Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:
Departamento Gestión de Conocimiento, Monitoreo y Prospección
Consultas o comentarios: productividad@anid.cl
Consultas o comentarios: productividad@anid.cl
The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with machine learning
| Indexado |
|
||||
| DOI | 10.1051/0004-6361/202244766 | ||||
| Año | 2023 | ||||
| Tipo | artículo de investigación |
Citas Totales
Autores Afiliación Chile
Instituciones Chile
% Participación
Internacional
Autores
Afiliación Extranjera
Instituciones
Extranjeras
Abstract
Conclusions. Such a study provides very good insights into the application of machine learning for the analysis of large-scale spectroscopic surveys, such as WEAVE and 4MOST Milky Way disk and bulge low- and high-resolution (4MIDABLE-LR and -HR). The community will have to put substantial efforts into building proactive training sets for machine learning methods to minimize any possible systematics.
| Ord. | Autor | Género | Institución - País |
|---|---|---|---|
| 1 | Ambrosch, M. | - |
Vilnius Univ - Lituania
Teorinės Fizikos ir Astronomijos Institutas - Lituania |
| 2 | Guiglion, Guillaume | Hombre |
Max Planck Inst Astron - Alemania
Leibniz Inst Astrophys Potsdam AIP - Alemania Max Planck Institute for Astronomy - Alemania Leibniz Institute for Astrophysics Potsdam - Alemania |
| 3 | Mikolaitis, S. | - |
Vilnius Univ - Lituania
Teorinės Fizikos ir Astronomijos Institutas - Lituania |
| 4 | Chiappini, Cristina | Mujer |
Leibniz Inst Astrophys Potsdam AIP - Alemania
Leibniz Institute for Astrophysics Potsdam - Alemania |
| 5 | Tautvaisiene, G. | - |
Vilnius Univ - Lituania
Teorinės Fizikos ir Astronomijos Institutas - Lituania |
| 6 | Nepal, S. | - |
Leibniz Inst Astrophys Potsdam AIP - Alemania
Univ Potsdam - Alemania Leibniz Institute for Astrophysics Potsdam - Alemania Universität Potsdam - Alemania |
| 7 | Gilmore, G. | Hombre |
UNIV CAMBRIDGE - Reino Unido
Institute of Astronomy - Reino Unido |
| 8 | Randich, S. | Mujer |
Istituto Nazionale di Astrofisica - Italia
Osservatorio Astrofisico Di Arcetri - Italia INAF Osservatorio Astrofis Arcetri - Italia |
| 9 | Bensby, Thomas | Hombre |
Lund Univ - Suecia
Lund Observatory - Suecia |
| 10 | Bayos, Amelia | Mujer |
ESO - Alemania
Universidad de Valparaíso - Chile Observatorio Europeo Austral - Alemania European Southern Observ - Alemania |
| 11 | Bergemann, Martin | Hombre |
Max Planck Inst Astron - Alemania
Univ Copenhagen - Dinamarca Max Planck Institute for Astronomy - Alemania Niels Bohr Institutet - Dinamarca |
| 12 | Morbidelli, L. | Hombre |
Istituto Nazionale di Astrofisica - Italia
Osservatorio Astrofisico Di Arcetri - Italia INAF Osservatorio Astrofis Arcetri - Italia |
| 13 | Pancino, E. | Mujer |
Istituto Nazionale di Astrofisica - Italia
Osservatorio Astrofisico Di Arcetri - Italia INAF Osservatorio Astrofis Arcetri - Italia |
| 14 | Sacco, G. | Hombre |
Istituto Nazionale di Astrofisica - Italia
Osservatorio Astrofisico Di Arcetri - Italia INAF Osservatorio Astrofis Arcetri - Italia |
| 15 | Smiljanic, Rodolfo | Hombre |
Polish Acad Sci - Polonia
Nicolaus Copernicus Astronomical Center of the Polish Academy of Sciences - Polonia |
| 16 | Zaggia, Simone | Mujer |
Istituto Nazionale di Astrofisica - Italia
Istituto Nazionale Di Astrofisica, Rome - Italia INAF Padova Observ - Italia |
| 17 | JOFRE-PFEIL, PAULA | Mujer |
Universidad Diego Portales - Chile
|
| 18 | Jimenez-Esteban, F. M. | Hombre |
Ctr Astrobiol CSIC INTA - España
Centro de Astrobiología (CSIC-INTA) - España CSIC-INTA - Centro de Astrobiología (CAB) - España |
| Fuente |
|---|
| National Science Foundation |
| COST Action |
| Deutsche Forschungsgemeinschaft |
| European Science foundation |
| European Research Council |
| Swedish Research Council |
| ERC |
| UK Science and Technology Facilities Council |
| Science and Technology Facilities Council |
| National Aeronautics and Space Administration |
| Seventh Framework Programme |
| INAF |
| Max Planck Society |
| Max-Planck-Gesellschaft |
| COST (European Cooperation in Science and Technology) |
| European Cooperation in Science and Technology |
| Ministero dell’Istruzione, dell’Università e della Ricerca |
| Leverhulme Trust |
| European Research Council (ERC) |
| Vetenskapsradet |
| Horizon 2020 Framework Programme |
