HTTP_Request2_Exception Unable to connect to tcp://think-ws.ca.edps.org:85. Error: php_network_getaddresses: getaddrinfo failed: Name or service not known Point source detection with fully convolutional networks - Performance in realistic microwave sky simulations | Astronomy & Astrophysics (A&A)
EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 648 (April 2021) A&A, 648 (2021) A50 References
Free Access
Issue
A&A
Volume 648, April 2021
Article Number A50
Number of page(s) 12
Section Numerical methods and codes
DOI https://doi.org/10.1051/0004-6361/201937171
Published online 09 April 2021
  1. Barreiro, R. B., Sanz, J. L., Herranz, D., & Martínez-González, E. 2003, MNRAS, 342, 119 [Google Scholar]
  2. Bennett, C. L., Bay, M., Halpern, M., et al. 2003, ApJ, 583, 1 [Google Scholar]
  3. Blain, A. W., Ivison, R. J., & Smail, I. 1998, MNRAS, 296, L29 [Google Scholar]
  4. Cai, Z.-Y., Lapi, A., Xia, J.-Q., et al. 2013, ApJ, 768, 21 [NASA ADS] [CrossRef] [Google Scholar]
  5. Carlstrom, J., Abazajian, K., Addison, G., et al. 2019, BAAS, 51, 209 [Google Scholar]
  6. Cayón, L., Sanz, J. L., Barreiro, R. B., et al. 2000, MNRAS, 315, 757 [NASA ADS] [CrossRef] [Google Scholar]
  7. Chauvin, Y., & Rumelhart, D. E. 2013, Backpropagation: Theory, Architectures and Applications (Psychology Press) [Google Scholar]
  8. Dai, J., Li, Y., He, K., & Sun, J. 2016, in Advances in Neural Information Processing Systems, 379 [Google Scholar]
  9. Delabrouille, J., Melin, J. B., & Bartlett, J. G. 2002, in Simulations of Sunyaev-Zel’dovich Maps and Their Applications, eds. L. W. Chen, C. P. Ma, K. W. Ng, & U. L. Pen, ASP Conf. Ser., 257, 81 [Google Scholar]
  10. Delabrouille, J., Betoule, M., Melin, J. B., et al. 2013, A&A, 553, A96 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  11. Delabrouille, J., de Bernardis, P., Bouchet, F. R., et al. 2018, J. Cosmol. Astropart. Phys., 2018, 014 [Google Scholar]
  12. Dewdney, P. E., Hall, P. J., Schilizzi, R. T., & Lazio, T. J. L. W. 2009, IEEE Proc., 97, 1482 [Google Scholar]
  13. Dole, H., Rieke, G. H., Lagache, G., et al. 2004, ApJS, 154, 93 [Google Scholar]
  14. Dole, H., Lagache, G., Puget, J.-L., et al. 2006, A&A, 451, 417 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  15. Eddington, A. S. 1913, MNRAS, 73, 359 [Google Scholar]
  16. Fernández-Cobos, R., Vielva, P., Barreiro, R. B., & Martínez-González, E. 2012, MNRAS, 420, 2162 [NASA ADS] [CrossRef] [Google Scholar]
  17. Fluri, J., Kacprzak, T., Lucchi, A., et al. 2019, Phys. Rev. D, 100 [CrossRef] [Google Scholar]
  18. Giusarma, E., Reyes Hurtado, M., Villaescusa-Navarro, F., et al. 2019, ArXiv e-prints [arXiv:1910.04255] [Google Scholar]
  19. Giusti, A., Cireşan, D. C., Masci, J., Gambardella, L. M., & Schmidhuber, J. 2013, in 2013 IEEE International Conference on Image Processing (IEEE), 4034 [Google Scholar]
  20. Gómez, S. L. S., González-Gutiérrez, C., Alonso, E. D., et al. 2019, PASP, 131 [Google Scholar]
  21. González-Nuevo, J., Toffolatti, L., & Argüeso, F. 2005, ApJ, 621, 1 [Google Scholar]
  22. González-Nuevo, J., Argüeso, F., López-Caniego, M., et al. 2006, MNRAS, 369, 1603 [Google Scholar]
