Unfolding by weighting Monte Carlo events
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A new method to unfold experimental event distributions is presented. Monte Carlo simulated events are weighted iteratively in such a way that the distribution of the undistorted variables of the simulated events approximates the undistorted experimental distribution. The method is binning free, applicable to multivariate problems and easy to use. It is illustrated with a simple example and compared to a least square method with regularization.
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