1 code implementation • 7 Sep 2020 • Doogesh Kodi Ramanah, Radosław Wojtak, Nikki Arendse
We present a simulation-based inference framework using a convolutional neural network to infer dynamical masses of galaxy clusters from their observed 3D projected phase-space distribution, which consists of the projected galaxy positions in the sky and their line-of-sight velocities.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
1 code implementation • 17 Sep 2019 • Nikki Arendse, Radosław J. Wojtak, Adriano Agnello, Geoff C. -F. Chen, Christopher D. Fassnacht, Dominique Sluse, Stefan Hilbert, Martin Millon, Vivien Bonvin, Kenneth C. Wong, Frédéric Courbin, Sherry H. Suyu, Simon Birrer, Tommaso Treu, Leon V. E. Koopmans
Results from time-delay lenses are consistent with those from distance-ladder calibrations and point to a discrepancy between absolute distance scales measured from the CMB (assuming the standard cosmological model) and late-time observations.
Cosmology and Nongalactic Astrophysics
