Zobrazeno 1 - 10 of 150 pro vyhledávání: '"stellar content [Galaxy]"'
1
The Gaia-ESO Survey:Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning
Autor: S. Nepal, G. Guiglion, R. S. de Jong, M. Valentini, C. Chiappini, M. Steinmetz, M. Ambrosch, E. Pancino, R. D. Jeffries, T. Bensby, D. Romano, R. Smiljanic, M. L. L. Dantas, G. Gilmore, S. Randich, A. Bayo, M. Bergemann, E. Franciosini, F. Jiménez-Esteban, P. Jofré, L. Morbidelli, G. G. Sacco, G. Tautvaišienė, S. Zaggia
Publikováno v: Nepal, S, Guiglion, G, de Jong, R S, Valentini, M, Chiappini, C, Steinmetz, M, Ambrosch, M, Pancino, E, Jeffries, R D, Bensby, T, Romano, D, Smiljanic, R, Dantas, M L L, Gilmore, G, Randich, S, Bayo, A, Bergemann, M, Franciosini, E, Jimenez-Esteban, F, Jofre, P, Morbidelli, L, Sacco, G G, Tautvaisiene, G & Zaggia, S 2023, ' The Gaia-ESO Survey : Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning ', Astronomy & Astrophysics, vol. 671, A61 . https://doi.org/10.1051/0004-6361/202244765
With its origin coming from several sources (Big Bang, stars, cosmic rays) and given its strong depletion during its stellar lifetime, the lithium element is of great interest as its chemical evolution in the Milky Way is not well understood at prese
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69d8bc68c658389423c6c8fe650e829d
https://curis.ku.dk/ws/files/342498143/aa44765_22.pdf
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2
MEGADES: MEGARA galaxy disc evolution survey
Autor: Iglesias-Páramo, J., Jiménez Vicente, Jorge
The main interest of the science team for the exploitation of the MEGARA instrument at the 10.4m Gran Telescopio Canarias (GTC) is devoted to the study of nearby galaxies. The focus lies on researching the history of star formation, and the chemical
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______1648::eae0b45048a3df213799f605f1ffaac7
https://hdl.handle.net/10481/81635
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3
Stellar ages, masses, extinctions, and orbital parameters based on spectroscopic parameters of Gaia DR3
Autor: G. Kordopatis, M. Schultheis, P. J. McMillan, P. A. Palicio, P. de Laverny, A. Recio-Blanco, O. Creevey, M. A. Álvarez, R. Andrae, E. Poggio, E. Spitoni, G. Contursi, H. Zhao, I. Oreshina-Slezak, C. Ordenovic, A. Bijaoui
Gaia DR3 provides radial velocities for 33 million stars and spectroscopically derived atmospheric parameters for more than five million targets. When combined with the astrometric data, these allow us to derive orbital and stellar parameters that ar
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef75abca291e5259d95863ff31ae93b1
https://hdl.handle.net/2183/32817
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4
The Gaia-ESO Survey: Chemical evolution of Mg and Al in the Milky Way with Machine-Learning
Autor: M. Ambrosch, G. Guiglion, Š. Mikolaitis, C. Chiappini, G. Tautvaišienė, S. Nepal, G. Gilmore, S. Randich, T. Bensby, A. Bayo, M. Bergemann, L. Morbidelli, E. Pancino, G. G. Sacco, R. Smiljanic, S. Zaggia, P. Jofré, F. M. Jiménez-Esteban
Publikováno v: Ambrosch, M, Guiglion, G, Mikolaitis, S, Chiappini, C, Tautvaisiene, G, Nepal, S, Gilmore, G, Randich, S, Bensby, T, Bayo, A, Bergemann, M, Morbidelli, L, Pancino, E, Sacco, G G, Smiljanic, R, Zaggia, S, Jofre, P & Jimenez-Esteban, F M 2023, ' The Gaia-ESO Survey : Chemical evolution of Mg and Al in the Milky Way with machine learning ', Astronomy & Astrophysics, vol. 672, A46 . https://doi.org/10.1051/0004-6361/202244766
We aim to prepare the machine-learning ground for the next generation of spectroscopic surveys, such as 4MOST and WEAVE. Our goal is to show that convolutional neural networks can predict accurate stellar labels from relevant spectral features in a p
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17ab1108ab9975c5bbabb5f2eb1384e9
http://arxiv.org/abs/2208.08872
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5
Unveiling the past evolution of the progenitor of the Helmi streams
Autor: T. Ruiz-Lara, A. Helmi, C. Gallart, F. Surot, S. Cassisi
Publikováno v: Astronomy and astrophysics, 668. EDP Sciences
Aims. We aim to determine unique features that characterise the past evolution of the progenitor of the Helmi streams through the analysis of star formation histories (SFHs). Methods. From the 5D Gaia EDR3 dataset, we extracted local samples of stars
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18c63def044eaab92966de2772ceba89
http://arxiv.org/abs/2205.13810
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6
A population synthesis fitting of the Gaia resolved white dwarf binary population within 100 pc
