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., 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., Bienaymé, O., Bland-Hawthorn, J., Gibson, B. K., …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.