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arXiv · 1912.11365

Impact of statistical uncertainties on the composition of the outer crust of a neutron star

A. Pastore·D. Neill·H. Powell·K. Medler·C. Barton
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Abstract

By means of Monte Carlo methods, we perform a full error analysis on the Duflo-Zucker mass model. In particular, we study the presence of correlations in the residuals to obtain a more realistic estimate of the error bars on the predicted binding energies. To further reduce the discrepancies between model prediction and experimental data we also apply a Multilayer Perceptron Neural Network. We show that the root mean square of the model further reduces of roughly 40\%. We then use the resulting models to predict the composition of the outer crust of a non accreting neutron star. We provide a first estimate of the impact of error propagation on the resulting equation of state of the system.

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A. Pastore, D. Neill, H. Powell, K. Medler, C. Barton. 2019-12-24. Impact of statistical uncertainties on the composition of the outer crust of a neutron star. https://doi.org/10.1103/physrevc.101.035804

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