EDP Sciences logo
Subscriber Authentication Point
Search
Menu
Home All issues Volume 686 (June 2024) A&A, 686 (2024) A213 References
Open Access
Issue
A&A
Volume 686, June 2024
Article Number A213
Number of page(s) 15
Section The Sun and the Heliosphere
DOI https://doi.org/10.1051/0004-6361/202348314
Published online 14 June 2024
  1. Ahmadzadeh, A., Mahajan, S. S., Kempton, D. J., Angryk, R. A., & Ji, S. 2019, ArXiv e-prints [arXiv:1912.02743] [Google Scholar]
  2. Bethge, C., Peter, H., Kentischer, T. J., et al. 2011, A&A, 534, A105 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  3. Bruzek, A., & Durrant, C. 1977, Illustrated Glossary for Solar and Solar Terrestrial Physics (Dordrecht: D. Reidel) [CrossRef] [Google Scholar]
  4. Carrington, R. C. 1858, MNRAS, 19, 1 [NASA ADS] [CrossRef] [Google Scholar]
  5. Chatzistergos, T., Ermolli, I., Banerjee, D., et al. 2023, A&A, 680, A15 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Clette, F., Cugnon, P., Berghmans, D., van der Linden, R., & Wauters, L. 2002, in Solar Variability: From Core to Outer Frontiers, ed. A. Wilson, ESA Special Publication, 2, 935 [NASA ADS] [Google Scholar]
  7. Deng, H., Zhang, D., Wang, T., et al. 2015, Sol. Phys., 290, 1479 [NASA ADS] [CrossRef] [Google Scholar]
  8. Denker, C., Johannesson, A., Marquette, W., et al. 1999, Sol. Phys., 184, 87 [NASA ADS] [CrossRef] [Google Scholar]
  9. Denker, C., Dineva, E., Balthasar, H., et al. 2018, Sol. Phys., 293, 44 [NASA ADS] [CrossRef] [Google Scholar]
  10. Diercke, A., & Denker, C. 2019, Sol. Phys., 294, 152 [NASA ADS] [CrossRef] [Google Scholar]
  11. Diercke, A., Kuckein, C., Verma, M., & Denker, C. 2021, Sol. Phys., 296, 35 [NASA ADS] [CrossRef] [Google Scholar]
  12. Diercke, A., Kuckein, C., Cauley, P. W., et al. 2022, A&A, 661, A107 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  13. Elgendy, M. 2020, Deep Learning for Vision Systems (New York: Manning Publications) [Google Scholar]
  14. Girshick, R., Donahue, J., Darrell, T., & Malik, J. 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 580 [CrossRef] [Google Scholar]
  15. Guo, X., Yang, Y., Feng, S., et al. 2022, Sol. Phys., 297, 104 [NASA ADS] [CrossRef] [Google Scholar]
  16. Hao, Q., Fang, C., Cao, W., & Chen, P. F. 2015, ApJS, 221, 33 [NASA ADS] [CrossRef] [Google Scholar]
  17. Harvey, J. W., Bolding, J., Clark, R., et al. 2011, AAS/Solar Physics Division Meeting, 42, 17.45 [NASA ADS] [Google Scholar]
  18. Harvey, J. W., Hill, F., Hubbard, R. P., et al. 1996, Science, 272, 1284 [Google Scholar]
  19. He, K., Gkioxari, G., Dollár, P., & Girshick, R. 2017, 2017 IEEE International Conference on Computer Vision (ICCV), 2980 [CrossRef] [Google Scholar]
  20. Hill, F. 2018, Space Weather, 16, 1488 [NASA ADS] [CrossRef] [Google Scholar]
  21. Hofmeister, S. J., Utz, D., Heinemann, S. G., Veronig, A., & Temmer, M. 2019, A&A, 629, A22 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Hurlburt, N., Cheung, M., Schrijver, C., et al. 2012, Sol. Phys., 275, 67 [Google Scholar]
  23. Illarionov, E., Kosovichev, A., & Tlatov, A. 2020, ApJ, 903, 115 [Google Scholar]
  24. Jain, K., Tripathy, S. C., Hill, F., & Pevtsov, A. A. 2021, PASP, 133, 105001 [NASA ADS] [CrossRef] [Google Scholar]
  25. Jarolim, R., Veronig, A. M., Pötzi, W., & Podladchikova, T. 2020, A&A, 643, A72 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  26. Jarolim, R., Veronig, A. M., Hofmeister, S., et al. 2021, A&A, 652, A13 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  27. Jocher, G., Stoken, A., Borovec, J., et al. 2020, https://doi.org/10.5281/zenodo.3983579 [Google Scholar]
  28. Joshi, A. D., Srivastava, N., & Mathew, S. K. 2010, Sol. Phys., 262, 425 [NASA ADS] [CrossRef] [Google Scholar]
  29. Karachik, N. V., & Pevtsov, A. A. 2014, Sol. Phys, 289, 821 [NASA ADS] [CrossRef] [Google Scholar]
  30. Kentischer, T. J., Bethge, C., Elmore, D. F., et al. 2008, in Ground-Based and Airborne Instrumentation for Astronomy II, eds. I. S. McLean, & M. M. Casali, Proc. SPIE, 7014, 701413 [NASA ADS] [Google Scholar]
