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Home All issues Volume 590 (June 2016) A&A, 590 (2016) A48 References
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Issue
A&A
Volume 590, June 2016
Article Number A48
Number of page(s) 10
Section Extragalactic astronomy
DOI https://doi.org/10.1051/0004-6361/201527796
Published online 10 May 2016
  1. Abdo, A. A., Ackermann, M., Ajello, M., et al. 2010, ApJ, 710, 810 [NASA ADS] [CrossRef] [Google Scholar]
  2. Adelman-McCarthy, J. K., Agüeros, M. A., Allam, S. S., et al. 2008, ApJS, 175, 297 [NASA ADS] [CrossRef] [Google Scholar]
  3. Aigrain, S., Pont, F., & Zucker, S. 2012, MNRAS, 419, 3147 [NASA ADS] [CrossRef] [Google Scholar]
  4. Angelakis, E., Fuhrmann, L., Nestoras, I., et al. 2010, ArXiv e-prints [arXiv:1006.5610] [Google Scholar]
  5. Angelakis, E., Fuhrmann, L., Marchili, N., et al. 2015, A&A, 575, A55 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  6. Blandford, R. D., & Königl, A. 1979, ApJ, 232, 34 [NASA ADS] [CrossRef] [Google Scholar]
  7. Camenzind, M., & Krockenberger, M. 1992, A&A, 255, 59 [NASA ADS] [Google Scholar]
  8. Ciprini, S. 2008, ATel, 1650, 1 [NASA ADS] [Google Scholar]
  9. Daly, R. A., & Marscher, A. P. 1988, ApJ, 334, 539 [NASA ADS] [CrossRef] [Google Scholar]
  10. Edelson, R. A., & Krolik, J. H. 1988, ApJ, 333, 646 [NASA ADS] [CrossRef] [Google Scholar]
  11. Fromm, C. M., Fuhrmann, L., & Perucho, M. 2015, A&A, 580, A94 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  12. Fuhrmann, L., Zensus, J. A., Krichbaum, T. P., Angelakis, E., & Readhead, A. C. S. 2007, in The First GLAST Symposium, eds. S. Ritz, P. Michelson, & C. A. Meegan, AIP Conf. Ser., 921, 249 [Google Scholar]
  13. Fuhrmann, L., Larsson, S., Chiang, J., et al. 2014, MNRAS, 441, 1899 [NASA ADS] [CrossRef] [Google Scholar]
  14. Gibson, N. P., Aigrain, S., Roberts, S., et al. 2012, MNRAS, 419, 2683 [NASA ADS] [CrossRef] [Google Scholar]
  15. Gómez, J. L., Martí, J. M. A., Marscher, A. P., Ibanez, J. M. A., & Marcaide, J. M. 1995, ApJ, 449, L19 [NASA ADS] [CrossRef] [Google Scholar]
  16. Gurwell, M. A., Peck, A. B., Hostler, S. R., Darrah, M. R., & Katz, C. A. 2007, in From Z-Machines to ALMA: (Sub)Millimeter Spectroscopy of Galaxies, eds. A. J. Baker, J. Glenn, A. I. Harris, J. G. Mangum, & M. S. Yun, ASP Conf. Ser., 375, 234 [Google Scholar]
  17. Hirotani, K. 2005, ApJ, 619, 73 [NASA ADS] [CrossRef] [Google Scholar]
  18. Ivezić, V., Connolly, A. J., VanderPlas, J. T., & Gray, A. 2014, Statistics, Data Mining, and Machine Learning in Astronomy, stu – student edition edn., Princeton Series in Modern Observational Astronomy (Princeton University Press), 544 [Google Scholar]
  19. Kaiser, C. R. 2006, MNRAS, 367, 1083 [NASA ADS] [CrossRef] [Google Scholar]
  20. Karamanavis, V. 2015, Ph.D. Thesis, University of Cologne [Google Scholar]
  21. Karamanavis, V., Fuhrmann, L., Krichbaum, T. P., et al. 2016, A&A, 586, A60 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  22. Königl, A. 1981, ApJ, 243, 700 [NASA ADS] [CrossRef] [Google Scholar]
