Qin 2010 伽马暴的softness分布

主要内容:
长短暴分类一般用hardness-T90, 他们用softness-T90. 结果貌似差不多。

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Title:		Duration distributions for different softness groups of gamma-ray bursts
Authors:		Qin, Yiping; Gupta, A. C.; Fan, Junhui; Su, Chengyue; Lu, Ruijing
Affiliation:		AA(Center for Astrophysics, Guangzhou University; Physics Department, Guangxi University), AB(Aryabhatta Research Institute of Observational Sciences (ARIES)), AC(Center for Astrophysics, Guangzhou University), AD(Department of Physics, Guangdong Industry University), AE(Physics Department, Guangxi University)
Publication:		Science China Physics, Mechanics and Astronomy, Volume 53, Issue 7, pp.1375-1382 (ScChG Homepage)
Publication Date:		07/2010
Origin:		SPRINGER
Keywords:		gamma-rays, bursts: methods, data analysis: methods, statistical
Abstract Copyright:		(c) 2010: Science China Press and Springer-Verlag Berlin Heidelberg
DOI:		10.1007/s11433-010-4023-0
Bibliographic Code:		2010ScChG..53.1375Q

Abstract

Gamma-ray bursts (GRBs) are divided into two classes according to their durations. We investigate if the softness of bursts plays a role in the conventional classification of the objects. We employ the BATSE (Burst and Transient Source Experiment) catalog and analyze the duration distributions of different groups of GRBs associated with distinct softness. Our analysis reveals that the conventional classification of GRBs with the duration of bursts is influenced by the softness of the objects. There exists a bimodality in the duration distribution of GRBs for each group of bursts and the time position of the dip in the bimodality histogram shifts with the softness parameter. Our findings suggest that the conventional classification scheme should be modified by separating the two well-known populations in different softness groups, which would be more reasonable than doing so with a single sample. According to the relation between the dip position and the softness parameter, we get an empirical function that can roughly set apart the short-hard and long-soft bursts: SP = (0.100 ± 0.028) T {₉₀/^{‑ (0.85 ± 0.18)}}, where SP is the softness parameter adopted in this paper.

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