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
no code implementations • 12 Mar 2020 • Doogesh Kodi Ramanah, Radosław Wojtak, Zoe Ansari, Christa Gall, Jens Hjorth
We present an algorithm for inferring the dynamical mass of galaxy clusters directly from their respective phase-space distributions, i. e. the observed line-of-sight velocities and projected distances of galaxies from the cluster centre.
Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
1 code implementation • 15 Jan 2020 • Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro, Benjamin D. Wandelt
We present an extension of our recently developed Wasserstein optimized model to emulate accurate high-resolution features from computationally cheaper low-resolution cosmological simulations.
Cosmology and Nongalactic Astrophysics
3 code implementations • 11 Sep 2019 • Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel
The Quijote simulations are a set of 44, 100 full N-body simulations spanning more than 7, 000 cosmological models in the $\{\Omega_{\rm m}, \Omega_{\rm b}, h, n_s, \sigma_8, M_\nu, w \}$ hyperplane.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
1 code implementation • 25 Mar 2019 • Doogesh Kodi Ramanah, Tom Charnock, Guilhem Lavaux
We present a novel halo painting network that learns to map approximate 3D dark matter fields to realistic halo distributions.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
