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3D radiative transfer kilonova modelling for binary neutron star merger simulations

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arxiv 2209.05246 v2 pith:BQGYEC5I submitted 2022-09-12 astro-ph.HE

classification astro-ph.HE
keywords lightejectaat2017gfocurvesemissionfindneutronradiative
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The detection of GW170817 and the accompanying electromagnetic counterpart, AT2017gfo, have provided an important set of observational constraints for theoretical models of neutron star mergers, nucleosynthesis, and radiative transfer for kilonovae. We apply the 3D Monte Carlo radiative transfer code ARTIS to produce synthetic light curves of the dynamical ejecta from a neutron star merger, which has been modelled with 3D smooth-particle hydrodynamics (SPH) and included neutrino interactions. Nucleosynthesis calculations provide the energy released from radioactive decays of r-process nuclei, and radiation transport is performed using grey opacities given as functions of the electron fraction. We present line-of-sight dependent bolometric light curves, and find the emission along polar lines of sight to be up to a factor of ~2 brighter than along equatorial lines of sight. Instead of a distinct emission peak, our bolometric light curve exhibits a monotonic decline, characterised by a shoulder at the time when the bulk ejecta becomes optically thin. We show approximate band light curves based on radiation temperatures and compare these to the observations of AT2017gfo. We find that the rapidly declining temperatures lead to a blue to red colour evolution similar to that shown by AT2017gfo. We also investigate the impact of an additional, spherically symmetric secular ejecta component, and we find that the early light curve remains nearly unaffected, while after about 1 day the emission is strongly enhanced and dominated by the secular ejecta, leading to the shift of the shoulder from 1-2 to 6-10 days.

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Cited by 4 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. R-process heating implementation in hydrodynamic simulations with neural networks

    astro-ph.SR 2025-07 unverdicted novelty 7.0 of 10

    RHINE emulates r-process heating in NSM hydro simulations via neural networks trained on full nuclear trajectories, achieving <10% agreement with post-processing and boosting BH-torus ejecta mass by 40%.

  2. Black hole-neutron star binaries with high spins and large mass asymmetries: III. Properties of the ejected material and its electromagnetic signatures

    gr-qc 2026-07 conditional novelty 6.0 of 10

    High-spin, high-mass-ratio black hole–neutron star mergers eject 0.02–0.06 solar masses of neutron-rich (Y_e≈0.05) debris whose kilonovae are infrared-bright, optically dark, and match late-time AT2017gfo while stayin...

  3. Late-time emission-line profiles from kilonova models

    astro-ph.HE 2026-07 conditional novelty 6.0 of 10

    Late-time optically-thin kilonova line profiles computed from 2D long-term merger ejecta are complex, orientation-dependent and broadened by r-process heating, encoding ejecta structure.

  4. Effects of magnetically driven shocks on nucleosynthesis and kilonovae from neutron star mergers

    astro-ph.HE 2026-05 unverdicted novelty 6.0 of 10

    Magnetically driven shocks from neutron star merger remnants can reheat ejecta to nuclear statistical equilibrium, alter r-process yields, and produce observable changes in kilonova color and light curves.

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