Open Access
Issue |
A&A
Volume 666, October 2022
|
|
---|---|---|
Article Number | A89 | |
Number of page(s) | 11 | |
Section | Numerical methods and codes | |
DOI | https://doi.org/10.1051/0004-6361/202243450 | |
Published online | 13 October 2022 |
- Abazajian, K., Addison, G., Adshead, P., et al. 2019, CMB-S4 Decadal Survey APC White Paper [CrossRef] [Google Scholar]
- Ade, P., Aguirre, J., Ahmed, Z., et al. 2019, J. Cosmol. Astropart. Phys., 2019, 056 [Google Scholar]
- Baccigalupi, C. 2003, New A Rev., 47, 1127 [NASA ADS] [CrossRef] [Google Scholar]
- Bennett, C. L., Bay, M., Halpern, M., et al. 2003, ApJ, 583, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Bonavera, L., Suarez Gomez, S. L., González-Nuevo, J., et al. 2021, A&A, 648, A50 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Boudet, N., Mutschke, H., Nayral, C., et al. 2005, ApJ, 633, 272 [Google Scholar]
- Cai, Z.-Y., Lapi, A., Xia, J.-Q., et al. 2013, ApJ, 768, 21 [NASA ADS] [CrossRef] [Google Scholar]
- Carlstrom, J. E., Holder, G. P., & Reese, E. D. 2002, ARA&A, 40, 643 [Google Scholar]
- Casas, J. M., González-Nuevo, J., Bonavera, L., et al. 2022, A&A, 658, A110 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Chollet, F. 2015, Keras, https://github.com/fchollet/keras [Google Scholar]
- Coulton, W. R., & Spergel, D. N. 2019, J. Cosmol. Astropart. Phys., 2019, 056 [CrossRef] [Google Scholar]
- de Zotti, G., Massardi, M., Negrello, M., & Wall, J. 2010, A&A Rev., 18, 1 [NASA ADS] [CrossRef] [Google Scholar]
- Delabrouille, J., Cardoso, J. F., & Patanchon, G. 2003, MNRAS, 346, 1089 [NASA ADS] [CrossRef] [Google Scholar]
- Delabrouille, J., Cardoso, J. F., Le Jeune, M., et al. 2009, A&A, 493, 835 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Delabrouille, J., Betoule, M., Melin, J. B., et al. 2013, A&A, 553, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Dole, H., Lagache, G., Puget, J.-L., et al. 2006, A&A, 451, 417 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Duchi, J., Hazan, E., & Singer, Y. 2011, J. Mach. Learn. Res., 12, 2121 [Google Scholar]
- Eriksen, H. K., Dickinson, C., Lawrence, C. R., et al. 2006, New A Rev., 50, 861 [NASA ADS] [CrossRef] [Google Scholar]
- Eriksen, H. K., Jewell, J. B., Dickinson, C., et al. 2008, ApJ, 676, 10 [Google Scholar]
- Farsian, F., Krachmalnicoff, N., & Baccigalupi, C. 2020, J. Cosmology Astropart. Phys., 2020, 017 [CrossRef] [Google Scholar]
- González-Nuevo, J., Toffolatti, L., & Argüeso, F. 2005, ApJ, 621, 1 [Google Scholar]
- Goodfellow, I. J. 2010, Technical Report: Multidimensional, Downsampled Convolution for Autoencoders, Université de Montréal [Google Scholar]
- Goodfellow, I. J., Bengio, Y., & Courville, A. 2016, Deep Learning (Cambridge, MA, USA: MIT Press) [Google Scholar]
- Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [Google Scholar]
- Hauser, M. G., & Dwek, E. 2001, ARA&A, 39, 249 [Google Scholar]
- Hensley, B. S., & Draine, B. T. 2021, ApJ, 906, 73 [NASA ADS] [CrossRef] [Google Scholar]
- Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
- Jeffrey, N., Boulanger, F., Wandelt, B. D., et al. 2022, MNRAS, 510, L1 [Google Scholar]
- Krachmalnicoff, N., & Puglisi, G. 2021, ApJ, 911, 42 [Google Scholar]
