Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Jet Substructure Templates: Data-driven QCD Backgrounds for Fat Jet
  Searches   QCD is often the dominant background to new physics searches for which jet
substructure provides a useful handle. Due to the challenges associated with
modeling this background, data-driven approaches are necessary. This paper
presents a novel method for determining QCD predictions using templates --
probability distribution functions for jet substructure properties as a
function of kinematic inputs. Templates can be extracted from a control region
and then used to compute background distributions in the signal region. Using
Monte Carlo, we illustrate the procedure with two case studies and show that
the template approach effectively models the relevant QCD background. This work
strongly motivates the application of these techniques to LHC data.

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The categories of this paper are: nucl-ex
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The categories of this paper are: chem-ph
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The categories of this paper are: cmp-lg
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-th
2
The categories of this paper are: math
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The categories of this paper are: q-fin
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The categories of this paper are: atom-ph
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The categories of this paper are: q-alg
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: astro-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: cs
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The categories of this paper are: dg-ga
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The categories of this paper are: gr-qc