19 citations · 42 across the 11 of their papers we have counts for
11 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…
A Partial-Sky Gibbs ILC Approach for the Estimation of CMB Posterior over Large Angular Scales of the Sky
Vipin Sudevan, Ujjal Purkayastha, Rajib Saha
In this article we present a formalism to incorporate the partial-sky maps to the Gibbs ILC algorithm to estimate the joint posterior density of the Cosmic Microwave Background (CM…
A Foreground Model Independent Estimation of Joint Posterior of CMB E mode Polarization over Large Angular Scales
Ujjal Purkayastha, Vipin Sudevan, Rajib Saha
Ever since Cosmic Microwave Background (CMB) signal is being measured by various satellites based observations with increasing experimental accuracies there has been a parallel inc…
An Accurate Reconstruction of CMB E Mode Signal over Large Angular Scales using Prior Information of CMB Covariance Matrix in ILC Algorithm
Ujjal Purkayastha, Vipin Sudevan, Rajib Saha
In the recent years, the internal-linear-combination (ILC) method was investigated extensively in the context of reconstruction of Cosmic Microwave Background (CMB) temperature ani…
On the Impact of Random Residual Calibration Error on the Gibbs ILC Estimates over Large Angular Scales
Vipin Sudevan, Rajib Saha
Residual error in calibration coefficients corresponding to observed CMB maps is an important issue while estimating a pure CMB signal. A component separation method, if these erro…
An Application of Global ILC Algorithm over Large Angular Scales to Estimate CMB Posterior Using Gibbs Sampling
Vipin Sudevan, Rajib Saha
In this work, we formalize a new technique to investigate joint posterior density of Cosmic Microwave Background (CMB) signal and its theoretical angular power spectrum given the o…
A Global ILC Approach in Pixel Space over Large Angular Scales of the Sky using CMB Covariance Matrix
Vipin Sudevan, Rajib Saha
We propose a new internal linear combination (ILC) method in the pixel space, applicable on large angular scales of the sky, to estimate a foreground minimized Cosmic Microwave Bac…
An Improved Diffuse Foreground Subtraction by ILC method: CMB Map and Angular Power Spectrum using Planck and WMAP Observations
Vipin Sudevan, Pavan K. Aluri, Sarvesh Kumar Yadav +2
We report an improved technique for diffuse foreground minimization from Cosmic Microwave Background (CMB) maps using a new multi-phase iterative internal-linear-combination (ILC)…