Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/30981 |
Resumo: | Measuring the stellar rotation of one of the components in eclipsing binaries (EBs) or planetary systems is a challenge task. The difficulty is mainly due to the complexity of analyzing, in the same light curve, the signal from the stellar rotation mixed with the transit signal of a stellar or substellar companion, like a brown dwarf or planet. There are many methods to correct the long-term trend of the light curve. However, the correction often erases the signal of the stellar rotation from spots crossing the visible stellar disk and other weaker signals like planets. In this work, we present the DiffeRencial flUx Method of cuTting Off biNariES (DRUM TONES) to identify the signal of the binary transits and disentangle it from stellar rotation planet signals. We present our technique with applications to EBs from CoRoT, Kepler, Kepler K2 and TESS missions. We also applied our method to simulated synthetic EB from the PLATO mission. Our method shows good agreement in the determination of stellar rotation periods for few observed targets from last space missions, as well it is naturally useful for future European mission, such as PLAnetary Transits and Oscillations of stars (PLATO) |
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Costa, Jefferson Soares daAlmeida, Leandro deAnthony, FrancysMattiuci, Ana CarolinaCastro, MatthieuSamadi, RezaNascimento Júnior, José Dias do2020-12-14T21:33:00Z2020-12-14T21:33:00Z2020-06-16ALMEIDA, Leandro de; ANTHONY, Francys; MATTIUCI, Ana Carolina; CASTRO, Matthieu; COSTA, Jefferson Soares da; SAMADI, Réza; NASCIMENTO, José Dias do. Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves. Experimental Astronomy, [S.L.], v. 50, n. 1, p. 73-90, 16 jun. 2020. Disponível em: https://link.springer.com/article/10.1007/s10686-020-09664-x. Acesso em: 07 out. 2020. http://dx.doi.org/10.1007/s10686-020-09664-x.0922-64351572-9508https://repositorio.ufrn.br/handle/123456789/3098110.1007/s10686-020-09664-xSpringerAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessEclipsing binariesData analysisStellar rotationOptimized cutting off transit algorithm to study stellar rotation from PLATO mission light curvesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleMeasuring the stellar rotation of one of the components in eclipsing binaries (EBs) or planetary systems is a challenge task. The difficulty is mainly due to the complexity of analyzing, in the same light curve, the signal from the stellar rotation mixed with the transit signal of a stellar or substellar companion, like a brown dwarf or planet. There are many methods to correct the long-term trend of the light curve. However, the correction often erases the signal of the stellar rotation from spots crossing the visible stellar disk and other weaker signals like planets. In this work, we present the DiffeRencial flUx Method of cuTting Off biNariES (DRUM TONES) to identify the signal of the binary transits and disentangle it from stellar rotation planet signals. We present our technique with applications to EBs from CoRoT, Kepler, Kepler K2 and TESS missions. We also applied our method to simulated synthetic EB from the PLATO mission. Our method shows good agreement in the determination of stellar rotation periods for few observed targets from last space missions, as well it is naturally useful for future European mission, such as PLAnetary Transits and Oscillations of stars (PLATO)engreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALOptimizedCuttingOff_COSTA_2020.pdfOptimizedCuttingOff_COSTA_2020.pdfapplication/pdf1982466https://repositorio.ufrn.br/bitstream/123456789/30981/1/OptimizedCuttingOff_COSTA_2020.pdfc5ec7595449fd0b0c2e7f5f275e25e60MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30981/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30981/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTOptimizedCuttingOff_COSTA_2020.pdf.txtOptimizedCuttingOff_COSTA_2020.pdf.txtExtracted texttext/plain51752https://repositorio.ufrn.br/bitstream/123456789/30981/4/OptimizedCuttingOff_COSTA_2020.pdf.txtcc3687c617499a8db56aef558e0de982MD54THUMBNAILOptimizedCuttingOff_COSTA_2020.pdf.jpgOptimizedCuttingOff_COSTA_2020.pdf.jpgGenerated Thumbnailimage/jpeg1524https://repositorio.ufrn.br/bitstream/123456789/30981/5/OptimizedCuttingOff_COSTA_2020.pdf.jpg75cda8cfebc53c2acb68111eb316fc0bMD55123456789/309812020-12-20 04:59:39.714oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-20T07:59:39Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
