Current and Past Projects
Resolving Multi-Wavelength Backgrounds Through Cross-Correlations
My primary specialisation deals with unmasking the global nature of unresolved backgrounds at various wavelengths. I plan on achieving this through cross-correlations between the aforementioned backgrounds and tracers of large-scale structures, under the assumption that the components that cause the background emissions are hosted within the dark matter haloes, or originate as annihilation or decay from particle DM, which could provide significant constraints on various particle DM models.
Enhancing Data Inference Obtained Using Precision Matrices
Modelling precision matrices reliably is important when it comes to any observational endeavour in cosmology. One such method is Precision Matrix Expansion, provided by Friedrich and Eifler. I attempt to provide a theoretical estimate for a correction factor for this method, similar to that of the Dodelson-Schneider correction used in inverted precision matrices.
Using Machine Learning to Unravel the Unresolved Radio Background
The radio background from surveys such as EMU displays anomalous overdensities, which could be a manifestation of systematic noise or could point towards a strong localised gravitational potential. Through CNNs, we are attempting to figure out what causes these anomalies, and what they can tell us about our Universe.
Modelling Compact Stellar Objects Using Different Theories of Gravity
That the pressure components of compact stars such as white dwarves or neutron stars are isotropic, while being a solid assumption, need not be necessary. We therefore split the fluid pressure in compact stars into radial and tangential components, leading to anisotropic manifestations of compact sterllar objects. This pressure was then modelled analytically using both general relativity and f(R) gravity.