The Environments of the Most Energetic Gamma-Ray Bursts

TL;DR

This study analyzes the environments of long gamma-ray bursts using multi-wavelength afterglow data, revealing a roughly equal split between wind and ISM-like environments and identifying intrinsic errors in afterglow modeling.

Contribution

It provides the first measurement of intrinsic errors in afterglow parameter estimates and assesses environmental types in a large LGRB sample.

Findings

Approximately half of the LGRBs occur in ISM-like environments.

A significant difference in prompt emission energy distributions between environments.

Intrinsic errors in the estimation of the electron energy distribution index p.

Abstract

We analyze the properties of a sample of long gamma-ray bursts (LGRBs) detected by the Fermi satellite that have a spectroscopic redshift and good follow-up coverage at both X-ray and optical/nIR wavelengths. The evolution of LGRB afterglows depends on the density profile of the external medium, enabling us to separate wind or ISM-like environments based on the observations. We do this by identifying the environment that provides the best agreement between estimates of $p$, the index of the underlying power-law distribution of electron energies, as determined by the behavior of the afterglow in different spectral/temporal regimes. At 11 rest-frame hours after trigger, we find a roughly even split between ISM-like and wind-like environments. We further find a 2$\sigma$ separation in the prompt emission energy distributions of wind-like and ISM-like bursts. We investigate the underlying physical parameters of the shock, and calculate the (degenerate) product of density and magnetic field energy ($\epsilon_B$). We show that $\epsilon_B$ must be $\ll 10^{-2}$ to avoid implied densities comparable to the intergalactic medium. Finally, we find that the most precisely constrained observations disagree on $p$ by more than would be expected based on observational errors alone. This suggests additional sources of error that are not incorporated in the standard afterglow theory. For the first time, we provide a measurement of this intrinsic error which can be represented as an error in the estimate of $p$ of magnitude $0.25 \pm 0.04$. When this error is included in the fits, the number of LGRBs with an identified environment drops substantially, but the equal division between the two types remains.