  31. Kuckein, C., Denker, C., Verma, M., et al. 2017, in Fine Structure and Dynamics of the Solar Atmosphere, eds. S. Vargas Domínguez, A. G. Kosovichev, P. Antolin, & L. Harra, IAU Symp., 327, 20 [Google Scholar]
  32. Kuckein, C., Verma, M., & Denker, C. 2016, A&A, 589, A84 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  33. Kuckein, C., González Manrique, S. J., Kleint, L., & Asensio Ramos, A. 2020, A&A, 640, A71 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  34. Leroy, J. L., Bommier, V., & Sahal-Brechot, S. 1983, Sol. Phys., 83, 135 [NASA ADS] [CrossRef] [Google Scholar]
  35. Liu, D., Song, W., Lin, G., & Wang, H. 2021, Sol. Phys., 296, 176 [CrossRef] [Google Scholar]
  36. Mackay, D. H., Karpen, J. T., Ballester, J. L., Schmieder, B., & Aulanier, G. 2010, Space Sci. Rev., 151, 333 [Google Scholar]
  37. Martin, S. F. 1998, Sol. Phys., 182, 107 [Google Scholar]
  38. Otruba, W., & Pötzi, W. 2003, Hvar Obs. Bull., 27, 189 [Google Scholar]
  39. Otsu, N. 1979, IEEE Trans. Syst. Man Cybernet., 9, 62 [CrossRef] [Google Scholar]
  40. Palacios, J., Utz, D., Hofmeister, S., et al. 2020, Sol. Phys., 295, 64 [NASA ADS] [CrossRef] [Google Scholar]
  41. Paszke, A., Gross, S., Massa, F., et al. 2019, Advances in Neural Information Processing Systems, 8026 [Google Scholar]
  42. Pötzi, W., Veronig, A. M., Riegler, G., et al. 2015, Sol. Phys., 290, 951 [Google Scholar]
  43. Pötzi, W., Veronig, A., Jarolim, R., et al. 2021, Sol. Phys., 296, 164 [CrossRef] [Google Scholar]
  44. Qu, M., Shih, F. Y., Jing, J., & Wang, H. 2005, Sol. Phys., 228, 119 [NASA ADS] [CrossRef] [Google Scholar]
  45. Quintero Noda, C., Schlichenmaier, R., Bellot Rubio, L. R., et al. 2022, A&A, 666, A21 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Redmon, J., & Farhadi, A. 2016, YOLO9000: Better, Faster, Stronger [Google Scholar]
  47. Redmon, J., & Farhadi, A. 2018, YOLOv3: An Incremental Improvement [Google Scholar]
  48. Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. 2016, You OnlyLook Once: Unified, Real-Time Object Detection [Google Scholar]
  49. Reiss, M. A., Hofmeister, S. J., De Visscher, R., et al. 2015, J. Space Weather Space Clim., 5, A23 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  50. Rimmele, T. R., Warner, M., Keil, S. L., et al. 2020, Sol. Phys., 295, 172 [Google Scholar]
  51. Ronneberger, O., Fischer, P., & Brox, T. 2015, in Medical Image Computing and Computer-Assisted Intervention, eds. N. Navab, J. Hornegger, W. M. Wells, & A. F. Frangi (Cham: Springer International Publishing), 234 [Google Scholar]
  52. Schmidt, W., von der Lühe, O., Volkmer, R., et al. 2012, Astron. Nachr., 333, 796 [Google Scholar]
  53. Scholl, I. F., & Habbal, S. R. 2008, Sol. Phys., 248, 425 [NASA ADS] [CrossRef] [Google Scholar]
  54. Shen, Z., Diercke, A., & Denker, C. 2018, Astron. Nachr., 339, 661 [NASA ADS] [CrossRef] [Google Scholar]
  55. Shih, F. Y., & Kowalski, A. J. 2003, Sol. Phys., 218, 99 [NASA ADS] [CrossRef] [Google Scholar]
  56. Steinegger, M., Denker, C., Goode, P. R., et al. 2000, in The Solar Cycle and Terrestrial Climate, Solar and Space Weather, ed. A. Wilson, ESA Special Publication, 463, 617 [NASA ADS] [Google Scholar]
  57. Suo, L. 2020, Adv. Space Res., 65, 1054 [NASA ADS] [CrossRef] [Google Scholar]
  58. Tian, Z., Shen, C., & Chen, H. 2020, ArXiv e-prints [arXiv:2003.05664] [Google Scholar]
  59. Tritschler, A., Rimmele, T. R., Berukoff, S., et al. 2016, Astron. Nachr., 337, 1064 [Google Scholar]
  60. von der Lühe, O. 1998, New Astron. Rev., 42, 493 [Google Scholar]
  61. Wang, S., Jenkins, J. M., Martinez Pillet, V., et al. 2020, ApJ, 892, 75 [Google Scholar]
  62. Xu, Y., Pötzi, W., Zhang, H., et al. 2018, ApJ, 862, L23 [NASA ADS] [CrossRef] [Google Scholar]
  63. Zacharov, I., Arslanov, R., Gunin, M., et al. 2019, Open Eng., 9, 59 [Google Scholar]
  64. Zhu, G., Lin, G., Wang, D., Liu, S., & Yang, X. 2019, Sol. Phys., 294, 117 [CrossRef] [Google Scholar]
  65. Zhu, G., Lin, G., Wang, D., Liu, S., & Yang, X. 2020, in Astronomical Data Analysis Software and Systems XXIX, eds. R. Pizzo, E. R. Deul, J. D. Mol, J. de Plaa, & H. Verkouter, ASP Conf. Ser., 527, 159 [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.