| Istituto Nazionale di Astrofisica |
| Ministero dell' Istruzione, dell' Universita' e della Ricerca (MIUR) |
| Gaia Multilateral Agreement |
| Gaia-ESO Survey Data Archive |
| Heidelberg University, of the Deutsche Forschungsgemeinschaft |
| Heidelberg University, of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) |
| (ESF (European Science Foundation) through the GREAT Research Network Program) |
| European Union’s Horizon 2020 research and innovation program |
| Agradecimiento |
|---|
| We thank the anonymous referee for comments and suggestions, which helped to improve this Paper. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell' Istruzione, dell' Universita' e della Ricerca (MIUR) in the form of the grant "Premiale VLT 2012". The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Program). This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This article is based upon work from COST Action CA16117, supported by COST (European Cooperation in Science and Technology). T.B. was supported by grant No. 2018-04857 from the Swedish Research Council. M.B. is supported through the Lise Meitner grant from the Max Planck Society. We acknowledge support by the Collaborative Research center SFB 881 (projects A5, A10), Heidelberg University, of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant agreement No. 949173). |
| We thank the anonymous referee for comments and suggestions, which helped to improve this Paper. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell’ Istruzione, dell’ Università’ e della Ricerca (MIUR) in the form of the grant “Premiale VLT 2012”. The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Program). This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This article is based upon work from COST Action CA16117, supported by COST (European Cooperation in Science and Technology). T.B. was supported by grant No. 2018-04857 from the Swedish Research Council. M.B. is supported through the Lise Meitner grant from the Max Planck Society. We acknowledge support by the Collaborative Research center SFB 881 (projects A5, A10), Heidelberg University, of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 949173). |
| We thank the anonymous referee for comments and suggestions, which helped to improve this Paper. These data products have been processed by the Cambridge Astronomy Survey Unit (CASU) at the Institute of Astronomy, University of Cambridge, and by the FLAMES/UVES reduction team at INAF/Osservatorio Astrofisico di Arcetri. These data have been obtained from the Gaia-ESO Survey Data Archive, prepared and hosted by the Wide Field Astronomy Unit, Institute for Astronomy, University of Edinburgh, which is funded by the UK Science and Technology Facilities Council. This work was partly supported by the European Union FP7 programme through ERC grant number 320360 and by the Leverhulme Trust through grant RPG-2012-541. We acknowledge the support from INAF and Ministero dell’ Istruzione, dell’ Università’ e della Ricerca (MIUR) in the form of the grant “Premiale VLT 2012”. The results presented here benefit from discussions held during the Gaia-ESO workshops and conferences supported by the ESF (European Science Foundation) through the GREAT Research Network Program). This work has made use of data from the European Space Agency (ESA) mission Gaia ( https://www.cosmos.esa.int/gaia ), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium ). Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. This publication makes use of data products from the Two Micron All Sky Survey, which is a joint project of the University of Massachusetts and the Infrared Processing and Analysis Center/California Institute of Technology, funded by the National Aeronautics and Space Administration and the National Science Foundation. This article is based upon work from COST Action CA16117, supported by COST (European Cooperation in Science and Technology). T.B. was supported by grant No. 2018-04857 from the Swedish Research Council. M.B. is supported through the Lise Meitner grant from the Max Planck Society. We acknowledge support by the Collaborative Research center SFB 881 (projects A5, A10), Heidelberg University, of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Grant agreement No. 949173). |