- Krachmalnicoff, N., & Tomasi, M. 2019, A&A, 628, A129 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Krachmalnicoff, N., Baccigalupi, C., Aumont, J., Bersanelli, M., & Mennella, A. 2016, A&A, 588, A65 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Krachmalnicoff, N., Carretti, E., Baccigalupi, C., et al. 2018, A&A, 618, A166 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Lapi, A., González-Nuevo, J., Fan, L., et al. 2011, ApJ, 742, 24 [NASA ADS] [CrossRef] [Google Scholar]
- Leach, S. M., Cardoso, J. F., Baccigalupi, C., et al. 2008, A&A, 491, 597 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- LeCun, Y., Boser, B., Denker, J. S., et al. 1989, Neural Comput., 1, 541 [NASA ADS] [CrossRef] [Google Scholar]
- Lecun, Y., Bottou, L., Bengio, Y., & Haffner, P. 1998, Proc. IEEE, 86, 2278 [Google Scholar]
- Long, J., Shelhamer, E., & Darrell, T. 2015, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431 [Google Scholar]
- Martínez-González, E., Diego, J. M., Vielva, P., & Silk, J. 2003, MNRAS, 345, 1101 [Google Scholar]
- Meny, C., Gromov, V., Boudet, N., et al. 2007, A&A, 468, 171 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Negrello, M., Clemens, M., Gonzalez-Nuevo, J., et al. 2013, MNRAS, 429, 1309 [Google Scholar]
- Oliphant, T. 2006, NumPy: A Guide to NumPy (USA: Trelgol Publishing) [Google Scholar]
- Paradis, D., Bernard, J.-P., M’eny, C., & Gromov, V. 2011, A&A, 534, A118 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Peebles, P. J. E., & Yu, J. T. 1970, ApJ, 162, 815 [NASA ADS] [CrossRef] [Google Scholar]
- Petroff, M. A., Addison, G. E., Bennett, C. L., & Weiland, J. L. 2020, ApJ, 903, 104 [Google Scholar]
- Planck Collaboration IX. 2016, A&A, 594, A9 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Planck Collaboration X. 2016, A&A, 594, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Planck Collaboration XXVI. 2016, A&A, 594, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Planck Collaboration I. 2020, A&A, 641, A1 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Planck Collaboration IV. 2020, A&A, 641, A4 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Ronneberger, O., Fischer, P., & Brox, T. 2015, Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 [Google Scholar]
- Rumelhart, D. E., Hinton, G. E., & Williams, R. J. 1986, Nature, 323, 533 [Google Scholar]
- Schneider, P. 2006, Extragalactic Astronomy and Cosmology (Berlin, Heidelberg: Springer Berlin Heidelberg) [Google Scholar]
- Smoot, G. F., Bennett, C. L., Kogut, A., et al. 1992, ApJ, 396, L1 [Google Scholar]
- Sugai, H., Ade, P. A. R., Akiba, Y., et al. 2020, J. L. Temp. Phys., 199, 1107 [NASA ADS] [CrossRef] [Google Scholar]
- Toffolatti, L., Argueso Gomez, F., de Zotti, G., et al. 1998, MNRAS, 297, 117 [Google Scholar]
- Tucci, M., Toffolatti, L., de Zotti, G., & Martínez-González, E. 2011, A&A, 533, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
- Wang, G.-J., Shi, H.-L., Yan, Y.-P., et al. 2022, ApJS, 260, 13 [NASA ADS] [CrossRef] [Google Scholar]
- Wei, X.-S., Song, Y.-Z., Mac Aodha, O., et al. 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence [Google Scholar]
- Zonca, A., Singer, L. P., Lenz, D., et al. 2019, J. Open Source Softw., 4, 1298 [NASA ADS] [CrossRef] [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.