Statistical theory of thermal evolution of neutron stars
M. V. Beznogov, D. G. Yakovlev

TL;DR
This paper develops a statistical framework to analyze the thermal evolution of neutron stars, using simulations and observational data to infer properties of superdense matter and star mass distributions.
Contribution
It introduces a novel statistical method combining simulations and observational data to study neutron star thermal evolution and core properties.
Findings
Observations are consistent with the presence of direct Urca neutrino emission in massive neutron stars.
The method can infer mass distributions of neutron stars from thermal data.
Broadening of the direct Urca threshold improves model fit to observations.
Abstract
Thermal evolution of neutron stars is known to depend on the properties of superdense matter in neutron star cores. We suggest a statistical analysis of isolated cooling middle-aged neutron stars and old transiently accreting quasi-stationary neutron stars warmed up by deep crustal heating in low-mass X-ray binaries. The method is based on simulations of the evolution of stars of different masses and on averaging the results over respective mass distributions. This gives theoretical distributions of isolated neutron stars in the surface temperature--age plane and of accreting stars in the photon thermal luminosity--mean mass accretion rate plane to be compared with observations. This approach permits to explore not only superdense matter but also the mass distributions of isolated and accreting neutron stars. We show that the observations of these stars can be reasonably well explained…
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