Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Identification of hadronic tau lepton decays using a deep neural network   A new algorithm is presented to discriminate reconstructed hadronic decays of
tau leptons ($\tau_\mathrm{h}$) that originate from genuine tau leptons in the
CMS detector against $\tau_\mathrm{h}$ candidates that originate from quark or
gluon jets, electrons, or muons. The algorithm inputs information from all
reconstructed particles in the vicinity of a $\tau_\mathrm{h}$ candidate and
employs a deep neural network with convolutional layers to efficiently process
the inputs. This algorithm leads to a significantly improved performance
compared with the previously used one. For example, the efficiency for a
genuine $\tau_\mathrm{h}$ to pass the discriminator against jets increases by
10-30% for a given efficiency for quark and gluon jets. Furthermore, a more
efficient $\tau_\mathrm{h}$ reconstruction is introduced that incorporates
additional hadronic decay modes. The superior performance of the new algorithm
to discriminate against jets, electrons, and muons and the improved
$\tau_\mathrm{h}$ reconstruction method are validated with LHC proton-proton
collision data at $\sqrt{s}$ = 13 TeV.

36
The categories of this paper are: cmp-lg
6
The categories of this paper are: astro-ph
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
33
The categories of this paper are: plasm-ph
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
1
The categories of this paper are: cs
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
31
The categories of this paper are: ao-sci