Primordial Power Spectrum reconstruction from CMB Weak Lensing Power Spectrum

Abstract We use the modified and improved Richardson-Lucy (IRL) deconvolution algorithm to reconstruct Primordial Power Spectrum (PPS) from Weak Lensing C L ϕϕ reconstructed CMB anisotropies. This provides an independent window observe constrain PPS P R ( k ) along different scales as compared Temperature Spectrum. The does not contain secondary variations in power hence is cleaner, unlike which suffers lensing must be addressed during reconstructions. demonstrate that physical behaviour of weak kernel unique reconstructs broad features over . provide in-depth analysis error propagation using simulated data Monte-Carlo sampling, Planck best-fit cosmological parameters simulate with cosmic variance limited bars. initial condition analyses a clear picture optimal reconstruction region for estimator while providing detailed statistical insight results. also sampling sparsity used based on given errors, optimize significance. Eventually we plan this method actual mission cross reference other sectors any possible them.