Hani, Maan H

Deep learning predictions of galaxy merger stage and the importance of observational realism

Bottrell, C., Hani, M. H., Teimoorinia, H., Ellison, S. L., Moreno, J., Torrey, P., Hayward, C. C., Thorp, M., Simard, L., & Hernquist, L. (2019) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 113

Convolutional neural network identification of galaxy post-mergers in UNIONS using IllustrisTNG

Bickley, R. W., Bottrell, C., Hani, M. H., Ellison, S. L., Teimoorinia, H., Yi, K. M., Wilkinson, S., Gwyn, S., & Hudson, M. J. (2021) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAdvanced Neural Network Applications

Cited by 84

The diversity of the circumgalactic medium around z = 0 Milky Way-mass galaxies from the Auriga simulations

Hani, M. H., Ellison, S. L., Sparre, M., Grand, R. J. J., Pakmor, R., Gomez, F. A., & Springel, V. (2019) · Monthly Notices of the Royal Astronomical Society

Galaxies: Formation, Evolution, PhenomenaAstrophysics and Star Formation Studies

Cited by 20