Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Effect of strong magnetic fields on the crust-core transition and inner
  crust of neutron stars   The Vlasov equation is used to determine the dispersion relation for the
eigenmodes of magnetized nuclear and neutral stellar matter, taking into
account the anomalous magnetic moment of nucleons. The formalism is applied to
the determination of the dynamical spinodal section, a quantity that gives a
good estimation of the crust-core transition in neutron stars. We study the
effect of strong magnetic fields, of the order of $10^{15}-10^{17}$ G, on the
extension of the crust of magnetized neutron stars. The dynamical instability
region of neutron-proton-electron ($npe$) matter at subsaturation densities is
determined within a relativistic mean field model. It is shown that a strong
magnetic field has a large effect on the instability region, defining the
crust-core transition as a succession of stable and unstable regions due to the
opening of new Landau levels. The effect of the anomalous magnetic moment is
non-negligible for fields larger than 10$^{15}$ G. The complexity of the crust
at the transition to the core and the increase of the crust thickness may have
direct impact on the properties of neutrons stars related with the crust.

17
The categories of this paper are: q-fin
18
The categories of this paper are: econ
19
The categories of this paper are: eess
29
The categories of this paper are: funct-an
36
The categories of this paper are: cmp-lg
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
1
The categories of this paper are: cs
2
The categories of this paper are: math
30
The categories of this paper are: q-alg
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
22
The categories of this paper are: chao-dyn
8
The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an