2022
DOI: 10.3390/galaxies10040078
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Two Classes of Gamma-ray Bursts Distinguished within the First Second of Their Prompt Emission

Abstract: Studies of Gamma-Ray Burst (GRB) properties, such as duration and spectral hardness, have found evidence for additional classes, beyond the short/hard and long/soft prototypes, using model-dependent methods. In this paper, a model-independent approach was used to analyse the gamma-ray light curves of large samples of GRBs detected by BATSE, Swift/BAT and Fermi/GBM. All the features were extracted from the GRB time profiles in four energy bands using the Stationary Wavelet Transform and Principal Component Anal… Show more

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Cited by 7 publications
(4 citation statements)
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“…). This redshift is small enough so much that, one can easily apply the usual Hubble Law 4 to determine the distance to this event without the need (e.g.) for Wright's [41] online cosmology calculator.…”
Section: Interim Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…). This redshift is small enough so much that, one can easily apply the usual Hubble Law 4 to determine the distance to this event without the need (e.g.) for Wright's [41] online cosmology calculator.…”
Section: Interim Discussionmentioning
confidence: 99%
“…For example-in recent times, astrophysical phenomenon such as the time delays observed in Gamma Ray Bursts (GRBs) (see e.g., Refs. [4]- [14]) and Fast Radio Bursts (FRBs) (see e.g., Refs. [7] [15] [16] [17] [18]) have brought to the fore of physics this very idea that the Photon may not be massless as we have long assumed.…”
Section: Introductionmentioning
confidence: 99%
“…Fourier analysis of the Swift/BAT GRB light curves by Jespersen et al [101] identified two classes of bursts. Following on from the analysis presented in this paper is a wavelet-based feature extraction analysis of GRB light curves from Swift/BAT, BATSE and Fermi/GBM (Salmon et al [102], in preparation).…”
Section: Discussionmentioning
confidence: 99%
“…In [224], the authors propose a study on Fermi, BATSE, and Swift datasets, where GRB lightcurves are preprocessed using a wavelet transform, followed by PCA and GMM clustering. Although the cluster separation is not distinct in all datasets, two groups consistently emerge.…”
Section: Analysis On Multiple Satellitesmentioning
confidence: 99%