Singular value decomposition of adjoint flux distributions for Monte Carlo variance reduction

•New method reduces memory requirements of weight windows and biased sources.•Method uses singular value decomposition to compress adjoint flux distributions.•Order of magnitude memory savings achieved without significant performance penalty.•Demonstrated on the Westinghouse AP1000 and the Joint European Torus.