Optimized cutting off transit algorithm to study stellar rotation from PLATO mission light curves

Detalhes bibliográficos
Autor(a) principal: Costa, Jefferson Soares da
Data de Publicação: 2020
Outros Autores: Almeida, Leandro de, Anthony, Francys, Mattiuci, Ana Carolina, Castro, Matthieu, Samadi, Reza, Nascimento Júnior, José Dias do
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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spelling 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
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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
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10.1007/s10686-020-09664-x
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