Abstract
Using Gaussian Mixture Model and Expectation Maximization algorithm, we have performed a density estimation in the framework of \(T_{90}\) versus hardness ratio for 296 Swift/BAT GRBs with known redshift. Here, Bayesian Information Criterion has been taken to compare different models. Our investigations show that two instead of three or more Gaussian components are favoured in both the observer and rest frames. Our key findings are consistent with some previous results.
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Acknowledgements
We thank the anonymous referee for valuable comments and suggestions that led to an overall improvement of this work. This work is partly supported by the National Natural Science Foundation of China (Grant No. U1431126; 11263002; 11311140248; 11203026) and Provincial Natural Science Foundations (201519; 20134021; 20117006; OP201511).
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Yang, E.B., Zhang, Z.B. & Jiang, X.X. Two dimensional classification of the Swift/BAT GRBs. Astrophys Space Sci 361, 257 (2016). https://doi.org/10.1007/s10509-016-2838-5
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DOI: https://doi.org/10.1007/s10509-016-2838-5