0-xS9Mp-ZPqjlLTcTDhdin4fsQ8thsh0Pqp08NV0pbqazh4hcfeE5i</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2667956982</pqid></control><display><type>article</type><title>The Detection of Transiting Exoplanets by Gaia</title><source>arXiv.org</source><source>Free E- Journals</source><creator>Panahi, Aviad ; Zucker, Shay ; Clementini, Gisella ; Audard, Marc ; Binnenfeld, Avraham ; Cusano, Felice ; Evans, Dafydd Wyn ; Gomel, Roy ; Holl, Berry ; Ilyin, Ilya ; Grégory Jevardat de Fombelle ; Mazeh, Tsevi ; Mowlavi, Nami ; Nienartowicz, Krzysztof ; Rimoldini, Lorenzo ; Shahaf, Sahar ; Eyer, Laurent</creator><creatorcontrib>Panahi, Aviad ; Zucker, Shay ; Clementini, Gisella ; Audard, Marc ; Binnenfeld, Avraham ; Cusano, Felice ; Evans, Dafydd Wyn ; Gomel, Roy ; Holl, Berry ; Ilyin, Ilya ; Grégory Jevardat de Fombelle ; Mazeh, Tsevi ; Mowlavi, Nami ; Nienartowicz, Krzysztof ; Rimoldini, Lorenzo ; Shahaf, Sahar ; Eyer, Laurent</creatorcontrib><description>Context: The space telescope Gaia is dedicated mainly to performing high-precision astrometry, but also spectroscopy and epoch photometry which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far have finally matured enough to allow the detection of some exoplanets. Aims: In order to fully exploit the scientific potential of Gaia, we search its photometric data for the signatures of exoplanetary transits. Methods: The search relies on a version of the Box-Least-Square (BLS) method, applied to a set of stars prioritized by machine-learning classification methods. An independent photometric validation was obtained using the public full-frame images of TESS. In order to validate the first two candidates, radial-velocity follow-up observations were performed using the spectrograph PEPSI of the Large Binocular Telescope (LBT). Results: The radial-velocity measurements confirm that two of the candidates are indeed hot Jupiters. Thus, they are the first exoplanets detected by Gaia - Gaia-1b and Gaia-2b. Conclusions: Gaia-1b and Gaia-2b demonstrate that the approach presented in this paper is indeed effective. This approach will be used to assemble a set of additional exoplanet candidates, to be released in Gaia third data release, ensuring better fulfillment of the exoplanet detection potential of Gaia.</description><identifier>EISSN: 2331-8422</identifier><identifier>DOI: 10.48550/arxiv.2205.10197</identifier><language>eng</language><publisher>Ithaca: Cornell University Library, arXiv.org</publisher><subject>Astrometry ; Data search ; Extrasolar planets ; Gas giant planets ; Machine learning ; Photometry ; Physics - Earth and Planetary Astrophysics ; Physics - Instrumentation and Methods for Astrophysics ; Planet detection ; Space telescopes ; Transit</subject><ispartof>arXiv.org, 2022-05</ispartof><rights>2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,776,780,881,27904</link.rule.ids><backlink>$$Uhttps://doi.org/10.1051/0004-6361/202243497$$DView published paper (Access to full text may be restricted)$$Hfree_for_read</backlink><backlink>$$Uhttps://doi.org/10.48550/arXiv.2205.10197$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Panahi, Aviad</creatorcontrib><creatorcontrib>Zucker, Shay</creatorcontrib><creatorcontrib>Clementini, Gisella</creatorcontrib><creatorcontrib>Audard, Marc</creatorcontrib><creatorcontrib>Binnenfeld, Avraham</creatorcontrib><creatorcontrib>Cusano, Felice</creatorcontrib><creatorcontrib>Evans, Dafydd Wyn</creatorcontrib><creatorcontrib>Gomel, Roy</creatorcontrib><creatorcontrib>Holl, Berry</creatorcontrib><creatorcontrib>Ilyin, Ilya</creatorcontrib><creatorcontrib>Grégory Jevardat de Fombelle</creatorcontrib><creatorcontrib>Mazeh, Tsevi</creatorcontrib><creatorcontrib>Mowlavi, Nami</creatorcontrib><creatorcontrib>Nienartowicz, Krzysztof</creatorcontrib><creatorcontrib>Rimoldini, Lorenzo</creatorcontrib><creatorcontrib>Shahaf, Sahar</creatorcontrib><creatorcontrib>Eyer, Laurent</creatorcontrib><title>The