From $\gamma$ to Radio - The Electromagnetic Counterpart of GW 170817

TL;DR

This paper uses numerical simulations to explain the electromagnetic signals from GW170817 as emission from a mildly relativistic cocoon formed by a jet propagating through merger ejecta, challenging simple off-axis jet models.

Contribution

It presents detailed 3D and 2D simulations showing that the electromagnetic counterparts can be explained by a cocoon emission, providing a new framework for interpreting neutron star merger observations.

Findings

Gamma-rays originate from cocoon breakout.

Radio afterglow results from cocoon interaction with interstellar medium.

Early optical signals may be boosted kilonova emission.

Abstract

The gravitational waves from the first binary neutron star merger, GW170817, were accompanied by a multi-wavelength electromagnetic counterpart, from $\gamma$-rays to radio. The accompanying gamma-rays, seems at first to confirm the association of mergers with short gamma-ray bursts (sGRBs). The common interpretation was that we see an emission from an sGRB jet seen off-axis. However, a closer examination of the sub-luminous $\gamma$-rays and the peculiar radio afterglow were inconsistent with this simple interpretation. Here we present results of 3D and 2D numerical simulations that follow the hydrodynamics and emission of the outflow from a neutron star merger form its ejection and up to its deceleration by the circum-merger medium. Our results show that the entire set of $\gamma$-rays, X-rays and radio observations can be explained by the emission from a mildly relativistic cocoon material (Lorentz factor $\sim$2-5) that was formed while a jet propagated through the material ejected during the merger. The $\gamma$-rays are generated when the cocoon breaks out from the engulfing ejecta while the afterglow is produced by interaction of the cocoon matter with the interstellar medium. The strong early uv/optical signal may be a Lorentz boosted macronova/kilonova. The fate of the jet itself is currently unknown, but our full-EM models define a path to resolving between successful and choked jet scenarios, outputting coupled predictions for the image size, morphology, observed time-dependent polarization and light curve behavior from radio to X-ray. The predictive power of these models will prove key in interpreting the on-going multi-faceted observations of this unprecedented event.