The peak flux of long gamma-ray bursts in the E$_{\rm p,i}$--L$_{\rm iso}$ diagram and in the classification
Guangxuan Lan, Jean-Luc Atteia

TL;DR
This study investigates how peak flux influences the observed E$_{ m p,i}$--L$_{ m iso}$ correlation in long gamma-ray bursts, revealing potential selection effects and alternative origins for some bursts.
Contribution
The paper demonstrates the significant impact of peak flux selection effects on the E$_{ m p,i}$--L$_{ m iso}$ correlation and suggests using combined criteria to identify different LGRB origins.
Findings
Peak flux significantly affects the observed LGRB correlation.
Simulated data reproduces observed distributions only with dependence on (E$_{ m p,i}$, L$_{ m iso}$).
Some low-E$_{ m p,i}$ & L$_{ m iso}$ GRBs with high peak flux may have different origins.
Abstract
The E--L correlation of long gamma-ray bursts (LGRBs) is regarded as a fundamental correlation for standardizing LGRBs to probe cosmology and constrain LGRB physics. However, this correlation may be affected by potential selection effects which are likely overlooked in the current small LGRB redshift sample. In this work, we simulate a large LGRB sample that reflects the observed situation, aiming to study the impact of peak flux on the observed LGRB E--L correlation. We find that the overall (E, L) distribution, which will directly affect the best-fit result of the correlation, is significantly dependent on the value of . This indicates that the impact of peak flux selection should be carefully considered in the studies and applications of the E--L correlation. Notably, we show that…
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Taxonomy
TopicsGamma-ray bursts and supernovae · Advanced X-ray and CT Imaging · Medical Imaging Techniques and Applications