  23. González-Nuevo, J., Massardi, M., Argüeso, F., et al. 2008, MNRAS, 384, 711 [Google Scholar]
  24. Górski, K. M., Hivon, E., Banday, A. J., et al. 2005, ApJ, 622, 759 [NASA ADS] [CrossRef] [Google Scholar]
  25. Granato, G. L., De Zotti, G., Silva, L., Bressan, A., & Danese, L. 2004, ApJ, 600, 580 [Google Scholar]
  26. Graves, A., Mohamed, A. R., & Hinton, G. 2013, in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (IEEE), 6645 [Google Scholar]
  27. Hanany, S., Alvarez, M., Artis, E., et al. 2019, ArXiv e-prints [arXiv:1902.10541] [Google Scholar]
  28. Hauser, M. G., & Dwek, E. 2001, ARA&A, 39, 249 [Google Scholar]
  29. He, S., Li, Y., Feng, Y., et al. 2019, Proc. Nat. Acad. Sci., 116, 13825 [Google Scholar]
  30. Herranz, D., Sanz, J. L., Barreiro, R. B., & Martínez-González, E. 2002, ApJ, 580, 610 [Google Scholar]
  31. Hopkins, A. M., Whiting, M. T., Seymour, N., et al. 2015, PASA, 32, e037 [Google Scholar]
  32. Hunter, J. D. 2007, Comput. Sci. Eng., 9, 90 [NASA ADS] [CrossRef] [Google Scholar]
  33. Jones, E., Oliphant, T., Peterson, P., et al. 2001, SciPy: Open Source Scientific Tools for Python [Google Scholar]
  34. Juez, F. J., Lasheras, F. S., Roqueñí, N., & Osborn, J. 2012, Sensors, 12, 8895 [Google Scholar]
  35. Kay, S. M. 1998, Fundamentals of Statistical Signal Processing, 2 (Upper Saddle River, New Jersey: Prentice Hall PTR) [Google Scholar]
  36. Krizhevsky, A., Sutskever, I., & Hinton, G. E. 2012, in Advances in Neural Information Processing Systems, 1097 [Google Scholar]
  37. Lagache, G., Dole, H., & Puget, J. L. 2003, MNRAS, 338, 555 [Google Scholar]
  38. Lapi, A., Shankar, F., Mao, J., et al. 2006, ApJ, 650, 42 [Google Scholar]
  39. Lapi, A., González-Nuevo, J., Fan, L., et al. 2011, ApJ, 742, 24 [NASA ADS] [CrossRef] [Google Scholar]
  40. Laureijs, R., Amiaux, J., Arduini, S., et al. 2011, ArXiv e-prints [arXiv:1110.3193] [Google Scholar]
  41. Leach, S. M., Cardoso, J. F., Baccigalupi, C., et al. 2008, A&A, 491, 597 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  42. LeCun, Y., Bengio, Y., & Hinton, G. 2015, Nature, 521, 436 [Google Scholar]
  43. Long, J., Shelhamer, E., & Darrell, T. 2015, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431 [Google Scholar]
  44. López-Caniego, M., Herranz, D., González-Nuevo, J., et al. 2006, MNRAS, 370, 2047 [Google Scholar]
  45. López-Caniego, M., González-Nuevo, J., Herranz, D., et al. 2007, ApJS, 170, 108 [Google Scholar]
  46. Massardi, M., López-Caniego, M., González-Nuevo, J., et al. 2009, MNRAS, 392, 733 [Google Scholar]
  47. Mathuriya, A., Bard, D., Mendygral, P., et al. 2018, ArXiv e-prints [arXiv:1808.04728] [Google Scholar]
  48. Matsumura, T., Akiba, Y., Borrill, J., et al. 2014, J. Low Temp. Phys., 176, 733 [NASA ADS] [CrossRef] [Google Scholar]
  49. Miville-Deschênes, M. A., Lagache, G., Boulanger, F., & Puget, J. L. 2007, A&A, 469, 595 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Mustafa, M., Bard, D., Bhimji, W., et al. 2019, Comput. Astrophys. Cosmol., 6, 1 [Google Scholar]
