Pradyumna Sadhu

Contact me via email: psadh003 (AT) ucr.edu

PhD Candidate in Dept. of Physics and Astronomy at University of California, Riverside.

Prady

About me

I am currently working with Prof. Laura Sales to understand the nature of dark matter and galaxy formation using dwarf galaxies as probes. I use multiple theoretical techniques such as cosmological simulations, empirical models, analytic models and zoom-in simulations to study environmental processing of the faint galaxies in our Universe and to make observational predictions for Rubin, Roman, and upcoming wide-field high-sensitivity telescopes. I also involve machine learning techniques to build informed supernova feedback models, paving way for next generation simulations.

For a more complete account of my research, including earlier work, see all about my research

preds

This plot taken from my first published work at UC Riverside shows the inner 300 kpc region of a 100 kpc thick slice of one of the galaxy clusters taken from IllustrisTNG simulation. Left panel: The dwarf galaxies as predicted by the simulation. Center and right panels show galaxies which have been lost in the simulation because of lack of sufficient resolution, and look how many! We use two abundance matching relations to populate the dark subhalos of the simulation: (i) Power law (center) and (ii) Cutoff (right), because we do not fully understand yet how stars populate dark subhalos in the low mass regime.