Detection of Transiting Exoplanets by Gaia</title><title>arXiv.org</title><description>Context: The space telescope Gaia is dedicated mainly to performing high-precision astrometry, but also spectroscopy and epoch photometry which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far have finally matured enough to allow the detection of some exoplanets. Aims: In order to fully exploit the scientific potential of Gaia, we search its photometric data for the signatures of exoplanetary transits. Methods: The search relies on a version of the Box-Least-Square (BLS) method, applied to a set of stars prioritized by machine-learning classification methods. An independent photometric validation was obtained using the public full-frame images of TESS. In order to validate the first two candidates, radial-velocity follow-up observations were performed using the spectrograph PEPSI of the Large Binocular Telescope (LBT). Results: The radial-velocity measurements confirm that two of the candidates are indeed hot Jupiters. Thus, they are the first exoplanets detected by Gaia - Gaia-1b and Gaia-2b. Conclusions: Gaia-1b and Gaia-2b demonstrate that the approach presented in this paper is indeed effective. This approach will be used to assemble a set of additional exoplanet candidates, to be released in Gaia third data release, ensuring better fulfillment of the exoplanet detection potential of Gaia.</description><subject>Astrometry</subject><subject>Data search</subject><subject>Extrasolar planets</subject><subject>Gas giant planets</subject><subject>Machine learning</subject><subject>Photometry</subject><subject>Physics - Earth and Planetary Astrophysics</subject><subject>Physics - Instrumentation and Methods for Astrophysics</subject><subject>Planet detection</subject><subject>Space telescopes</subject><subject>Transit</subject><issn>2331-8422</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GOX</sourceid><recordid>eNotj8tOwzAURC0kJKrSD2CFJdYJ13b8WqJSClIlNtlH144DrkpS7BS1f09oWc1ijkZzCLljUFZGSnjEdIw_JecgSwbM6isy40KwwlSc35BFzlsA4EpzKcWMlPVnoM9hDH6MQ0-HjtYJ-xzH2H_Q1XHY77APY6buRNcY8ZZcd7jLYfGfc1K_rOrla7F5X78tnzYFSs4L7cCp1gHzvmNtAET0ygfPKsOcb7XSRnKULgjfBWuqANBqOdVWWaERxJzcX2bPMs0-xS9Mp-ZPqjlLTcTDhdin4fsQ8thsh0Pqp08NV0pbqazh4hcfeE5i</recordid><startdate>20220520</startdate><enddate>20220520</enddate><creator>Panahi, Aviad</creator><creator>Zucker, Shay</creator><creator>Clementini, Gisella</creator><creator>Audard, Marc</creator><creator>Binnenfeld, Avraham</creator><creator>Cusano, Felice</creator><creator>Evans, Dafydd Wyn</creator><creator>Gomel, Roy</creator><creator>Holl, Berry</creator><creator>Ilyin, Ilya</creator><creator>Grégory Jevardat de Fombelle</creator><creator>Mazeh, Tsevi</creator><creator>Mowlavi, Nami</creator><creator>Nienartowicz, Krzysztof</creator><creator>Rimoldini, Lorenzo</creator><creator>Shahaf, Sahar</creator><creator>Eyer, Laurent</creator><general>Cornell University Library, arXiv.org</general><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>GOX</scope></search><sort><creationdate>20220520</creationdate><title>The Detection of Transiting Exoplanets by Gaia</title><author>Panahi, Aviad ; Zucker, Shay ; Clementini, Gisella ; Audard, Marc ; Binnenfeld, Avraham ; Cusano, Felice ; Evans, Dafydd Wyn ; Gomel, Roy ; Holl, Berry ; Ilyin, Ilya ; Grégory Jevardat de Fombelle ; Mazeh, Tsevi ; Mowlavi, Nami ; Nienartowicz, Krzysztof ; Rimoldini, Lorenzo ; Shahaf, Sahar ; Eyer, Laurent</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a522-7b0b6db01ccf1de0aaac6cec1481bcd767852a5be3cfe984e00d75c1496937a03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Astrometry</topic><topic>Data search</topic><topic>Extrasolar planets</topic><topic>Gas giant planets</topic><topic>Machine