4 papers
Multiscale feature integration network for inpainting of full-sky CMB -modes
Reyhan D. Lambaga, Vipin Sudevan, Pisin Chen
Foreground masking and incomplete sky coverage complicate CMB polarization analyses by inducing mode coupling and imperfect E/B separation, with particularly strong impact on searc…
PUREPath-B: A Tessellated Bayesian Model for Recovering CMB B-modes over Large Angular Scales of the Sky
Vipin Sudevan, Pisin Chen
We introduce a comprehensive, custom-developed neural network, the PUREPath-B, that yields a posterior predictive distribution of Cosmic Microwave Background (CMB) B-mode signal co…
Introducing a multiscale feature integration network for inpainting with applications to enhanced CMB map reconstruction
Reyhan D. Lambaga, Vipin Sudevan, Pisin Chen
We introduce a novel neural network, SkyReconNet, which combines the expanded receptive fields of dilated convolutional layers along with standard convolutions, to capture both the…
PUREPath: A Deep Latent Variational Model for Estimating CMB Posterior over Large Angular Scales of the Sky
Vipin Sudevan, Pisin Chen
We present a comprehensive neural architecture, the PUREPath, which leverages a nested Probabilistic multi-modal U- Net framework, augmented by the inclusion of probabilistic ResNe…