Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Search for Galaxy Cluster Candidates in the Cosmic Microwave Background
  Maps of the Planck Space Mission Using a Convolutional Neural Network Based
  on the Method of Tracing the Sunyaev-Zeldovich Effect   We propose a method of searching for radio sources exhibiting the
Sunyaev-Zeldovich effect in the multi-frequency emission maps from the Planck
mission data using a convolutional neural network. A catalog for recognizing
radio sources is compiled using the GLESP pixelation scheme at the frequencies
of 100, 143, 217, 353, and 545 GHz. The quality of the proposed approach is
evaluated and the quality of the dependence of model data on the S/N ratio is
estimated. We show that the presented neural network approach allows the
detection of sources with the Sunyaev-Zeldovich effect. The proposed method can
be used to find the most likely galaxy cluster candidates at large redshifts.

23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
19
The categories of this paper are: eess
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
18
The categories of this paper are: econ
31
The categories of this paper are: ao-sci
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
0
The categories of this paper are: hep-ph
22
The categories of this paper are: chao-dyn
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an