Blind map level systematics cleaning: a quadratic estimator approach

We present the first detailed case study using quadratic estimators (QE) to diagnose and remove systematics in observed Cosmic Microwave Background (CMB) maps. In this work we focus on temperature polarization leakage. use an iterative QE analysis systematics, analogy de-lensing, recovering primordial B-mode signal systematic introduce a new Gaussian filtering scheme crucial stable convergence of cleaning procedure validate with comparisons semi-analytical forecasts. limitations method by examining its performance both idealized simulations more realistic, non-ideal simulations, where assume varying de-lensing efficiencies. Finally, quantify efficiency presenting likelihood tensor scalar ratio, $r$, demonstrate that blind results un-biased measurement reducing induced power nearly two orders magnitude.