Free Access
Issue |
A&A
Volume 658, February 2022
|
|
---|---|---|
Article Number | A51 | |
Number of page(s) | 9 | |
Section | Galactic structure, stellar clusters and populations | |
DOI | https://doi.org/10.1051/0004-6361/202142169 | |
Published online | 01 February 2022 |
- Barmby, P., Huchra, J. P., Brodie, J. P., et al. 2000, AJ, 119, 727 [NASA ADS] [CrossRef] [Google Scholar]
- Bialopetravičius, J., & Narbutis, D. 2020, AJ, 160, 264 [CrossRef] [Google Scholar]
- Bialopetravičius, J., Narbutis, D., & Vansevičius, V. 2019, A&A, 621, A103 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Boulade, O., Charlot, X., Abbon, P., et al. 2003, Proc. SPIE, 4841, 72 [NASA ADS] [CrossRef] [Google Scholar]
- Boureau, Y. L., Bach, F., LeCun, Y., & Ponce, J. 2010, in 2010 IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, CA, 2559 [CrossRef] [Google Scholar]
- Caldwell, N., & Romanowsky, A. J. 2016, ApJ, 824, 42 [NASA ADS] [CrossRef] [Google Scholar]
- Caldwell, N., Harding, P., Morrison, H., et al. 2009, AJ, 137, 94 [NASA ADS] [CrossRef] [Google Scholar]
- Caldwell, N., Schiavon, R., Morrison, H., Rose, J. A., & Harding, P. 2011, AJ, 141, 61 [NASA ADS] [CrossRef] [Google Scholar]
- Calzetti, D., Lee, J. C., Sabbi, E., et al. 2015, AJ, 149, 51 [Google Scholar]
- Chen, B.-Q., Liu, X.-W., Xiang, M.-S., et al. 2015, Res. Astron. Astrophys., 15, 1392 [CrossRef] [Google Scholar]
- Cui, X.-Q., Zhao, Y.-H., Chu, Y.-Q., et al. 2012, Res. Astron. Astrophys., 12, 1197 [Google Scholar]
- Dalcanton, J. J., Williams, B. F., Lang, D., et al. 2012, ApJS, 200, 18 [Google Scholar]
- de Jong, J. T. A., Verdoes Kleijn, G. A., Erben, T., et al. 2017, A&A, 604, A134 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- di Tullio Zinn, G., & Zinn, R. 2013, AJ, 145, 50 [NASA ADS] [CrossRef] [Google Scholar]
- Fukushima, K. 1980, Biol. Cybern., 36, 193 [CrossRef] [PubMed] [Google Scholar]
- Gaia Collaboration (Brown, A. G. A., et al.) 2018, A&A, 616, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Galleti, S., Federici, L., Bellazzini, M., et al. 2004, A&A, 416, 917 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Galleti, S., Bellazzini, M., Federici, L., et al. 2007, A&A, 471, 127 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- He, Z., Er, X., Long, Q., et al. 2020, MNRAS, 497, 556 [NASA ADS] [CrossRef] [Google Scholar]
- Hodge, P., Krienke, O. K., Bianchi, L., et al. 2010, PASP, 122, 745 [NASA ADS] [CrossRef] [Google Scholar]
- Huxor, A., Tanvir, N. R., Irwin, M., et al. 2004, Satellites and Tidal Streams, 327, 118 [NASA ADS] [Google Scholar]
- Huxor, A. P., Mackey, A. D., Ferguson, A. M. N., et al. 2014, MNRAS, 442, 2165 [Google Scholar]
- Johnson, L. C., Seth, A. C., Dalcanton, J. J., et al. 2012, ApJ, 752, 95 [CrossRef] [Google Scholar]
- Johnson, L. C., Seth, A. C., Dalcanton, J. J., et al. 2015, ApJ, 802, 127 [NASA ADS] [CrossRef] [Google Scholar]
- Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
- Lantz, B. 2015, Machine Learning with R. Birmingham (UK: Packt Publishing) [Google Scholar]
- LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. 1998, Proc. IEEE, 86, 2278 [Google Scholar]
- Liu, W., Zhu, M., Dai, C., et al. 2019, MNRAS, 483, 4774 [NASA ADS] [CrossRef] [Google Scholar]
- Luo, A.-L., Zhao, Y.-H., Zhao, G., et al. 2015, Res. Astron. Astrophys., 15, 1095 [Google Scholar]
- Martin, N. F., Ibata, R. A., Lewis, G. F., et al. 2016, ApJ, 833, 167 [NASA ADS] [CrossRef] [Google Scholar]
- McConnachie, A. W., Irwin, M. J., Ibata, R. A., et al. 2009, Nature, 461, 66 [Google Scholar]
- McConnachie, A. W., Ibata, R., Martin, N., et al. 2018, ApJ, 868, 55 [Google Scholar]
- Narbutis, D., Vansevičius, V., Kodaira, K., et al. 2008, ApJS, 177, 174 [NASA ADS] [CrossRef] [Google Scholar]
- Nair, V., & Hinton, G. 2010, Rectified Linear Units Improve Restricted Boltzmann Machines Vinod Nair. Proceedings of ICML 27, 807 [Google Scholar]
- Oke, J. B., Cohen, J. G., Carr, M., et al. 1995, PASP, 107, 375 [Google Scholar]
- Pérez, G., Messa, M., Calzetti, D., et al. 2021, ApJ, 907, 100 [CrossRef] [Google Scholar]
- Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129 [Google Scholar]
- Scherer, D., Müller, A., & Behnke, S. 2010, Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition (Berlin, Heidelberg: Springer-Verlag), 92 [Google Scholar]
- Science Software Branch of the Operations& Engineering Division at STScI 2012, Astrophysics Source Code Library [record ascl:1206.003] [Google Scholar]
- Skrutskie, M. F., Cutri, R. M., Stiening, R., et al. 2006, AJ, 131, 1163 [Google Scholar]
- Stoughton, C., Lupton, R. H., Bernardi, M., et al. 2002, AJ, 123, 485 [Google Scholar]
- van Rijsbergen, C. J. 1998, A Non-Classical Logic for Information Retrieval, Information Retrieval: Uncertainty and Logics (Heidelberg: Springer), 3 [CrossRef] [Google Scholar]
- Wang, S., Chen, B., & Ma, J. 2021, A&A, 645, A115 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.