Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Application of neural networks to classification of data of the TUS
  orbital telescope   We employ neural networks for classification of data of the TUS fluorescence
telescope, the world's first orbital detector of ultra-high energy cosmic rays.
We focus on two particular types of signals in the TUS data: track-like flashes
produced by cosmic ray hits of the photodetector and flashes that originated
from distant lightnings. We demonstrate that even simple neural networks
combined with certain conventional methods of data analysis can be highly
effective in tasks of classification of data of fluorescence telescopes.

0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
12
The categories of this paper are: nucl-th
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
10
The categories of this paper are: q-bio
23
The categories of this paper are: solv-int