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2010

Combining subjet algorithms to enhance ZH detection at the LHC

Soper, Davison E., Spannowsky, Michael

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The signal for a highly boosted heavy resonance competing against a background of light parton jets at the LHC can be enhanced by analyzing subjets in the "fat" jet that possibly contains the heavy resonance.

Three methods for doing this are known as filtering, pruning, and trimming.
We study the possibility of combining these methods using a relative likelihood approach.
We find that, because the methods are not the same, one achieves an enhanced statistical power by combining them.

Combining subjet algorithms to enhance ZH detection at the LHC · Around

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