Statistical Properties of Gamma-Ray Burst Polarization
Kenji Toma, Takanori Sakamoto, Bing Zhang, Joanne E. Hill, Mark L., McConnell, Peter F. Bloser, Ryo Yamazaki, Kunihito Ioka, Takashi Nakamura

TL;DR
This paper uses Monte Carlo simulations to analyze how future gamma-ray burst polarimetry missions can distinguish between different emission models based on polarization measurements, helping to understand GRB jet magnetic fields.
Contribution
It introduces a simulation-based framework to predict polarization distributions for various GRB emission models and proposes criteria for model discrimination using upcoming polarimetry data.
Findings
Polarization measurements can differentiate emission models.
The ratio N_m/N_d is a key discriminator.
High polarization degrees (>0.8) favor the Compton drag model.
Abstract
The emission mechanism and the origin and structure of magnetic fields in gamma-ray burst (GRB) jets are among the most important open questions concerning the nature of the central engine of GRBs. In spite of extensive observational efforts, these questions remain to be answered and are difficult or even impossible to infer with the spectral and lightcurve information currently collected. Polarization measurements will lead to unambiguous answers to several of these questions. Recent developments in X-ray and gamma-ray polarimetry techniques have demonstrated a significant increase in sensitivity enabling several new mission concepts, e.g. POET (Polarimeters for Energetic Transients), providing wide field of view and broadband polarimetry measurements. If launched, missions of this kind would finally provide definitive measurements of GRB polarizations. We perform Monte Carlo…
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