Low-energy electrons in GRB afterglow models

TL;DR

This paper investigates how adding low-energy electrons to GRB afterglow models affects radio and X-ray emission, improving the fit to observed light curves and revealing the importance of electron distribution details.

Contribution

It introduces a low-energy electron component into GRB afterglow models, demonstrating its significant impact on emission predictions and model fitting.

Findings

Low-energy electrons influence radio synchrotron absorption and emission.

Adding the component improves fit quality for GRB 990510.

Changes at radio frequencies affect X-ray light curve parameters.

Abstract

Observations of gamma-ray burst (GRB) afterglows have long provided the most detailed information about the origin of this spectacular phenomena. The model that is most commonly used to extract physical properties of the event from the observations is the relativistic fireball model, where ejected material moving at relativistic speeds creates a shock wave when it interacts with the surrounding medium. Electrons are accelerated in the shock wave, generating the observed synchrotron emission through interactions with the magnetic field in the downstream medium. It is usually assumed that the accelerated electrons follow a simple power-law distribution in energy between specific energy boundaries and that no electron exists outside these boundaries. This work explores the consequences of adding a low-energy power-law segment to the electron distribution whose energy contributes insignificantly to the total energy budget of the distribution. The low-energy electrons have a significant impact on the radio emission, providing synchrotron absorption and emission at these long wavelengths. Shorter wavelengths are affected through the normalization of the distribution. The new model is used to analyze the light curves of GRB 990510 and the resulting parameters compared to a model without the extra electrons. The quality of the fit and the best fit parameters are significantly affected by the additional model component. The new component is in one case found to strongly affect the X-ray light curves showing how changes to the model at radio frequencies can affect light curves at other frequencies through changes in best fit model parameters.