EDP Sciences
Home All issues Volume 624 (April 2019) A&A, 624 (2019) A13 References
Free Access
Issue
A&A
Volume 624, April 2019
Article Number A13
Number of page(s) 15
Section Catalogs and data
DOI https://doi.org/10.1051/0004-6361/201834794
Published online 01 April 2019
  • Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, Software available from: https://www.tensorflow.org/ [Google Scholar]
  • Abolfathi, B., Aguado, D. S., Aguilar, G., et al. 2018, ApJS, 235, 42 [Google Scholar]
  • Assef, R. J., Stern, D., Kochanek, C. S., et al. 2013, ApJ, 772, 26 [Google Scholar]
  • Assef, R. J., Stern, D., Noirot, G., et al. 2018, ApJS, 234, 23 [Google Scholar]
  • Bertin, E., & Arnouts, S. 1996, A&AS, 117, 393 [Google Scholar]
  • Bilicki, M., Hoekstra, H., Brown, M. J. I., et al. 2018, A&A, 616, A69 [Google Scholar]
  • Blanton, M. R., Bershady, M. A., Abolfathi, B., et al. 2017, AJ, 154, 28 [Google Scholar]
  • Bovy, J., Hennawi, J. F., Hogg, D. W., et al. 2011, ApJ, 729, 141 [Google Scholar]
  • Bovy, J., Myers, A. D., Hennawi, J. F., et al. 2012, ApJ, 749, 41 [Google Scholar]
  • Breiman, L. 1996, Mach. Learn., 24, 123 [Google Scholar]
  • Breiman, L. 2001, Mach. Learn., 45, 5 [Google Scholar]
  • Brescia, M., Cavuoti, S., & Longo, G. 2015, MNRAS, 450, 3893 [Google Scholar]
  • Capaccioli, M., Schipani, P., de Paris, G., et al. 2012, Science from the NextGeneration Imaging and Spectroscopic Surveys, 1 [Google Scholar]
  • Carrasco, D., Barrientos, L. F., Pichara, K., et al. 2015, A&A, 584, A44 [Google Scholar]
  • Chen, T., & Guestrin, C. 2016, Proceedings of the 22Nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’16 (New York, NY, USA: ACM), 785 [Google Scholar]
  • Chollet, F. 2015, keras, https://github.com/fchollet/keras [Google Scholar]
  • Croom, S. M., Smith, R. J., Boyle, B. J., et al. 2004, MNRAS, 349, 1397 [Google Scholar]
  • Croom, S. M., Richards, G. T., Shanks, T., et al. 2009, MNRAS, 392, 19 [Google Scholar]
  • Cuoco, A., Bilicki, M., Xia, J.-Q., & Branchini, E. 2017, ApJS, 232, 10 [Google Scholar]
  • Cutri, R. M., et al. 2013, VizieR Online Data Catalog: II/328 [Google Scholar]
  • Dawson, K. S., Schlegel, D. J., Ahn, C. P., et al. 2013, AJ, 145, 10 [Google Scholar]
  • de Jong, J. T. A., Kuijken, K., Applegate, D., et al. 2013, The Messenger, 154, 44 [NASA ADS] [Google Scholar]
  • de Jong, J. T. A., Verdoes Kleijn, G. A., Boxhoorn, D. R., et al. 2015, A&A, 582, A62 [Google Scholar]
  • de Jong, J. T. A., Verdoes Kleijn, G. A., Erben, T., et al. 2017, A&A, 604, A134 [Google Scholar]
  • de Jong, R. 2011, The Messenger, 145, 14 [NASA ADS] [Google Scholar]
  • DESI Collaboration (Aghamousa, A., et al.) 2016, ArXiv e-prints [arXiv:1611.00036] [Google Scholar]
  • DiPompeo, M. A., Myers, A. D., Hickox, R. C., Geach, J. E., & Hainline, K. N. 2014, MNRAS, 442, 3443 [Google Scholar]
