A Comprehensive Analysis of Fermi Gamma-ray Burst Data: III. Energy-Dependent T90 Distributions of GBM GRBs and Instrumental Selection Effect on Duration Classification
Ying Qin (GXU), En-Wei Liang (GXU), Yun-Feng Liang (GXU), Shuang-Xi Yi, (NJU), Lin Lin (Sabanci Univ), Bin-Bin Zhang (PSU), Jin Zhang (NAOC), Hou-Jun, Lu (UNLV), Rui-Jing Lu (GXU), Lian-Zhong Lu (GXU), and Bing Zhang (UNLV)

TL;DR
This study analyzes Fermi/GBM GRB durations across multiple energy bands, revealing energy-dependent bimodal distributions and suggesting instrumental effects influence GRB duration classification.
Contribution
It provides a detailed comparison of T90 distributions across different missions and energy bands, highlighting the instrumental selection effects on GRB duration classification.
Findings
Bimodal T90 distribution observed in certain energy bands.
Energy dependence of T90 follows a power-law with index -0.20.
Instrumental effects significantly influence GRB duration classification.
Abstract
The durations (T90) of 315 GRBs detected with Fermi/GBM (8-1000 keV) by 2011 September are calculated using the Bayesian Block method. We compare the T90 distributions between this sample and those derived from previous/current GRB missions. We show that the T90 distribution of this GRB sample is bimodal, with a statistical significance level being comparable to those derived from the BeppoSAX/GRBM sample and the Swift/BAT sample, but lower than that derived from the CGRO/BATSE sample. The short-to-long GRB number ratio is also much lower than that derived from the BATSE sample, i.e., 1:6.5 vs 1:3. We measure T90 in several bands, i.e., 8-15, 15-25, 25-50, 50-100, 100-350, and 350-1000 keV, to investigate the energy-dependence effect of the bimodal T90 distribution. It is found that the bimodal feature is well observed in the 50-100 and 100-350 keV bands, but is only marginally…
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