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Akademický článek

Pulsed sounds caused by internal oxygen transport during photosynthesis in the seagrass Halophila ovalis

Autor: Hin-Kiu Mok, Yen-Wei Chang, Michael L. Fine, Keryea Soong, Yu-Yun Chen, Richard G. Gilmore, Linus Yung-Sheng Chiu, Shi-Lin Hsu, Hai-Jin Chang

Publikováno v: PeerJ, Vol 12, p e18114 (2024)

Oxygen bubbles that leak from seagrass blades during photosynthesis have been hypothesized to cause cavitation sounds in aquatic plants. Here we investigate low-amplitude sounds with regular pulse rates produced during photosynthesis in seagrass beds

Externí odkaz: https://doaj.org/article/606a70525f0b4adea3f0b9da3adfa7ac

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The Gaia-ESO Survey: empirical estimates of stellar ages from lithium equivalent widths (eagles)

Publikováno v: Monthly Notices of the Royal Astronomical Society. 523:802-824

We present an empirical model of age-dependent photospheric lithium depletion, calibrated using a large, homogeneously-analysed sample of 6200 stars in 52 open clusters, with ages from 2--6000 Myr and $-0.3
Accepted for publication in Monthly No

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac8292f25723f2a5ef1f6270a822e87f
https://doi.org/10.1093/mnras/stad1293

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The Gaia-ESO Survey:Preparing the ground for 4MOST and WEAVE galactic surveys Chemical evolution of lithium with machine learning

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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Akademický článek

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Akademický článek

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
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The Gaia-ESO survey:Mapping the shape and evolution of the radial abundance gradients with open clusters

Publikováno v: Magrini, L, Vazquez, C V, Spina, L, Randich, S, Romano, D, Franciosini, E, Recio-Blanco, A, Nordlander, T, D'Orazi, V, Baratella, M, Smiljanic, R, Dantas, M L L, Pasquini, L, Spitoni, E, Casali, G, Van der Swaelmen, M, Bensby, T, Stonkute, E, Feltzing, S, Sacco, G G, Bragaglia, A, Pancino, E, Heiter, U, Biazzo, K, Gilmore, G, Bergemann, M, Tautvaisiene, G, Worley, C, Hourihane, A, Gonneau, A & Morbidelli, L 2023, ' The Gaia-ESO survey : Mapping the shape and evolution of the radial abundance gradients with open clusters ', Astronomy & Astrophysics, vol. 669, A119 . https://doi.org/10.1051/0004-6361/202244957

The spatial distribution of elemental abundances and their time evolution are among the major constraints to disentangle the scenarios of formation and evolution of the Galaxy. We used the sample of open clusters available in the final release of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::826253f77588e5690649934eba51d6ba
https://curis.ku.dk/ws/files/342497198/aa44957_22.pdf

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The Gaia-ESO Survey: Lithium measurements and new curves of growth

Publikováno v: Franciosini, E, Randich, S, de Laverny, P, Biazzo, K, Feuillet, D K, Frasca, A, Lind, K, Prisinzano, L, Tautvaisiene, G, Lanzafame, A C, Smiljanic, R, Gonneau, A, Magrini, L, Pancino, E, Guiglion, G, Sacco, G G, Sanna, N, Gilmore, G, Bonifacio, P, Jeffries, R D, Micela, G, Prusti, T, Alfaro, E J, Bensby, T, Bragaglia, A, Francois, P, Korn, A J, Van Eck, S, Bayo, A, Bergemann, M, Carraro, G, Heiter, U, Hourihane, A, Jofre, P, Lewis, J, Martayan, C, Monaco, L, Morbidelli, L, Worley, C C & Zaggia, S 2022, ' The Gaia-ESO Survey : Lithium measurements and new curves of growth ', Astronomy & Astrophysics, vol. 668, A49 . https://doi.org/10.1051/0004-6361/202244854
Astronomy and astrophysics, Paris : EDP Sciences, 2022, vol. 668, art. no. A49, p. [1-15]

This is an Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provid

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a6181599afb8fa0ea9092122c65dfd
http://arxiv.org/abs/2210.04721

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The Li-age relation: Calibration with open clusters and associations

Autor: M. L. Gutiérrez Albarrán, D. Montes, H. M. Tabernero, J. I. González Hernández, A. Frasca, A. C. Lanzafame, R. Smiljanic, A. J. Korn, S. Randich, G. Gilmore

In this work we used a series of open clusters and associations observed by the Gaia-ESO Survey (GES) to study the use of lithium abundances (Li I spectral line at 6708 Å) as an age indicator for pre- and main-sequence FGKM late-type stars. Previous

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::028e64843864d55591b1928272ca45ee

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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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