Speaker
Description
Even with tens of thousands of Gamma-Ray Burst (GRB) detected on an average of one per day, the emission process of this highly-energetic phenomenon is unclear. Additionally, the GRB prompt-phase spectrum can be reproduced by multiple empirical functions within the statistical significance adding further dubiety. The scepticism can be resolved, at least partially, by studying the spectral width W of the prompt spectra while comparing with the physically motivated emission models like thermal/synchrotron/inverse Compton. This can be further scrutinized by studying the evolution of the spectral width in the light of these emission models. We select an ensemble of bright GRB prompt spectra and study their spectral width evolution under a modified thermal emission scenario arising from the rapid cooling of a thermal fireball. The statistical treatment of this study is made viable by constructing a mathematical model of the physical scenario and coupling it with the 3ML statistical fitting package.