  • DiPompeo, M. A., Bovy, J., Myers, A. D., & Lang, D. 2015, MNRAS, 452, 3124 [Google Scholar]
  • DiPompeo, M. A., Hickox, R. C., & Myers, A. D. 2016, MNRAS, 456, 924 [Google Scholar]
  • DiPompeo, M. A., Hickox, R. C., Eftekharzadeh, S., & Myers, A. D. 2017, MNRAS, 469, 4630 [Google Scholar]
  • Edelson, R., & Malkan, M. 2012, ApJ, 751, 52 [Google Scholar]
  • Edge, A., Sutherland, W., Kuijken, K., et al. 2013, The Messenger, 154, 32 [NASA ADS] [Google Scholar]
  • Eftekharzadeh, S., Myers, A. D., White, M., et al. 2015, MNRAS, 453, 2779 [Google Scholar]
  • Fotopoulou, S., & Paltani, S. 2018, A&A, 619, A14 [Google Scholar]
  • Gaia Collaboration (Prusti, T., et al.) 2016, A&A, 595, A1 [Google Scholar]
  • Gaia Collaboration (Brown, A. G. A., et al.) 2018a, A&A, 616, A1 [Google Scholar]
  • Gaia Collaboration (Mignard, F., et al.) 2018b, A&A, 616, A14 [Google Scholar]
  • Harrell, F. 2001, Chapter 5: Resampling, Validating, and Simplifying the Model, 3, 88 [Google Scholar]
  • Haykin, S. 1998, Neural Networks: A Comprehensive Foundation, 2nd edn. (Upper Saddle River, NJ, USA: Prentice Hall PTR) [Google Scholar]
  • Heintz, K. E., Fynbo, J. P. U., Ledoux, C., et al. 2018, A&A, 615, A43 [Google Scholar]
  • Hernitschek, N., Schlafly, E. F., Sesar, B., et al. 2016, ApJ, 817, 73 [Google Scholar]
  • Ho, S., Agarwal, N., Myers, A. D., et al. 2015, JCAP, 5, 040 [Google Scholar]
  • Jarrett, T. H., Cohen, M., Masci, F., et al. 2011, ApJ, 735, 112 [Google Scholar]
  • Jarrett, T. H., Cluver, M. E., Magoulas, C., et al. 2017, ApJ, 836, 182 [Google Scholar]
  • Kauffmann, G., Heckman, T. M., Tremonti, C., et al. 2003, MNRAS, 346, 1055 [Google Scholar]
  • Kewley, L. J., Maier, C., Yabe, K., et al. 2013, ApJ, 774, L10 [Google Scholar]
  • Kluyver, T., Ragan-Kelley, B., Pérez, F., et al. 2016, Positioning and Power in Academic Publishing: Players, Agents and Agendas, 20th International Conference on Electronic Publishing, Göttingen, Germany, June 7–9, 2016, 87 [Google Scholar]
  • Kohonen, T. (ed.) 1997, in Self-organizing Maps (Berlin, Heidelberg: Springer-Verlag) [Google Scholar]
  • Kormendy, J., & Ho, L. C. 2013, ARA&A, 51, 511 [Google Scholar]
  • Kuijken, K. 2008, A&A, 482, 1053 [Google Scholar]
  • Kuijken, K. 2011, The Messenger, 146, 8 [NASA ADS] [Google Scholar]
  • Kuijken, K., Heymans, C., Hildebrandt, H., et al. 2015, MNRAS, 454, 3500 [Google Scholar]
  • Kurcz, A., Bilicki, M., Solarz, A., et al. 2016, A&A, 592, A25 [Google Scholar]
  • Laurent, P., Eftekharzadeh, S., Le Goff, J.-M., et al. 2017, JCAP, 7, 017 [Google Scholar]
  • Leistedt, B., Peiris, H. V., & Roth, N. 2014, Phys. Rev. Lett., 113, 221301 [Google Scholar]
  • Lindegren, L., Hernández, J., Bombrun, A., et al. 2018, A&A, 616, A2 [Google Scholar]
