3 code implementations • 30 Nov 2017 • D. Mudd, P. Martini, Y. Zu, C. Kochanek, B. Peterson, R. Kessler, T. M. Davis, J. Hoorman, A. King, C. Lidman, N. Sommer, B. E. Tucker, J. Asorey, S. Hinton, K. Glazebrook, K. Kuehn, G. Lewis, E. Macaulay, A. Moller, C. O'Neill, B. Zhang, T. M. C. Abbott, F. B. Abdalla, S. Allam, M. Banerji, A. Benoit-Levy, E. Bertin, A. Carnero Rosell, D. Carollo, M. Carrasco Kind, J. Carretero, C. E. Cunha, C. B. D'Andrea, L. N. da Costa, C. Davis, S. Desai, P. Doel, P. Fosalba, J. Garcia-Bellido, E. Gaztanaga, D. W. Gerdes, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutierrez, W. G. Hartley, K. Honscheid, D. J. James, S. Kuhlmann, N. Kuropatkin, M. Lima, M. A. G. Maia, J. L. Marshall, R. G. McMahon, F. Menanteau, R. Miquel, A. A. Plazas, A. K. Romer, E. Sanchez, R. Schindler, M. Schubnell, M. Smith, R. C. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E. C. Swanson, G. Tarle, D. Thomas, D. L. Tucker, A. R. Walker, The DES Collaboration
Given our large uncertainties, our measurements are also consistent with disk size measurements from gravitational microlensing studies of strongly lensed quasars, as well as other photometric reverberation mapping results, that find disk sizes that are a factor of a few ($\sim$3) larger than predictions.
Astrophysics of Galaxies
no code implementations • 27 Sep 2022 • S. A. Reddy, C. Forsyth, A. Aruliah, A. Smith, J. Bortnik, E. Aa, D. O. Kataria, G. Lewis
In this study we present AI Prediction of Equatorial Plasma Bubbles (APE), a machine learning model that can accurately predict the Ionospheric Bubble Index (IBI) on the Swarm spacecraft.