Chemical signatures of planets in the spectrum of solar twins
| Ano de defesa: | 2025 |
|---|---|
| Autor(a) principal: | |
| Orientador(a): | |
| Banca de defesa: | |
| Tipo de documento: | Dissertação |
| Tipo de acesso: | Acesso aberto |
| Idioma: | eng |
| Instituição de defesa: |
Biblioteca Digitais de Teses e Dissertações da USP
|
| Programa de Pós-Graduação: |
Não Informado pela instituição
|
| Departamento: |
Não Informado pela instituição
|
| País: |
Não Informado pela instituição
|
| Palavras-chave em Português: | |
| Link de acesso: | https://www.teses.usp.br/teses/disponiveis/14/14131/tde-20022025-103242/ |
Resumo: | Precise chemical abundances are key for the characterization of planet hosts, since the formation and the presence of planets around the stars can alter their chemical composition, creating fingerprints that are revealed through a detailed analysis of the spectrum. In this work, a Machine Learning algorithm was developed to obtain the atmospheric parameters and chemical abundances of 20 elements for a sample of 99 solar twins automatically from their high quality spectra obtained with the HARPS spectrograph, installed at the 3.6 meters telescope at the La Silla Observatory from ESO. The results obtained are in line with the literature, with average differences and standard deviations of (2 ± 27) K for Teff , (0.00 ± 0.06) dex for log g, (0.00 ± 0.02) dex for [Fe/H], (0.01 ± 0.05) km/s for micro turbulence velocity, (0.02 ± 0.08) km/s for macro turbulence velocity and (0.12 ± 0.26) km/s for projected rotational velocity. Regarding the chemical abundances, we reached a precision of 0.01 dex for the elements Na, Mg, Al, Si, Ca, Ti, Cr, Co, Ni e Cu, and most of the other elements agree within 0.01 and 0.02 dex with the literature. The abundances were corrected from the effects of the Galactic Chemical Evolution through a fitting versus the age of the stars and analyzed with the condensation temperature to verify if the stars presented depletion of refractories compared to volatiles. It was found that the Sun is more depleted in refractories than 89% of the twins, with a significance of 9.5 sigma when compared to the stars without planets and 4.3 sigma when compared to the stars with planets. We also identified a possible presence of three stellar subpopulations: one Cu-rich, one Cu-poor and the other is slightly older (age > 6 Gyr) and Na-poor. Possible origins of these groups are the migration of the stars from the central parts of the galactic disk and the initial chemical composition of their birth place. |
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Chemical signatures of planets in the spectrum of solar twinsAssinaturas químicas de planetas no espectro de estrelas gêmeas solaresAbundâncias químicasChemical abundancesEspectroscopia de precisãoExoplanetasExoplanetsGêmeas solaresNeural networksPrecision spectroscopyRedes neuraisSolar twinsPrecise chemical abundances are key for the characterization of planet hosts, since the formation and the presence of planets around the stars can alter their chemical composition, creating fingerprints that are revealed through a detailed analysis of the spectrum. In this work, a Machine Learning algorithm was developed to obtain the atmospheric parameters and chemical abundances of 20 elements for a sample of 99 solar twins automatically from their high quality spectra obtained with the HARPS spectrograph, installed at the 3.6 meters telescope at the La Silla Observatory from ESO. The results obtained are in line with the literature, with average differences and standard deviations of (2 ± 27) K for Teff , (0.00 ± 0.06) dex for log g, (0.00 ± 0.02) dex for [Fe/H], (0.01 ± 0.05) km/s for micro turbulence velocity, (0.02 ± 0.08) km/s for macro turbulence velocity and (0.12 ± 0.26) km/s for projected rotational velocity. Regarding the chemical abundances, we reached a precision of 0.01 dex for the elements Na, Mg, Al, Si, Ca, Ti, Cr, Co, Ni e Cu, and most of the other elements agree within 0.01 and 0.02 dex with the literature. The abundances were corrected from the effects of the Galactic Chemical Evolution through a fitting versus the age of the stars and analyzed with the condensation temperature to verify if the stars presented depletion of refractories compared to volatiles. It was found that the Sun is more depleted in refractories than 89% of the twins, with a significance of 9.5 sigma when compared to the stars without planets and 4.3 sigma when compared to the stars with planets. We also identified a possible presence of three stellar subpopulations: one Cu-rich, one Cu-poor and the other is slightly older (age > 6 Gyr) and Na-poor. Possible origins of these groups are the migration of the stars from the central parts of the galactic disk and the initial chemical composition of their birth place.Abundâncias qumicas precisas são fundamentais para a caracterização de estrelas hospedeiras de planetas, uma vez que a formação e presença de planetas pode alterar a composição qumica estelar, criando assinaturas que são reveladas apenas a partir de uma análise minuciosa do espectro. Nesse trabalho, um algoritmo de aprendizado de máquina foi desenvolvido para obter automaticamente os parâmetros atmosféricos e as abundâncias qumicas de 20 elementos para uma amostra de 99 estrelas gêmeas solares utilizando espectros de alta qualidade obtidos com o espectrógrafo HARPS instalado no telescópio de 3.6 metros do observatório La Silla do ESO. Os resultados obtidos estão de acordo com a literatura, com diferenças médias e desvio-padrão de (2 ± 27) K para Teff , (0.00 ± 0.06) dex para log g, (0.00 ± 0.02) dex para [Fe/H], (0.01 ± 0.05) km/s para velocidade de micro turbulência, (0.02 ± 0.08) km/s para velocidade de macro turbulência e (0.12 ± 0.26) km/s para a velocidade de rotação projetada. Para as abundâncias qumicas, atingimos uma precisão de 0.01 dex para os elementos Na, Mg, Al, Si, Ca, Ti, Cr, Co, Ni e Cu, e a maioria dos elementos restantes está entre 0.01 e 0.02 dex. As abundâncias foram corrigidas dos efeitos da Evolução Qumica da Galáxia por meio de um ajuste com a idade das estrelas e analisadas com a temperatura de condensação para verificar se as estrelas são depletadas em refratários em comparação com