Constraining the intrinsic population of Long Gamma-Ray Bursts: implications for spectral correlations, cosmic evolution and their use as tracers of star formation
Jesse T. Palmerio, Fr\'ed\'eric Daigne

TL;DR
This paper models the intrinsic population of Long Gamma-Ray Bursts to better understand their properties, cosmic evolution, and potential as tracers of star formation, highlighting the importance of intrinsic correlations and degeneracies in their analysis.
Contribution
It introduces a Monte Carlo model to constrain the intrinsic properties of LGRBs, including spectral correlations and evolution, improving their use in cosmology.
Findings
Intrinsic Ep-L correlation is preferred with a shallower slope and larger scatter.
Degeneracy exists between luminosity evolution and redshift distribution, requiring larger samples.
Selection effects influence observed spectral-energetic relations but do not fully explain them.
Abstract
Long Gamma-Ray Bursts (LGRBs) have been shown to be powerful probes of the Universe, in particular to study the star formation rate up to very high redshift (). Since LGRBs are produced by only a small fraction of massive stars, it is paramount to have a good understanding of their underlying intrinsic population in order to use them as cosmological probes without introducing any unwanted bias. The goal of this work is to constrain and characterise this intrinsic population. We developed a Monte Carlo model where each burst is described by its redshift and its properties at the peak of the lightcurve. We derived the best fit parameters by comparing our synthetic populations to carefully selected observational constraints based on the CGRO/BATSE, Fermi/GBM and Swift/BAT samples with appropriate flux thresholds. We explored different scenarios in terms of cosmic evolution of the…
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