A Multivariate Fit Luminosity Function and World Model for Long GRBs
Amir Shahmoradi (IFS, UT Austin)

TL;DR
This paper models the joint distribution of key properties of long gamma-ray bursts using a multivariate log-normal distribution, revealing correlations and potential biases in detection.
Contribution
It introduces a comprehensive multivariate model for LGRB properties based on the largest available catalog, accounting for selection effects and revealing new correlations.
Findings
LGRBs' properties are well described by a multivariate log-normal distribution.
Detected correlations include Eiso & Epkz with a rho of 0.58.
Many low-luminosity, low-energy LGRBs are likely missed by current detectors.
Abstract
It is proposed that the luminosity function, the rest-frame spectral correlations and distributions of cosmological Long-duration (Type-II) Gamma-Ray Bursts (LGRBs) may be very well described as multivariate log-normal distribution. This result is based on careful selection, analysis and modeling of LGRBs' temporal and spectral variables in the largest catalog of Gamma-Ray Bursts available to date: 2130 BATSE GRBs, while taking into account the detection threshold and possible selection effects. Constraints on the joint rest-frame distribution of the isotropic peak luminosity (Liso), total isotropic emission (Eiso), the time-integrated spectral peak energy (Epkz) and duration (T90z) of LGRBs are derived. The presented analysis provides evidence for a relatively large fraction of LGRBs that have been missed by BATSE detector with Eiso extending down to ~ 10^49 [erg] and observed spectral…
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