os voláteis. Foi encontrado que o Sol apresenta mais depleção de refratários do que 89% das gêmeas, com uma significância de 9.5 sigma quando comparado com as estrelas sem planetas e 4.3 sigma quando comparado com as estrelas com planetas. Identificamos a possvel presença de três subpopulações estelares: uma mais rica em Cu, uma mais pobre em Cu e outra ligeiramente mais velha (idade > 6 Ganos) e pobre em Na. Possveis origens desses grupos são a migração das estrelas do centro do disco galáctico e a composição qumica do meio onde elas foram formadas.Biblioteca Digitais de Teses e Dissertações da USPMoreno, Jorge Luis MelendezMartos, Giulia2025-02-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://www.teses.usp.br/teses/disponiveis/14/14131/tde-20022025-103242/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2025-02-20T18:20:02Zoai:teses.usp.br:tde-20022025-103242Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212025-02-20T18:20:02Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false |
| dc.title.none.fl_str_mv |
Chemical signatures of planets in the spectrum of solar twins Assinaturas químicas de planetas no espectro de estrelas gêmeas solares |
| title |
Chemical signatures of planets in the spectrum of solar twins |
| spellingShingle |
Chemical signatures of planets in the spectrum of solar twins Martos, Giulia Abundâncias químicas Chemical abundances Espectroscopia de precisão Exoplanetas Exoplanets Gêmeas solares Neural networks Precision spectroscopy Redes neurais Solar twins |
| title_short |
Chemical signatures of planets in the spectrum of solar twins |
| title_full |
Chemical signatures of planets in the spectrum of solar twins |
| title_fullStr |
Chemical signatures of planets in the spectrum of solar twins |
| title_full_unstemmed |
Chemical signatures of planets in the spectrum of solar twins |
| title_sort |
Chemical signatures of planets in the spectrum of solar twins |
| author |
Martos, Giulia |
| author_facet |
Martos, Giulia |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Moreno, Jorge Luis Melendez |
| dc.contributor.author.fl_str_mv |
Martos, Giulia |
| dc.subject.por.fl_str_mv |
Abundâncias químicas Chemical abundances Espectroscopia de precisão Exoplanetas Exoplanets Gêmeas solares Neural networks Precision spectroscopy Redes neurais Solar twins |
| topic |
Abundâncias químicas Chemical abundances Espectroscopia de precisão Exoplanetas Exoplanets Gêmeas solares Neural networks Precision spectroscopy Redes neurais Solar twins |
| description |
Precise chemical abundances are key for the characterization of planet hosts, since the formation and the presence of planets around the stars can alter their chemical composition, creating fingerprints that are revealed through a detailed analysis of the spectrum. In this work, a Machine Learning algorithm was developed to obtain the atmospheric parameters and chemical abundances of 20 elements for a sample of 99 solar twins automatically from their high quality spectra obtained with the HARPS spectrograph, installed at the 3.6 meters telescope at the La Silla Observatory from ESO. The results obtained are in line with the literature, with average differences and standard deviations of (2 ± 27) K for Teff , (0.00 ± 0.06) dex for log g, (0.00 ± 0.02) dex for [Fe/H], (0.01 ± 0.05) km/s for micro turbulence velocity, (0.02 ± 0.08) km/s for macro turbulence velocity and (0.12 ± 0.26) km/s for projected rotational velocity. Regarding the chemical abundances, we reached a precision of 0.01 dex for the elements Na, Mg, Al, Si, Ca, Ti, Cr, Co, Ni e Cu, and most of the other elements agree within 0.01 and 0.02 dex with the literature. The abundances were corrected from the effects of the Galactic Chemical Evolution through a fitting versus the age of the stars and analyzed with the condensation temperature to verify if the stars presented depletion of refractories compared to volatiles. It was found that the Sun is more depleted in refractories than 89% of the twins, with a significance of 9.5 sigma when compared to the stars without planets and 4.3 sigma when compared to the stars with planets. We also identified a possible presence of three stellar subpopulations: one Cu-rich, one Cu-poor and the other is slightly older (age > 6 Gyr) and Na-poor. Possible origins of these groups are the migration of the stars from the central parts of the galactic disk and the initial chemical composition of their birth place. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025-02-04 |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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https://www.teses.usp.br/teses/disponiveis/14/14131/tde-20022025-103242/ |
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https://www.teses.usp.br/teses/disponiveis/14/14131/tde-20022025-103242/ |
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eng |
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eng |
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|
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Liberar o conteúdo para acesso público. info:eu-repo/semantics/openAccess |
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Liberar o conteúdo para acesso público. |
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openAccess |
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application/pdf |
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Biblioteca Digitais de Teses e Dissertações da USP |
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Biblioteca Digitais de Teses e Dissertações da USP |
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reponame:Biblioteca Digital de Teses e Dissertações da USP instname:Universidade de São Paulo (USP) instacron:USP |
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Universidade de São Paulo (USP) |
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USP |
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Biblioteca Digital de Teses e Dissertações da USP |
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Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP) |
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virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br |
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