Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Machine Learning-based Energy Reconstruction for Water-Cherenkov
  detectors   Hyper-Kamiokande (Hyper-K) is a proposed next generation underground water
Cherenkov (WCh) experiment. The far detector will measure the oscillated
neutrino flux from the long-baseline neutrino experiment using 0.6 GeV
neutrinos produced by a 1.3 MW proton beam at J-PARC. It has a broad program of
physics and astrophysics mainly focusing on the precise measurement of the
lepton neutrino mixing matrix and the CP asymmetry. The unoscillated neutrino
flux will be measured by an intermediate WCh detector. One of the proposed
designs is the Tokai Intermediate Tank for the Unoscillated Spectrum (TITUS).
WCh detectors are instrumented with photomultipliers to detect the Cherenkov
light emitted from charged particles which are produced by neutrino
interactions. The detection of light is used to measure the energy, position
and direction of the charged particles. We propose machine learning-based
methods to reconstruct the energy of charged particles in WCh detectors and
present our results for the TITUS configuration.

13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
15
The categories of this paper are: nucl-ex
19
The categories of this paper are: eess
26
The categories of this paper are: bayes-an
27
The categories of this paper are: comp-gas
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
37
The categories of this paper are: supr-con