All Outputs (2)

The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks (2020)
Journal Article
Guiglion, G., Matijevič, G., Queiroz, A. B., Valentini, M., Steinmetz, M., Chiappini, C., …Siebert, A. (2020). The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks. Astronomy and Astrophysics, 644, Article A168. https://doi.org/10.1051/0004-6361/202038271

© ESO 2020. Context Data-driven methods play an increasingly important role in the field of astrophysics In the context of large spectroscopic surveys of stars, data-driven methods are key in deducing physical parameters for millions of spectra in a... Read More about The RAdial Velocity Experiment (RAVE): Parameterisation of RAVE spectra based on convolutional neural networks.

Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way (2020)
Journal Article
Brook, C. B., Kawata, D., Gibson, B. K., Gallart, C., & Vicente, A. (2020). Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way. Monthly notices of the Royal Astronomical Society, 495(3), 2645-2651. https://doi.org/10.1093/mnras/staa992

© 2020 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. The Milky Way underwent its last significant merger ten billion years ago, when the Gaia-Enceladus-Sausage (GES) was accreted. Accreted GES stars a... Read More about Explaining the chemical trajectories of accreted and in-situ halo stars of the Milky Way.