4 papers
Simulation-based inference of dynamical galaxy cluster masses with 3D convolutional neural networks
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 dis…
Dynamical mass inference of galaxy clusters with neural flows
Doogesh Kodi Ramanah, Radosław Wojtak, Zoe Ansari +2
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…
Super-resolution emulator of cosmological simulations using deep physical models
Doogesh Kodi Ramanah, Tom Charnock, Francisco Villaescusa-Navarro +1
We present an extension of our recently developed Wasserstein optimized model to emulate accurate high-resolution features from computationally cheaper low-resolution cosmological…
Wiener filtering and pure E/B decomposition of CMB maps with anisotropic correlated noise
Doogesh Kodi Ramanah, Guilhem Lavaux, Benjamin D. Wandelt
We present an augmented version of our dual messenger algorithm for spin field reconstruction on the sphere, while accounting for highly non-trivial and realistic noise models such…