4.7 Article

Three-dimensional modelling of accretion columns: spatial asymmetry and self-consistent simulations

Journal

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
Volume 501, Issue 1, Pages 564-575

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/mnras/staa3560

Keywords

accretion; radiation: dynamics; radiative transfer; scattering; shock waves; X-rays: binaries

Funding

  1. RFBR [18-32-00890]
  2. Foundation for the Advancement of Theoretical Physics and Mathematics 'BASIS' [17-15-506-1]

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This paper presents the results of 3D modeling of accretion columns on strongly magnetized neutron stars, studying the changes in column structure and X-ray continuum shape depending on physical parameters. Multiple 3D models of accretion columns were constructed based on numerical simulations, revealing distributions of radiation flux and investigating non-axially symmetric sidewalls. The study also included self-consistent modeling of spectral radiative transfer and two-dimensional spatial structure, considering both thermal and bulk Comptonization.
The paper presents the results of three-dimensional (3D) modelling of the structure and the emission of accretion columns formed above the surface of accreting strongly magnetized neutron stars under the circumstances when a pressure of the photons generated in the column base is enough to determine the dynamics of the plasma flow. On the foundation of numerical radiation hydrodynamic simulations, several 3D models of accretion column are constructed. The first group of the models contains spatially 3D columns. The corresponding calculations lead to the distributions of the radiation flux over the sidewalls of the columns which are not characterized by axial symmetry. The second group includes the self-consistent modelling of spectral radiative transfer and two-dimensional spatial structure of the column, with both thermal and bulk Comptonization taken into account. The changes in the structure of the column and the shape of X-ray continuum are investigated depending on physical parameters of the model.

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