论文标题

GAIA-ESO公共光谱调查:动机,实施,长颈鹿数据处理,分析和最终数据产品

The Gaia-ESO Public Spectroscopic Survey: Motivation, implementation, GIRAFFE data processing, analysis, and final data products

论文作者

Gilmore, G., Randich, S., Worley, C. C., Hourihane, A., Gonneau, A., Sacco, G. G., Lewis, J. R., Magrini, L., Francois, P., Jeffries, R. D., Koposov, S. E., Bragaglia, A., Alfaro, E. J., Prieto, C. Allende, Blomme, R., Korn, A. J., Lanzafame, A. C., Pancino, E., Recio-Blanco, A., Smiljanic, R., Van Eck, S., Zwitter, T., Bensby, T., Flaccomio, E., Irwin, M. J., Franciosini, E., Morbidelli, L., Damiani, F., Bonito, R., Friel, E. D., Vink, J. S., Prisinzano, L., Abbas, U., Hatzidimitriou, D., Held, E. V., Jordi, C., Paunzen, E., Spagna, A., Jackson, R. J., Apellaniz, J. Maiz, Asplund, M., Bonifacio, P., Feltzing, S., Binney, J., Drew, J., Ferguson, A. M. N., Micela, G., Negueruela, I., Prusti, T., Rix, H. -W., Vallenari, A., Bergemann, M., Casey, A. R., de Laverny, P., Frasca, A., Hill, V., Lind, K., Sbordone, L., Sousa, S. G., Adibekyan, V., Caffau, E., Daflon, S., Feuillet, D. K., Gebran, M., Hernandez, J. I. Gonzalez, Guiglion, G., Herrero, A., Lobel, A., Merle, T., Mikolaitis, S., Montes, D., Morel, T., Ruchti, G., Soubiran, C., Tabernero, H. M., Tautvaisiene, G., Traven, G., Valentini, M., Van der Swaelmen, M., Villanova, S., Vazquez, C. Viscasillas, Bayo, A., Biazzo, K., Carraro, G., Edvardsson, B., Heiter, U., Jofre, P., Marconi, G., Martayan, C., Masseron, T., Monaco, L., Walton, N. A., Zaggia, S., Borsen-Koch, V. Aguirre, Alves, J., Balaguer-Nunez, L., Barklem, P. S., Barrado, D., Bellazzini, M., Berlanas, S. R., Binks, A. S., Bressan, A., Capuzzo-Dolcetta, R., Casagrande, L., Casamiquela, L., Collins, R. S., D'Orazi, V., Dantas, M. L. L., Debattista, V. P., Delgado-Mena, E., Di Marcantonio, P., Drazdauskas, A., Evans, N. W., Famaey, B., Franchini, M., Fremat, Y., Fu, X., Geisler, D., Gerhard, O., Solares, E. A. Gonzalez, Grebel, E. K., Albarran, M. L. Gutierrez, Jimenez-Esteban, F., Jonsson, H., Khachaturyants, T., Kordopatis, G., Kos, J., Lagarde, N., Ludwig, H. -G., Mahy, L., Mapelli, M., Marfil, E., Martell, S. L., Messina, S., Miglio, A., Minchev, I., Moitinho, A., Montalban, J., Monteiro, M. J. P. F. G., Morossi, C., Mowlavi, N., Mucciarelli, A., Murphy, D. N. A., Nardetto, N., Ortolani, S., Paletou, F., Palous, J., Pickering, J. C., Quirrenbach, A., Fiorentin, P. Re, Read, J. I., Romano, D., Ryde, N., Sanna, N., Santos, W., Seabroke, G. M., Spina, L., Steinmetz, M., Stonkute, E., Sutorius, E., Thevenin, F., Tosi, M., Tsantaki, M., Wright, N., Wyse, R. F. G., Zoccali, M., Zorec, J., Zucker, D. B.

论文摘要

Gaia-Eso公共光谱调查是一个雄心勃勃的项目,旨在获得100,000颗恒星的天体物理参数和元素丰度,包括银河系中恒星种群的大型代表样品,以及一个明确定义的60个(加上20个档案库)。我们提供了在基准恒星和恒星簇上校准的内部一致结果,并延伸到非常广泛的丰度和年龄范围内。这提供了一个固有值的旧数据集,并且同样大的广泛数据集,该数据集对于其他和未来的恒星调查以及盖亚的天体物理参数具有价值。本文概述了调查方法,科学目的和实施,包括对长颈鹿光谱的数据处理的描述。同伴论文(Arxiv:2206.02901)引入了调查结果。 Gaia-Eso渴望量化对测量不确定性的随机和系统贡献。因此,使用了所有可用的光谱分析技术,每种光谱都通过多达几种不同的分析管道进行分析,并进行了相当大的努力来均匀化和校准所得参数。我们在这里描述了一系列活动,直到将处理后的数据产品传递到ESO Science档案设施以进行开放使用。 Gaia-Eso调查在2011年12月至2018年1月从长颈鹿和乌维斯(Giraffe and Uves)之间分配了340个VLT夜晚,获得了202,000个115,000星的光谱。全部始终减少的最终数据集的光谱集通过2020年底通过ESO Science档案设施发布,随后设定了整个天体物理参数。

The Gaia-ESO Public Spectroscopic Survey is an ambitious project designed to obtain astrophysical parameters and elemental abundances for 100,000 stars, including large representative samples of the stellar populations in the Galaxy, and a well-defined sample of 60 (plus 20 archive) open clusters. We provide internally consistent results calibrated on benchmark stars and star clusters, extending across a very wide range of abundances and ages. This provides a legacy data set of intrinsic value, and equally a large wide-ranging dataset that is of value for homogenisation of other and future stellar surveys and Gaia's astrophysical parameters. This article provides an overview of the survey methodology, the scientific aims, and the implementation, including a description of the data processing for the GIRAFFE spectra. A companion paper (arXiv:2206.02901) introduces the survey results. Gaia-ESO aspires to quantify both random and systematic contributions to measurement uncertainties. Thus all available spectroscopic analysis techniques are utilised, each spectrum being analysed by up to several different analysis pipelines, with considerable effort being made to homogenise and calibrate the resulting parameters. We describe here the sequence of activities up to delivery of processed data products to the ESO Science Archive Facility for open use. The Gaia-ESO Survey obtained 202,000 spectra of 115,000 stars using 340 allocated VLT nights between December 2011 and January 2018 from GIRAFFE and UVES. The full consistently reduced final data set of spectra was released through the ESO Science Archive Facility in late 2020, with the full astrophysical parameters sets following in 2022.

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