learning</topic><topic>Photometry</topic><topic>Physics - Earth and Planetary Astrophysics</topic><topic>Physics - Instrumentation and Methods for Astrophysics</topic><topic>Planet detection</topic><topic>Space telescopes</topic><topic>Transit</topic><toplevel>online_resources</toplevel><creatorcontrib>Panahi, Aviad</creatorcontrib><creatorcontrib>Zucker, Shay</creatorcontrib><creatorcontrib>Clementini, Gisella</creatorcontrib><creatorcontrib>Audard, Marc</creatorcontrib><creatorcontrib>Binnenfeld, Avraham</creatorcontrib><creatorcontrib>Cusano, Felice</creatorcontrib><creatorcontrib>Evans, Dafydd Wyn</creatorcontrib><creatorcontrib>Gomel, Roy</creatorcontrib><creatorcontrib>Holl, Berry</creatorcontrib><creatorcontrib>Ilyin, Ilya</creatorcontrib><creatorcontrib>Grégory Jevardat de Fombelle</creatorcontrib><creatorcontrib>Mazeh, Tsevi</creatorcontrib><creatorcontrib>Mowlavi, Nami</creatorcontrib><creatorcontrib>Nienartowicz, Krzysztof</creatorcontrib><creatorcontrib>Rimoldini, Lorenzo</creatorcontrib><creatorcontrib>Shahaf, Sahar</creatorcontrib><creatorcontrib>Eyer, Laurent</creatorcontrib><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>arXiv.org</collection><jtitle>arXiv.org</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Panahi, Aviad</au><au>Zucker, Shay</au><au>Clementini, Gisella</au><au>Audard, Marc</au><au>Binnenfeld, Avraham</au><au>Cusano, Felice</au><au>Evans, Dafydd Wyn</au><au>Gomel, Roy</au><au>Holl, Berry</au><au>Ilyin, Ilya</au><au>Grégory Jevardat de Fombelle</au><au>Mazeh, Tsevi</au><au>Mowlavi, Nami</au><au>Nienartowicz, Krzysztof</au><au>Rimoldini, Lorenzo</au><au>Shahaf, Sahar</au><au>Eyer, Laurent</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Detection of Transiting Exoplanets by Gaia</atitle><jtitle>arXiv.org</jtitle><date>2022-05-20</date><risdate>2022</risdate><eissn>2331-8422</eissn><abstract>Context: The space telescope Gaia is dedicated mainly to performing high-precision astrometry, but also spectroscopy and epoch photometry which can be used to study various types of photometric variability. One such variability type is exoplanetary transits. The photometric data accumulated so far have finally matured enough to allow the detection of some exoplanets. Aims: In order to fully exploit the scientific potential of Gaia, we search its photometric data for the signatures of exoplanetary transits. Methods: The search relies on a version of the Box-Least-Square (BLS) method, applied to a set of stars prioritized by machine-learning classification methods. An independent photometric validation was obtained using the public full-frame images of TESS. In order to validate the first two candidates, radial-velocity follow-up observations were performed using the spectrograph PEPSI of the Large Binocular Telescope (LBT). Results: The radial-velocity measurements confirm that two of the candidates are indeed hot Jupiters. Thus, they are the first exoplanets detected by Gaia - Gaia-1b and Gaia-2b. Conclusions: Gaia-1b and Gaia-2b demonstrate that the approach presented in this paper is indeed effective. This approach will be used to assemble a set of additional exoplanet candidates, to be released in Gaia third data release, ensuring better fulfillment of the exoplanet detection potential of Gaia.</abstract><cop>Ithaca</cop><pub>Cornell University Library, arXiv.org</pub><doi>10.48550/arxiv.2205.10197</doi><oa>free_for_read</oa></addata></record> |
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subjects | Astrometry Data search Extrasolar planets Gas giant planets Machine learning Photometry Physics - Earth and Planetary Astrophysics Physics - Instrumentation and Methods for Astrophysics Planet detection Space telescopes Transit |
title | The Detection of Transiting Exoplanets by Gaia |
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