Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An artificial neural network based $b$ jet identification algorithm at
  the CDF Experiment   We present the development and validation of a new multivariate $b$ jet
identification algorithm ("$b$ tagger") used at the CDF experiment at the
Fermilab Tevatron. At collider experiments, $b$ taggers allow one to
distinguish particle jets containing $B$ hadrons from other jets. Employing
feed-forward neural network architectures, this tagger is unique in its
emphasis on using information from individual tracks. This tagger not only
contains the usual advantages of a multivariate technique such as maximal use
of information in a jet and tunable purity/efficiency operating points, but is
also capable of evaluating jets with only a single track. To demonstrate the
effectiveness of the tagger, we employ a novel method wherein we calculate the
false tag rate and tag efficiency as a function of the placement of a lower
threshold on a jet's neural network output value in $Z+1$ jet and $t\bar{t}$
candidate samples, rich in light flavor and $b$ jets, respectively.

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The categories of this paper are: atom-ph
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The categories of this paper are: astro-ph
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The categories of this paper are: eess
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The categories of this paper are: q-alg
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The categories of this paper are: ao-sci
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The categories of this paper are: mtrl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: stat
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The categories of this paper are: plasm-ph
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The categories of this paper are: funct-an
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The categories of this paper are: adap-org
12
The categories of this paper are: nucl-th
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The categories of this paper are: math-ph
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The categories of this paper are: nlin
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The categories of this paper are: q-fin
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The categories of this paper are: comp-gas