  51. Nair, V., & Hinton, G. E. 2010, in Proceedings of the 27th International Conference on Machine Learning (ICML-10), 807 [Google Scholar]
  52. Negrello, M., Clemens, M., Gonzalez-Nuevo, J., et al. 2013, MNRAS, 429, 1309 [Google Scholar]
  53. Pearson, W. J., Wang, L., Alpaslan, M., et al. 2019, A&A, 631, A51 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  54. Pérez, F., & Granger, B. E. 2007, Comput. Sci. Eng., 9, 21 [Google Scholar]
  55. Perraudin, N., Srivastava, A., Lucchi, A., et al. 2019, Comput. Astrophys. Cosmol., 6, 5 [Google Scholar]
  56. Petrillo, C. E., Tortora, C., Chatterjee, S., et al. 2017, MNRAS, 472, 1129 [Google Scholar]
  57. Planck Collaboration I. 2011, A&A, 536, A7 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  58. Planck Collaboration XII. 2011, A&A, 536, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  59. Planck Collaboration XIX. 2011, A&A, 536, A19 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  60. Planck Collaboration XI. 2014, A&A, 571, A11 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  61. Planck Collaboration XXVIII. 2014, A&A, 571, A28 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  62. Planck Collaboration X. 2016, A&A, 594, A10 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  63. Planck Collaboration XXVI. 2016, A&A, 594, A26 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  64. Planck Collaboration LIV. 2018, A&A, 619, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  65. Planck Collaboration I. 2020, A&A, 641, A1 [CrossRef] [EDP Sciences] [Google Scholar]
  66. Planck Collaboration IV. 2020, A&A, 641, A4 [CrossRef] [EDP Sciences] [Google Scholar]
  67. Planck Collaboration Int. VII., 2013, A&A, 550, A133 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  68. Planck HFI Core Team 2011, A&A, 536, A6 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  69. Puget, J. L., Abergel, A., Bernard, J. P., et al. 1996, A&A, 308, L5 [Google Scholar]
  70. Rubiño-Martín, J. A., Rebolo, R., Aguiar, M., et al. 2012, in The QUIJOTE-CMB Experiment: Studying the Polarisation of the Galactic and Cosmological Microwave Emissions, SPIE Conf. Ser., 8444, 84442Y [Google Scholar]
  71. Rumelhart, D. E., Hinton, G. E., Williams, R. J., et al. 1988, Cognitive Model., 5, 1 [Google Scholar]
  72. Suárez Gómez, S., Santos Rodríguez, J., Iglesias Rodríguez, F., & de Cos Juez, F. 2017, Entropy, 19, 103 [Google Scholar]
  73. Suárez Gómez, S. L., González-Gutiérrez, C., García Riesgo, F., et al. 2019, Sensors, 19, 2233 [Google Scholar]
  74. Tegmark, M., & de Oliveira-Costa, A. 1998, ApJ, 500, L83 [Google Scholar]
  75. Toffolatti, L., Argueso Gomez, F., de Zotti, G., et al. 1998, MNRAS, 297, 117 [Google Scholar]
  76. Tucci, M., Toffolatti, L., de Zotti, G., & Martínez-González, E. 2011, A&A, 533, A57 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  77. Vielva, P., Martínez-González, E., Cayón, L., et al. 2001, MNRAS, 326, 181 [Google Scholar]
  78. Vielva, P., Martínez-González, E., Gallegos, J. E., Toffolatti, L., & Sanz, J. L. 2003, MNRAS, 344, 89 [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.