  23. Kovalev, Y. Y., Lobanov, A. P., Pushkarev, A. B., & Zensus, J. A. 2008, A&A, 483, 759 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  24. Kudryavtseva, N. A., Gabuzda, D. C., Aller, M. F., & Aller, H. D. 2011, MNRAS, 415, 1631 [NASA ADS] [CrossRef] [Google Scholar]
  25. Kutkin, A. M., Sokolovsky, K. V., Lisakov, M. M., et al. 2014, MNRAS, 437, 3396 [NASA ADS] [CrossRef] [Google Scholar]
  26. Larsson, S. 2012, Fermi & Jansky Proceedings – eConf C1111101 [arXiv:1207.1459] [Google Scholar]
  27. Lister, M. L., Kellermann, K. I., Vermeulen, R. C., et al. 2003, ApJ, 584, 135 [NASA ADS] [CrossRef] [Google Scholar]
  28. Lister, M. L., Cohen, M. H., Homan, D. C., et al. 2009, AJ, 138, 1874 [NASA ADS] [CrossRef] [Google Scholar]
  29. Lobanov, A. P. 1998, A&A, 330, 79 [NASA ADS] [Google Scholar]
  30. Lobanov, A. P., & Zensus, J. A. 2001, Science, 294, 128 [Google Scholar]
  31. Marcaide, J. M., & Shapiro, I. I. 1984, ApJ, 276, 56 [NASA ADS] [CrossRef] [Google Scholar]
  32. Marscher, A. P., & Gear, W. K. 1985, ApJ, 298, 114 [NASA ADS] [CrossRef] [Google Scholar]
  33. Max-Moerbeck, W., Hovatta, T., Richards, J. L., et al. 2014, MNRAS, 445, 428 [NASA ADS] [CrossRef] [Google Scholar]
  34. Nestoras, I., Fuhrmann, L., Angelakis, E., et al. 2016, A&A, submitted [Google Scholar]
  35. O’Sullivan, S. P., & Gabuzda, D. C. 2009, MNRAS, 400, 26 [NASA ADS] [CrossRef] [Google Scholar]
  36. Pedregosa, F., Varoquaux, G., Gramfort, A., et al. 2011, J. Machine Learning Res., 12, 2825 [Google Scholar]
  37. Peterson, B. M., Wanders, I., Horne, K., et al. 1998, PASP, 110, 660 [NASA ADS] [CrossRef] [Google Scholar]
  38. Pushkarev, A. B., Hovatta, T., Kovalev, Y. Y., et al. 2012, A&A, 545, A113 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  39. Raiteri, C. M., Villata, M., Tosti, G., et al. 2003, A&A, 402, 151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  40. Ramakrishnan, V., Hovatta, T., Nieppola, E., et al. 2015, MNRAS, 452, 1280 [CrossRef] [Google Scholar]
  41. Rasmussen, C. E., & Williams, C. K. I. 2006, Gaussian Processes for Machine Learning (The MIT Press) [Google Scholar]
  42. Richards, J. L., Max-Moerbeck, W., Pavlidou, V., et al. 2011, ApJS, 194, 29 [NASA ADS] [CrossRef] [Google Scholar]
  43. Roberts, S., Osborne, M., Ebden, M., et al. 2012, Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 371 [Google Scholar]
  44. Robertson, D. R. S., Gallo, L. C., Zoghbi, A., & Fabian, A. C. 2015, MNRAS, 453, 3455 [NASA ADS] [Google Scholar]
  45. Sokolovsky, K. V., Kovalev, Y. Y., Pushkarev, A. B., Mimica, P., & Perucho, M. 2011, A&A, 535, A24 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  46. Spada, M., Ghisellini, G., Lazzati, D., & Celotti, A. 2001, MNRAS, 325, 1559 [NASA ADS] [CrossRef] [Google Scholar]
  47. Valtaoja, E., Terasranta, H., Urpo, S., et al. 1992, A&A, 254, 71 [NASA ADS] [Google Scholar]
  48. van der Laan, H. 1966, Nature, 211, 1131 [NASA ADS] [CrossRef] [Google Scholar]
  49. Williams, C. K. I., & Rasmussen, C. E. 1996, in Advances in Neural Information Processing Systems 8, eds. D. S. Touretzky, M. C. Mozer, & M. E. Hasselmo (MIT Press) [Google Scholar]

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