Short vs. Long Gamma-Ray Bursts: A Comprehensive Study of Energetics and Prompt Gamma-Ray Correlations
Amir Shahmoradi (UT Austin), Robert J. Nemiroff (MTU)

TL;DR
This comprehensive study analyzes the energetics, classification, and prompt gamma-ray correlations of short and long gamma-ray bursts using BATSE data, revealing new classification criteria and intrinsic correlations after correcting for detection biases.
Contribution
Introduces a novel classification method based on spectral peak energy to duration ratio and demonstrates that both GRB classes share similar intrinsic correlations after bias correction.
Findings
Classification ratio R=E_p/T_{90} effectively separates GRB types.
Both GRB populations follow multivariate log-normal distributions.
Significant intrinsic hardness-brightness and duration-brightness correlations exist.
Abstract
We present the results of a comprehensive study of the luminosity function, energetics, prompt gamma-ray correlations, and classification methodology of short-hard and long-soft GRBs (SGRBs and LGRBs), based on observational data in the largest catalog of GRBs available to this date: BATSE catalog of 2702 GRBs. We find that: 1. The least-biased classification method of GRBs into short and long, solely based on prompt-emission properties, appears to be the ratio of the observed spectral peak energy to the observed duration () with the dividing line at . 2. Once data is carefully corrected for the effects of the detection threshold of gamma-ray instruments, the population distribution of SGRBs and LGRBs can be individually well described as multivariate log-normal distribution in the --dimensional space of the isotropic peak gamma-ray luminosity,…
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