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Two classes of Gamma Ray Bursts have been identified so far, characterized by T90 durations shorter and longer than approximately 2 seconds. It was shown that the BATSE 3B data allow a good fit with three Gaussian distributions in log T90.…

Astrophysics · Physics 2015-06-02 Istvan Horvath

We present the results of our systematic search for extended emission components following initial short gamma-ray burst (GRB) spikes, using Burst and Transient Source Experiment (BATSE) observations. We performed the extended emission…

High Energy Astrophysical Phenomena · Physics 2013-01-17 Zahide Funda Bostanci , Yuki Kaneko , Ersin Gogus

Gamma ray bursts (GRBs) are classified into long and short categories based on their durations. Broad band studies suggest that these two categories of objects roughly correspond to two different classes of progenitor systems, i.e. compact…

High Energy Astrophysical Phenomena · Physics 2016-11-15 Ye Li , Bing Zhang , Hou-Jun Lü

We calculate the spectrum of blast wave models of gamma-ray burst sources, for various assumptions about the magnetic field density and the relativistic particle acceleration efficiency. For a range of physically plausible models we find…

Astrophysics · Physics 2011-09-30 P. Meszaros , M. J. Rees , H. Papathanassiou

While Gamma-Ray Burst (GRBs) are clear and distinct observed events, every individual GRB is unique. In fact, GRBs are known for their variable behaviour, and BATSE was already able to discover two categories of GRB from the T90…

High Energy Astrophysical Phenomena · Physics 2023-08-25 Karlijn Kruiswijk , Gwenhaël de Wasseige

We investigated the main prompt and afterglow emission parameters of gamma-ray bursts detected by the Burst Alert Telescope (BAT) and X-Ray Telescope installed on the Swift satellite. Our aim was to look for differences or connections…

High Energy Astrophysical Phenomena · Physics 2013-09-05 J. Kóbori , Z. Bagoly , L. G. Balázs , I. Horváth

Classification of gamma-ray bursts (GRBs) into groups has been intensively studied by various statistical tests in previous years. It has been suggested that there was a distinct group of GRBs, beyond the long and short ones, with…

High Energy Astrophysical Phenomena · Physics 2016-10-26 Jakub Řípa , Attila Mészáros

Gamma ray bursts (GRBs) are known to come in two duration classes, separated at ~2 s. Long bursts originate from star forming regions in galaxies, have accompanying supernovae (SNe) when near enough to observe and are likely caused by…

We have carried out a principal component analysis for 625 gamma-ray bursts in the BATSE 3B catalog for which non-zero values exist for the nine measured variables. This shows that only two out of the three basic quantities of duration,…

Astrophysics · Physics 2008-03-22 Z. Bagoly , A. Meszaros , I. Horvath , L. G. Balazs , P. Meszaros

Recent observations have shown that repeating Fast Radio Bursts (FRBs) exhibit band-limited emission, whose frequency-dependent amplitude can be modeled using a Gaussian function. In this analysis, we show that banded emission of FRBs can…

High Energy Astrophysical Phenomena · Physics 2021-10-20 Kshitij Aggarwal

In search for the possible astrophysical sources behind origination of the diverse gamma-ray bursts, cluster analyses are performed to find homogeneous groups, which discover an intermediate group other than the conventional short and long…

Applications · Statistics 2021-01-12 Soumita Modak

Fast Radio Bursts (FRBs), a class of millisecond-scale, highly energetic phenomena with unknown progenitors and radiation mechanisms, require proper statistical analysis as a key method for uncovering their mysteries. In this research, we…

High Energy Astrophysical Phenomena · Physics 2025-02-27 Xianghan Cui , Clancy James , Di Li , Chengmin Zhang

The division of Gamma-ray bursts (GRBs) into different classes, other than the "short" and "long", has been an active field of research. We investigate whether GRBs can be classified based on a broader set of parameters, including prompt…

High Energy Astrophysical Phenomena · Physics 2023-11-28 Shubham Bhardwaj , Maria G. Dainotti , Sachin Venkatesh , Aditya Narendra , Anish Kalsi , Enrico Rinaldi , Agnieszka Pollo

Gamma-ray bursts (GRB) are extreme events. They are crudely classified into two groups based on their duration, namely the short and long bursts. Such a classification has proven to be useful to determine their progenitors: the merger of…

High Energy Astrophysical Phenomena · Physics 2015-03-17 Hüsne Dereli

One third of all HETE-2--localized bursts are X-Ray Flashes (XRFs), a class of events first identified by Heise in which the fluence in the 2-30 keV energy band exceeds that in the 30-400 keV energy band. We summarize recent HETE-2 and…

Astrophysics · Physics 2010-11-11 D. Q. Lamb , T. Q. Donaghy , C. Graziani

This paper reports statistically significant correlations between various burst parameters, observed in a sample of 156 GRBs belonging to BATSE 4B catalog with T90 less than 2 s. The number of subpulses in a burst is strongly correlated not…

Astrophysics · Physics 2007-05-23 Varsha Gupta , Patrick Das Gupta , P. N. Bhat

Observations of gamma ray bursts (GRBs) with Swift produced the initially surprising result that many bursts have large X-ray flares superimposed on the underlying afterglow. The flares were sometimes intense, had rapid rise and decay…

Gamma-ray bursts can be divided into three groups: short-, intermediate and long-duration bursts. While the progenitors of the short and long ones are relatively known, the progenitor objects of the intermediate-duration bursts are…

High Energy Astrophysical Phenomena · Physics 2015-08-21 József Kóbori , Zsolt Bagoly , Lajos G. Balázs , István Horváth

We consider whether the variability properties of Gamma-Ray Bursts (GRBs) that produce bright optical and longer wavelength transient afterglows (A-GRBs) are the same as a larger, inclusive sample of bright, long-duration GRBs, selected…

Astrophysics · Physics 2009-11-10 Joseph A. Munoz , Jonathan C. Tan

Class-bias, that is class-wise performance disparities, is typically attributed to data imbalance and addressed through frequency-based resampling. However, we demonstrate that substantial bias persists even in perfectly balanced datasets,…

Machine Learning · Computer Science 2026-04-13 Pawel Pukowski , Venet Osmani