  • Maddox, N., Hewett, P. C., Warren, S. J., & Croom, S. M. 2008, MNRAS, 386, 1605 [Google Scholar]
  • Maddox, N., Hewett, P. C., Péroux, C., Nestor, D. B., & Wisotzki, L. 2012, MNRAS, 424, 2876 [Google Scholar]
  • Masci, F. J., Hoffman, D. I., Grillmair, C. J., & Cutri, R. M. 2014, AJ, 148, 21 [Google Scholar]
  • Masters, D., Capak, P., Stern, D., et al. 2015, ApJ, 813, 53 [Google Scholar]
  • Möller, A., Ruhlmann-Kleider, V., Leloup, C., et al. 2016, JCAP, 12, 008 [Google Scholar]
  • Pâris, I., Petitjean, P., Aubourg, É., et al. 2018, A&A, 613, A51 [Google Scholar]
  • Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Mach. Learn. Res., 12, 2825 [Google Scholar]
  • Peth, M. A., Ross, N. P., & Schneider, D. P. 2011, AJ, 141, 105 [Google Scholar]
  • Piramuthu, S., & Sikora, R. T. 2009, Expert Syst. Appl., 36, 3401 [Google Scholar]
  • Richards, G. T., Fan, X., Newberg, H. J., et al. 2002, AJ, 123, 2945 [Google Scholar]
  • Richards, G. T., Nichol, R. C., Gray, A. G., et al. 2004, ApJS, 155, 257 [Google Scholar]
  • Richards, G. T., Myers, A. D., Gray, A. G., et al. 2009a, ApJS, 180, 67 [Google Scholar]
  • Richards, G. T., Deo, R. P., Lacy, M., et al. 2009b, AJ, 137, 3884 [Google Scholar]
  • Richards, G. T., Myers, A. D., Peters, C. M., et al. 2015, ApJS, 219, 39 [Google Scholar]
  • Scranton, R., Ménard, B., Richards, G. T., et al. 2005, ApJ, 633, 589 [Google Scholar]
  • Secrest, N. J., Dudik, R. P., Dorland, B. N., et al. 2015, ApJS, 221, 12 [Google Scholar]
  • Sherwin, B. D., Das, S., Hajian, A., et al. 2012, Phys. Rev. D, 86, 083006 [Google Scholar]
  • Spiniello, C., Agnello, A., Napolitano, N. R., et al. 2018, MNRAS, 480, 1163 [Google Scholar]
  • Stern, D., Assef, R. J., Benford, D. J., et al. 2012, ApJ, 753, 30 [Google Scholar]
  • Stölzner, B., Cuoco, A., Lesgourgues, J., & Bilicki, M. 2018, Phys. Rev. D, 97, 063506 [Google Scholar]
  • Strauss, M. A., Weinberg, D. H., Lupton, R. H., et al. 2002, AJ, 124, 1810 [Google Scholar]
  • Taylor, M. B. 2005, in Astronomical Data Analysis Software and Systems XIV, eds. P. Shopbell, M. Britton, & R. Ebert, ASP Conf. Ser., 347, 29 [Google Scholar]
  • van der Maaten, L., & Hinton, G. 2008, J. Mach. Learn. Res., 9, 2579 [Google Scholar]
  • Venemans, B. P., Verdoes Kleijn, G. A., Mwebaze, J., et al. 2015, MNRAS, 453, 2259 [Google Scholar]
  • Warren, S. J., Hewett, P. C., & Foltz, C. B. 2000, MNRAS, 312, 827 [Google Scholar]
  • Wright, E. L., Eisenhardt, P. R. M., Mainzer, A. K., et al. 2010, AJ, 140, 1868 [Google Scholar]
  • Wu, X.-B., Hao, G., Jia, Z., Zhang, Y., & Peng, N. 2012, AJ, 144, 49 [Google Scholar]
  • Yèche, C., Petitjean, P., Rich, J., et al. 2010, A&A, 523, A14 [Google Scholar]
  • York, D. G., Adelman, J., Anderson, Jr., J. E., et al. 2000, AJ, 120, 1579 [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.