Zanisi, L., Huertas-Company, M., Lanusse, F., Bottrell, C., Pillepich, A., Nelson, D., . . . Primack, J. R. (2021). A deep learning approach to test the small-scale galaxy morphology and its relationship with star formation activity in hydrodynamical simulations. Monthly notices of the Royal Astronomical Society, 501(3), . https://doi.org/10.1093/mnras/staa3864
Chicago-Zitierstil (17. Ausg.)Zanisi, Lorenzo, et al. "A Deep Learning Approach to Test the Small-scale Galaxy Morphology and Its Relationship with Star Formation Activity in Hydrodynamical Simulations." Monthly Notices of the Royal Astronomical Society 501, no. 3 (2021). https://doi.org/10.1093/mnras/staa3864.
MLA-Zitierstil (9. Ausg.)Zanisi, Lorenzo, et al. "A Deep Learning Approach to Test the Small-scale Galaxy Morphology and Its Relationship with Star Formation Activity in Hydrodynamical Simulations." Monthly Notices of the Royal Astronomical Society, vol. 501, no. 3, 2021, https://doi.org/10.1093/mnras/staa3864.