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

Autor: 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.

Publikováno v: A&A 666, A120 (2022)

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-defin

Externí odkaz: http://arxiv.org/abs/2208.05432

The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks

Autor: Guiglion, G., Matijevic, G., Queiroz, A. B. A., Valentini, M., Steinmetz, M., Chiappini, C., Grebel, E. K., McMillan, P. J., Kordopatis, G., Kunder, A., Zwitter, T., Khalatyan, A., Anders, F., Enke, H., Minchev, I., Monari, G., Wyse, R. F. G., Bienayme, O., Bland-Hawthorn, J., Gibson, B. K., Navarro, J. F., Parker, Q., Reid, W., Seabroke, G. M., Siebert, A.

Publikováno v: A&A 644, A168 (2020)

In the context of large spectroscopic surveys of stars, data-driven methods are key in deducing physical parameters for millions of spectra in a short time. Convolutional neural networks (CNNs) enable us to connect observables (e.g. spectra, stellar

Externí odkaz: http://arxiv.org/abs/2004.12666

Coma Berenices: first evidence for incomplete vertical phase-mixing in local velocity space with RAVE - confirmed with Gaia DR2

Autor: Monari, G., Famaey, B., Minchev, I., Antoja, T., Bienayme, O., Gibson, B. K., Grebel, E. K., Kordopatis, G., McMillan, P., Navarro, J., Parker, Q. A., Quillen, A. C., Reid, W., Seabroke, G., Siebert, A., Steinmetz, M., Wyse, R. F. G., Zwitter, T.

Before the publication of the Gaia DR2 we confirmed with RAVE and TGAS an observation recently made with the GALAH survey by Quillen ey al. concerning the Coma Berenices moving group in the Solar neighbourhood, namely that it is only present at negat

Externí odkaz: http://arxiv.org/abs/1804.07767

The GALAH survey: An abundance, age, and kinematic inventory of the solar neighbourhood made with TGAS

Autor: Buder, S., Lind, K., Ness, M. K., Asplund, M., Duong, L., Lin, J., Kos, J., Casagrande, L., Casey, A. R., Bland-Hawthorn, J., De Silva, G. M., D'Orazi, V., Freeman, K. C., Martell, S. L., Schlesinger, K. J., Sharma, S., Simpson, J. D., Zucker, D. B., Zwitter, T., Cotar, K., Dotter, A., Hayden, M. R., Hyde, E. A., Kafle, P. R., Lewis, G. F., Nataf, D. M., Nordlander, T., Reid, W., Rix, H. -W., Skuladottir, A., Stello, D., Ting, Y. -S., Traven, G., Wyse, R. F. G.

Publikováno v: A&A 624, A19 (2019)

The overlap between the spectroscopic Galactic Archaeology with HERMES (GALAH) survey & $Gaia$ provides a high-dimensional chemodynamical space of unprecedented size. We present a first analysis of a subset of this overlap, of 7066 dwarf, turn-off, &

Externí odkaz: http://arxiv.org/abs/1804.05869

Is the Milky Way still breathing? RAVE-Gaia streaming motions

Autor: Carrillo, I., Minchev, I., Kordopatis, G., Steinmetz, M., Binney, J., Anders, F., Bienaymé, O., Bland-Hawthorn, J., Famaey, B., Freeman, K. C., Gilmore, G., Gibson, B. K., Grebel, E. K., Helmi, A., Just, A., Kunder, A., McMillan, P., Monari, G., Munari, U., Navarro, J., Parker, Q. A., Reid, W., Seabroke, G., Sharma, S., Siebert, A., Watson, F., Wojno, J., Wyse, R. F. G., Zwitter, T.

We use data from the Radial Velocity Experiment (RAVE) and the Tycho-Gaia astrometric solution catalogue (TGAS) to compute the velocity fields yielded by the radial (VR), azimuthal (Vphi) and vertical (Vz) components of associated Galactocentric velo

Externí odkaz: http://arxiv.org/abs/1710.03763