Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Numerical analysis of neutrino physics within a high scale supersymmetry
  model via machine learning   A machine learning method is applied to analyze lepton mass matrices
numerically. The matrices were obtained within a framework of high scale SUSY
and a flavor symmetry, which are too complicated to be solved analytically. In
this numerical calculation, the heuristic method in machine learning is
adopted. Neutrino masses, mixings, and CP violation are obtained. It is found
that neutrinos are normally ordered and the favorable effective Majorana mass
is about $7\times 10^{-3}$ eV.

37
The categories of this paper are: supr-con
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
25
The categories of this paper are: patt-sol
32
The categories of this paper are: atom-ph
13
The categories of this paper are: quant-ph
33
The categories of this paper are: plasm-ph
5
The categories of this paper are: gr-qc
6
The categories of this paper are: astro-ph
4
The categories of this paper are: cond-mat
35
The categories of this paper are: mtrl-th
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
28
The categories of this paper are: alg-geom