Doogesh Kodi Ramanah
PostDoc
NBB, Tower G
Jagtvej 128
DK-2100 Copenhagen
Email: ramanah@nbi.ku.dk
Research fields & projects:
-Bayesian physical forward modelling of cosmic large-scale structures
-Machine learning for cosmological simulations
-AI-driven spatial-time domain classification of gravitationally lensed supernovae
-Dynamical mass inference of galaxy clusters with deep learning
-Statistical analysis of large & complex data sets for cosmological inference
Selected publications:
"Simulation-based inference of dynamical galaxy cluster masses with 3D convolutional neural networks,'' D. Kodi Ramanah, R. Wojtak, N. Arendse, MNRAS, 2020
"Dynamical mass inference of galaxy clusters with neural flows,'' D. Kodi Ramanah, R. Wojtak, Z. Ansari, C. Gall, J. Hjorth, MNRAS, 2020
"Super-resolution emulator of cosmological simulations using deep physical models,'' D. Kodi Ramanah, T. Charnock, F. Villaescusa-Navarro, B. D. Wandelt, MNRAS, 2020
"Painting halos from cosmic density fields of dark matter with physically motivated neural networks,'' D. Kodi Ramanah, T. Charnock, G. Lavaux, PRD, 2019
"Cosmological inference from Bayesian forward modelling of deep galaxy redshift surveys,'' D. Kodi Ramanah, G. Lavaux, J. Jasche, B. D. Wandelt, A&A, 2019