title |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
spellingShingle |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves Costa, Jefferson Soares da Eclipsing binaries Data analysis Stellar rotation |
title_short |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
title_full |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
title_fullStr |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
title_full_unstemmed |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
title_sort |
Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves |
author |
Costa, Jefferson Soares da |
author_facet |
Costa, Jefferson Soares da Almeida, Leandro de Anthony, Francys Mattiuci, Ana Carolina Castro, Matthieu Samadi, Reza Nascimento Júnior, José Dias do |
author_role |
author |
author2 |
Almeida, Leandro de Anthony, Francys Mattiuci, Ana Carolina Castro, Matthieu Samadi, Reza Nascimento Júnior, José Dias do |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Costa, Jefferson Soares da Almeida, Leandro de Anthony, Francys Mattiuci, Ana Carolina Castro, Matthieu Samadi, Reza Nascimento Júnior, José Dias do |
dc.subject.por.fl_str_mv |
Eclipsing binaries Data analysis Stellar rotation |
topic |
Eclipsing binaries Data analysis Stellar rotation |
description |
Measuring the stellar rotation of one of the components in eclipsing binaries (EBs) or planetary systems is a challenge task. The difficulty is mainly due to the complexity of analyzing, in the same light curve, the signal from the stellar rotation mixed with the transit signal of a stellar or substellar companion, like a brown dwarf or planet. There are many methods to correct the long-term trend of the light curve. However, the correction often erases the signal of the stellar rotation from spots crossing the visible stellar disk and other weaker signals like planets. In this work, we present the DiffeRencial flUx Method of cuTting Off biNariES (DRUM TONES) to identify the signal of the binary transits and disentangle it from stellar rotation planet signals. We present our technique with applications to EBs from CoRoT, Kepler, Kepler K2 and TESS missions. We also applied our method to simulated synthetic EB from the PLATO mission. Our method shows good agreement in the determination of stellar rotation periods for few observed targets from last space missions, as well it is naturally useful for future European mission, such as PLAnetary Transits and Oscillations of stars (PLATO) |
publishDate |
2020 |
dc.date.accessioned.fl_str_mv |
2020-12-14T21:33:00Z |
dc.date.available.fl_str_mv |
2020-12-14T21:33:00Z |
dc.date.issued.fl_str_mv |
2020-06-16 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
ALMEIDA, Leandro de; ANTHONY, Francys; MATTIUCI, Ana Carolina; CASTRO, Matthieu; COSTA, Jefferson Soares da; SAMADI, Réza; NASCIMENTO, José Dias do. Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves. Experimental Astronomy, [S.L.], v. 50, n. 1, p. 73-90, 16 jun. 2020. Disponível em: https://link.springer.com/article/10.1007/s10686-020-09664-x. Acesso em: 07 out. 2020. http://dx.doi.org/10.1007/s10686-020-09664-x. |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/30981 |
dc.identifier.issn.none.fl_str_mv |
0922-6435 1572-9508 |
dc.identifier.doi.none.fl_str_mv |
10.1007/s10686-020-09664-x |
identifier_str_mv |
ALMEIDA, Leandro de; ANTHONY, Francys; MATTIUCI, Ana Carolina; CASTRO, Matthieu; COSTA, Jefferson Soares da; SAMADI, Réza; NASCIMENTO, José Dias do. Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves. Experimental Astronomy, [S.L.], v. 50, n. 1, p. 73-90, 16 jun. 2020. Disponível em: https://link.springer.com/article/10.1007/s10686-020-09664-x. Acesso em: 07 out. 2020. http://dx.doi.org/10.1007/s10686-020-09664-x. 0922-6435 1572-9508 10.1007/s10686-020-09664-x |
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https://repositorio.ufrn.br/handle/123456789/30981 |
dc.language.iso.fl_str_mv |
eng |
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eng |
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Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
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Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
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openAccess |
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Springer |
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Springer |
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