Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CNNs for enhanced background discrimination in DSNB searches in
  large-scale water-Gd detectors   Gadolinium-loading of large water Cherenkov detectors is a prime method for
the detection of the Diffuse Supernova Neutrino Background (DSNB). While the
enhanced neutron tagging capability greatly reduces single-event backgrounds,
correlated events mimicking the IBD coincidence signature remain a potentially
harmful background. Neutral-Current (NC) interactions of atmospheric neutrinos
potentially dominate the DSNB signal especially in the low-energy range of the
observation window that reaches from about 12 to 30 MeV.
  The present paper investigates a novel method for the discrimination of this
background. Convolutional Neural Networks (CNNs) offer the possibility for a
direct analysis and classification of the PMT hit patterns of the prompt
events. Based on the events generated in a simplified SuperKamiokande-like
detector setup, we find that a trained CNN can maintain a signal efficiency of
96 % while reducing the residual NC background to 2 % of the original rate.
Comparing to recent predictions of the DSNB signal and measurements of the NC
background levels in Super-Kamiokande, the corresponding signal-to-background
ratio is about 4:1, providing excellent conditions for a DSNB discovery.

20
The categories of this paper are: acc-phys
10
The categories of this paper are: q-bio
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
36
The categories of this paper are: cmp-lg