activity
20162020
most citedThe effect on cosmological parameter estimation of a parameter dependent covariance matrix

43 citations · 72 across the 9 of their papers we have counts for

collaborators

9 papers

astro-ph.IM2020★ 13 cited

Inpainting CMB maps using Partial Convolutional Neural Networks

Gabriele Montefalcone, Maximilian H. Abitbol, Darsh Kodwani +1

We present a novel application of partial convolutional neural networks (PCNN) that can inpaint masked images of the cosmic microwave background. The network can reconstruct both t…

astro-ph.CO2020

Origin & evolution of the Universe

Darsh Kodwani

The aim of this thesis is to question some of the basic assumptions that go into building the CDM model of our universe. The assumptions we focus on are the initial conditions o…

astro-ph.CO2019★ 2 cited

Initial conditions of the universe: Decaying tensor modes

Darsh Kodwani, P. Daniel Meerburg, Ue-Li Pen +1

Many models of the early universe predict that there should be primordial tensor perturbations. These leave an imprint into the temperature and polarisation anisotropies of the cos…

astro-ph.CO2019★ 7 cited

Screened fifth forces in parity-breaking correlation functions

Darsh Kodwani, Harry Desmond

Cross-correlating two different types of galaxy gives rise to parity breaking in the correlation function that derives from differences in the galaxies' properties and environments…

astro-ph.CO2019★ 5 cited

Initial conditions of the universe: A sign of the sine mode

Darsh Kodwani, P. Daniel Meerburg, Ue-Li Pen +1

In the standard big bang model the universe starts in a radiation dominated era, where the gravitational perturbations are described by second order differential equations, which w…

astro-ph.CO2018★ 43 cited

The effect on cosmological parameter estimation of a parameter dependent covariance matrix

Darsh Kodwani, David Alonso, Pedro Ferreira

Cosmological large-scale structure analyses based on two-point correlation functions often assume a Gaussian likelihood function with a fixed covariance matrix. We study the impact…