Autor: S Torres, P Canals, F M Jiménez-Esteban, A Rebassa-Mansergas, E Solano
Publikováno v: Digital.CSIC. Repositorio Institucional del CSIC
instname
The $Gaia$ mission has provided an unprecedented wealth of information about the white dwarf population of our Galaxy. In particular, our studies show that the sample up to 100\,pc from the Sun can be considered as practically complete. This fact all
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfcaa071eade945fe3091f70c853f413
https://hdl.handle.net/2117/386066
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7
Post-AGB Stars as Tracers of AGB Nucleosynthesis: An Update
Autor: Devika Kamath, Hans Van Winckel
The chemical evolution of galaxies is governed by the chemical yields from stars, and here we focus on the important contributions from asymptotic giant branch (AGB) stars. AGB nucleosynthesis is, however, still riddled with complexities. Observation
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14819b9340644f2cdefc181c75d7482c
https://lirias.kuleuven.be/handle/20.500.12942/708485
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8
Modelling the Milky Way – I. Method and first results fitting the thick disc and halo with DES-Y3 data
Autor: Erin Sheldon, M. E. C. Swanson, Alex Drlica-Wagner, R. L. C. Ogando, Enrique Gaztanaga, Andrew B. Pace, L. Girardi, M. Carrasco Kind, David J. Brooks, E. Balbinot, G. Tarle, G. Gutierrez, K. Bechtol, Adriano Pieres, Jennifer L. Marshall, B. Flaugher, Vinu Vikram, Marcelle Soares-Santos, E. Suchyta, A. Carnero Rosell, Juan Garcia-Bellido, E. Bertin, A. A. Plazas, Tenglin Li, Santiago Avila, Daniel Thomas, I. Sevilla-Noarbe, M. dal Ponte, K. Honscheid, J. Gschwend, N. Kuropatkin, Flavia Sobreira, Ramon Miquel, L. N. da Costa, Martin Groenewegen, S. Desai, H. T. Diehl, D. L. Burke, David J. James, Basilio X. Santiago, A. R. Walker, Pablo Fosalba, E. J. Sanchez, Robert A. Gruendl, J. De Vicente, Adam Amara, Kyler Kuehn, Tim Eifler, M. Smith, Daniel Gruen, D. W. Gerdes, D. L. Hollowood, S. Serrano, J. Carretero, Josh Frieman, M. A. G. Maia
Publikováno v: DES Collaboration, Amara, A, Avila, S & Thomas, D 2020, ' Modelling the Milky Way-I. Method and first results fitting the thick disk and halo with DES-Y3 data ', Monthly Notices of the Royal Astronomical Society, vol. 497, no. 2, pp. 1547-1562 . https://doi.org/10.1093/mnras/staa1980
Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2020, 497 (2), pp.1547-1562. ⟨10.1093/mnras/staa1980⟩
Monthly Notices of the Royal Astronomical Society, 497(2), 1547-1562. Oxford University Press
Digital.CSIC. Repositorio Institucional del CSIC
instname
Full author list: A Pieres, L Girardi, E Balbinot, B Santiago, L N da Costa, A Carnero Rosell, A B Pace, K Bechtol, M A T Groenewegen, A Drlica-Wagner, T S Li, M A G Maia, R L C Ogando, M dal Ponte, H T Diehl, A Amara, S Avila, E Bertin, D Brooks, D
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::706b718f49cfaf382d99aa723f6bd377
https://doi.org/10.1093/mnras/staa1980
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9
Kinematics beats dust unveiling nested substructure in the perturbed outer disc of the Milky Way
Autor: Vasily Belokurov, Sergey E. Koposov, Chervin F. P. Laporte
Publikováno v: Laporte, C F P, Koposov, S E & Belokurov, V 2022, ' Kinematics beats dust unveiling nested substructure in the perturbed outer disc of the Milky Way ', Monthly Notices of the Royal Astronomical Society, vol. 510, no. 1, pp. L13-L17 . https://doi.org/10.1093/mnrasl/slab109
We use the Gaia eDR3 data and legacy spectroscopic surveys to map the Milky Way disc substructure towards the Galactic Anticentre at heliocentric distances d≥10kpc⁠. We report the discovery of multiple previously undetected new filaments embedded
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44a57cae8520feeb8fa70b8e567dbcbc
https://www.pure.ed.ac.uk/ws/files/222121739/mnras_template.pdf
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10
Photo-astrometric distances, extinctions, and astrophysical parameters for Gaia EDR3 stars brighter than G = 18.5
Autor: Anders, Friedrich, Santiago, Basilio Xavier, Steinmetz, M.
Publikováno v: Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS
We present a catalogue of 362 million stellar parameters, distances, and extinctions derived from Gaia’s Early Data Release (EDR3) cross-matched with the photometric catalogues of Pan-STARRS1, SkyMapper, 2MASS, and AllWISE. The higher precision of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3056::db7b5fc77538340899b5323455996d96
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