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Home All issues Volume 642 (October 2020) A&A, 642 (2020) A78 References
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Issue
A&A
Volume 642, October 2020
Article Number A78
Number of page(s) 8
Section Stellar structure and evolution
DOI https://doi.org/10.1051/0004-6361/202038130
Published online 07 October 2020
  1. Abadi, M., Agarwal, A., Barham, P., et al. 2015, TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems, Software available from: https://tensorflow.org [Google Scholar]
  2. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2017a, Phys. Rev. Lett., 119, 161101 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  3. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2017b, ApJ, 848, L13 [NASA ADS] [CrossRef] [Google Scholar]
  4. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2018, Phys. Rev. Lett., 121, 161101 [Google Scholar]
  5. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2019, Phys. Rev. X, 9, 011001 [Google Scholar]
  6. Abbott, B. P., Abbott, R., Abbott, T. D., et al. 2020, ApJ, 892, L3 [Google Scholar]
  7. Akmal, A., Pandharipande, V. R., & Ravenhall, D. G. 1998, Phys. Rev. C, 58, 1804 [NASA ADS] [CrossRef] [Google Scholar]
  8. Alsing, J., Silva, H. O., & Berti, E. 2018, MNRAS, 478, 1377 [NASA ADS] [CrossRef] [Google Scholar]
  9. Antoniadis, J., Freire, P. C. C., Wex, N., et al. 2013, Science, 340, 448 [Google Scholar]
  10. Chetlur, S., Woolley, C., Vandermersch, P., et al. 2014, ArXiv e-prints [arXiv:1410.0759] [Google Scholar]
  11. Chodos, A., Jaffe, R. L., Johnson, K., Thorn, C. B., & Weisskopf, V. F. 1974, Phys. Rev. D, 9, 3471 [NASA ADS] [CrossRef] [EDP Sciences] [MathSciNet] [Google Scholar]
  12. Chollet, F., et al. 2015, Keras, https://keras.io [Google Scholar]
  13. Cromartie, H. T., Fonseca, E., Ransom, S. M., et al. 2020, Nat. Astron., 4, 72 [NASA ADS] [CrossRef] [Google Scholar]
  14. De, S., Finstad, D., Lattimer, J. M., et al. 2018, Phys. Rev. Lett., 121, 091102 [Google Scholar]
  15. Demorest, P., Pennucci, T., Ransom, S., Roberts, M., & Hessels, J. 2010, Nature, 467, 1081 [NASA ADS] [CrossRef] [PubMed] [Google Scholar]
  16. Douchin, F., & Haensel, P. 2001, A&A, 380, 151 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  17. Fasano, M., Abdelsalhin, T., Maselli, A., & Ferrari, V. 2019, Phys. Rev. Lett., 123, 141101 [NASA ADS] [CrossRef] [Google Scholar]
  18. Ferreira, M., & Providência, C. 2019, ArXiv e-prints [arXiv:1910.05554] [Google Scholar]
  19. Flanagan, E. E., & Hinderer, T. 2008, Phys. Rev. D, 77, 021502 [NASA ADS] [CrossRef] [Google Scholar]
  20. Fonseca, E., Pennucci, T. T., Ellis, J. A., et al. 2016, ApJ, 832, 167 [Google Scholar]
  21. Fujimoto, Y., Fukushima, K., & Murase, K. 2018, Phys. Rev. D, 98, 023019 [NASA ADS] [CrossRef] [Google Scholar]
  22. Fujimoto, Y., Fukushima, K., & Murase, K. 2020, Phys. Rev. D, 101, 054016 [CrossRef] [Google Scholar]
  23. Goodfellow, I., Bengio, Y., & Courville, A. 2016, Deep Learning (The MIT Press) [Google Scholar]
