1 code implementation • 16 Feb 2021 • Mike Walmsley, Chris Lintott, Tobias Geron, Sandor Kruk, Coleman Krawczyk, Kyle W. Willett, Steven Bamford, Lee S. Kelvin, Lucy Fortson, Yarin Gal, William Keel, Karen L. Masters, Vihang Mehta, Brooke D. Simmons, Rebecca Smethurst, Lewis Smith, Elisabeth M. Baeten, Christine Macmillan
All classifications are used to train an ensemble of Bayesian convolutional neural networks (a state-of-the-art deep learning method) to predict posteriors for the detailed morphology of all 314, 000 galaxies.
no code implementations • 5 Jan 2021 • Kate E. Furnell, Chris A. Collins, Lee S. Kelvin, Ivan K. Baldry, Phil A. James, Maria Manolopoulou, Robert G. Mann, Paul A. Giles, Alberto Bermeo, Matthew Hilton, Reese Wilkinson, A. Kathy Romer, Carlos Vergara, Sunayana Bhargava, John P. Stott, Julian Mayers, Pedro Viana
We find that the ICL makes up about $\sim$ 24% of the total cluster stellar mass on average ($\sim$ 41% including the flux contained in the BCG within 50 kpc); this value is well-matched with other observational studies and semi-analytic/numerical simulations, but is significantly smaller than results from recent hydrodynamical simulations (even when measured in an observationally consistent way).
Astrophysics of Galaxies
