Pith. sign in

REVIEW 6 cited by

Full Transport Model of GW170817-Like Disk Produces a Blue Kilonova

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 1905.07477 v1 pith:G6OUGXLQ submitted 2019-05-17 astro-ph.HE gr-qc

Full Transport Model of GW170817-Like Disk Produces a Blue Kilonova

classification astro-ph.HE gr-qc
keywords transportdiskelectronfractionmergerneutronbluecapture
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
0 comments
read the original abstract

The 2017 detection of the inspiral and merger of two neutron stars in gravitational waves and gamma rays was accompanied by a quickly-reddening transient. Such a transient was predicted to occur following a rapid neutron capture (r-process) nucleosynthesis event, which synthesizes neutron-rich, radioactive nuclei and can take place in both dynamical ejecta and in the wind driven off the accretion torus formed after a neutron star merger. We present the first three-dimensional general relativistic, full transport neutrino radiation magnetohydrodynamics (GRRMHD) simulations of the black hole-accretion disk-wind system produced by the GW170817 merger. We show that the small but non-negligible optical depths lead to neutrino transport globally coupling the disk electron fraction, which we capture by solving the transport equation with a Monte Carlo method. The resulting absorption drives up the electron fraction in a structured, continuous outflow, with electron fraction as high as $Y_e\sim 0.4$ in the extreme polar region. We show via nuclear reaction network and radiative transfer calculations that nucleosynthesis in the disk wind will produce a blue kilonova.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Forward citations

Cited by 6 Pith papers

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

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

    astro-ph.HE 2026-07 conditional novelty 6.0

    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.

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

    astro-ph.HE 2026-05 unverdicted novelty 6.0

    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.

  3. Neutrino transport and flavor instabilities in a post-merger disk

    astro-ph.HE 2026-04 unverdicted novelty 6.0

    In post-merger disks, electron-lepton-number crossings drive fast flavor instabilities that enhance heavy lepton neutrino fluxes, while collisional instabilities are subdominant and asymmetrically raise heavy-flavor a...

  4. Impact of neutrino-electron scattering and an improved treatment of pair processes on binary neutron star mergers

    astro-ph.HE 2026-06 unverdicted novelty 5.0

    Improved Monte Carlo neutrino transport in BNS merger simulations that includes inelastic electron scattering and refined pair processes produces lower heavy-lepton neutrino energies/luminosities and 50% higher ejecta mass.

  5. Assessing the Relative Importance of Neutrino Matter Interaction Channels in Post-Merger Remnant of Binary Neutron Stars

    astro-ph.HE 2026-05 unverdicted novelty 5.0

    Monte Carlo simulation of post-merger remnant shows pair annihilation rates greatly increased in cold low-density regions and inelastic electron scattering important for heavy-lepton neutrino thermalization, processes...

  6. Precise and Rapid Parameter Inference of Kilonova with Conditional Variational Autoencoder

    astro-ph.HE 2026-05 unverdicted novelty 5.0

    A conditional variational autoencoder is trained on public kilonova light curves to enable rapid parameter inference for binary neutron star merger models in under three hours total.