Machine learning Minkoswki functionals of neutron star crusts

JA Lopez and JA Munoz and CO Dorso and GA Frank, 27TH INTERNATIONAL NUCLEAR PHYSICS CONFERENCE (INPC2019), 1643, 012054 (2020).

DOI: 10.1088/1742-6596/1643/1/012054

We study the structures attained by neutron star matter with proton to neutron ratios ranging from x = 0.05 to 0.5, densities in the range of 0.04 fm(-3) < rho < 0.08 fm(-3), and temperatures T < 4 MeV. In particular, since the Minkoswki functionals are related to the morphology of the the pasta shapes, we study their variation at those densities, temperatures and proton contents using machine learning technology.

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