Abstract
A new algorithm designed to reduce the model dependence in future SUSY searches at the LHC is described. This algorithm can dynamically adapt itself to a wide range of possible SUSY final states thus reducing the need for detailed model-driven analysis. Preliminary study of its performance on simulated MSSM, GMSB and AMSB final states is described, and a comparison with traditional search procedures, whenever available, is performed.
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