  24. Goriely, S., Chamel, N., & Pearson, J. M. 2010, Phys. Rev. C, 82, 035804 [NASA ADS] [CrossRef] [Google Scholar]
  25. Haegel, L., & Husa, S. 2019, CQG, 37, 135005 [Google Scholar]
  26. Haensel, P., & Pichon, B. 1994, A&A, 283, 313 [NASA ADS] [Google Scholar]
  27. Haensel, P., Potekhin, A. Y., & Yakovlev, D. G. 2007, Neutron Stars 1 : Equation of State and Structure (New York, USA: Springer), 326, 1 [NASA ADS] [Google Scholar]
  28. Hernandez Vivanco, F., Smith, R., Thrane, E., et al. 2019, Phys. Rev. D, 100, 103009 [NASA ADS] [CrossRef] [Google Scholar]
  29. Hinton, G. E., & Zemel, R. S. 1993, Proceedings of the 6th International Conference on Neural Information Processing Systems, NIPS’93 (San Francisco, CA, USA: Morgan Kaufmann Publishers Inc.), 3 [Google Scholar]
  30. Holt, J. W., & Lim, Y. 2019, AIP Conf. Proc., 2127, 020019 [CrossRef] [Google Scholar]
  31. Kingma, D. P., & Ba, J. 2014, ArXiv e-prints [arXiv:1412.6980] [Google Scholar]
  32. Kramer, M. A. 1991, AIChE J., 37, 233 [CrossRef] [Google Scholar]
  33. Love, A. E. H. 1911, Some Problems of Geodynamics (Cambridge Univ. Press) [Google Scholar]
  34. Maggiore, M., Van Den Broeck, C., Bartolo, N., et al. 2020, J. Cosmol. Astropart. Phys., 2020, 050 [CrossRef] [Google Scholar]
  35. Miller, M. C., Lamb, F. K., Dittmann, A. J., et al. 2019, ApJ, 887, L24 [Google Scholar]
  36. Nickolls, J., Buck, I., Garland, M., & Skadron, K. 2008, Queue, 6, 40 [CrossRef] [Google Scholar]
  37. Oppenheimer, J. R., & Volkoff, G. M. 1939, Phys. Rev., 55, 374 [NASA ADS] [CrossRef] [Google Scholar]
  38. Press, W. H., Teukolsky, S. A., Vetterling, W. T., & Flannery, B. P. 1992, Numerical recipes in FORTRAN. The art of scientific computing, 2nd edn. (Cambridge University Press) [Google Scholar]
  39. Raithel, C. A., Özel, F., & Psaltis, D. 2016, ApJ, 831, 44 [NASA ADS] [CrossRef] [Google Scholar]
  40. Riley, T. E., Watts, A. L., Bogdanov, S., et al. 2019, ApJ, 887, L21 [NASA ADS] [CrossRef] [Google Scholar]
  41. Samuel, A. L. 1959, IBM J. Res. Dev., 3, 210 [CrossRef] [Google Scholar]
  42. Sieniawska, M., Turczański, W., Bejger, M., & Zdunik, J. L. 2019, A&A, 622, A174 [NASA ADS] [CrossRef] [EDP Sciences] [Google Scholar]
  43. Steiner, A. W., Lattimer, J. M., & Brown, E. F. 2010, ApJ, 722, 33 [Google Scholar]
  44. Steiner, A. W., Lattimer, J. M., & Brown, E. F. 2013, ApJ, 765, L5 [Google Scholar]
  45. Tolman, R. C. 1939, Phys. Rev., 55, 364 [NASA ADS] [CrossRef] [Google Scholar]
  46. Tooper, R. F. 1965, ApJ, 142, 1541 [NASA ADS] [CrossRef] [Google Scholar]
  47. Traversi, S., Char, P., & Pagliara, G. 2020, ApJ, 897, 165 [CrossRef] [Google Scholar]
  48. Van Oeveren, E. D., & Friedman, J. L. 2017, Phys. Rev. D, 95, 083014 [NASA ADS] [CrossRef] [Google Scholar]
  49. Wade, L., Creighton, J. D. E., Ochsner, E., et al. 2014, Phys. Rev. D, 89, 103012 [NASA ADS] [CrossRef] [Google Scholar]
  50. Zdunik, J. L. 2000, A&A, 359, 311 [NASA ADS] [Google Scholar]
  51. Zhang, N.-B., Qi, B., & Wang, S.-Y. 2020, Chinese Phys. C, 44, 064103 [NASA ADS] [CrossRef] [Google Scholar]

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