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Gamma-ray bursts (GRBs) are intense, short-lived bursts of gamma-ray radiation observed up to a high redshift ($z \sim 10$) due to their luminosities. Thus, they can serve as cosmological tools to probe the early Universe. However, we need…

The standard model of afterglow production by the forward shock wave is not supported by recent observations. We propose a model in which the forward shock is invisible and afterglow is emitted by a long-lived reverse shock in the burst…

Astrophysics · Physics 2009-11-13 Z. Lucas Uhm , Andrei M. Beloborodov

Gamma-ray bursts (GRBs), as extremely energetic explosions in the universe, are widely believed to consist of two stages: the prompt phase and the subsequent afterglow. Recent studies indicate that some high-energy photons are emitted…

High Energy Astrophysical Phenomena · Physics 2021-11-02 Yingtian Chen , Bo-Qiang Ma

We address the problem of data augmentation in a rotating turbulence set-up, a paradigmatic challenge in geophysical applications. The goal is to reconstruct information in two-dimensional (2D) cuts of the three-dimensional flow fields,…

Gamma-ray bursts (GRBs) are the most luminous astrophysical transients, known to be associated with core collapse of massive stars or mergers of two compact objects such as two neutron stars. They are followed by multi-wavelength afterglow…

High Energy Astrophysical Phenomena · Physics 2025-10-01 Yihan Wang , Connery Chen , Bing Zhang

Flaring activity following gamma-ray bursts (GRBs), observed in both long and short GRBs, signals a long-term activity of the central engine. However, its production mechanism has remained elusive. Here we develop a quantitative model of…

High Energy Astrophysical Phenomena · Physics 2016-12-07 Simone Dall'Osso , Rosalba Perna , Takamitsu L. Tanaka , Raffaella Margutti

High-energy gamma-ray spectroscopy is crucial for studying and advancing the application of high-energy photons in areas like strong-field physics, high-energy-density science, and laboratory astrophysics. However, high-energy gamma-ray…

Instrumentation and Detectors · Physics 2026-04-22 Zhuofan Zhang , Mingxuan Wei , Kyle Fleck , Jun Liu , Xinjian Tan , Gianluca Sarri , Wenchao Yan

Recurrent neural networks with various types of hidden units have been used to solve a diverse range of problems involving sequence data. Two of the most recent proposals, gated recurrent units (GRU) and minimal gated units (MGU), have…

Neural and Evolutionary Computing · Computer Science 2017-01-13 Joel Heck , Fathi M. Salem

The beaming angle (zeta) is the main uncertainty in gamma ray burst energy requirements today. We summarize predictions for the light curves of beamed bursts, and model the R band light curve of GRB 970508 to derive zeta > 30 degrees. This…

Astrophysics · Physics 2009-10-31 James E. Rhoads

Gamma-ray bursts (GRBs) are the most luminous electromagnetic explosions in the Universe, which emit up to $8.8\times10^{54}$ erg isotropic equivalent energy in the hard X-ray band. The high luminosity makes them detectable out to the…

High Energy Astrophysical Phenomena · Physics 2015-06-03 F. Y. Wang , Z. G. Dai , E. W. Liang

For a few seconds a gamma-ray burst (GRB) becomes the brightest object in the Universe, over-shining the rest of the Universe combined! Clearly this reflects extreme conditions that are fascinating and worth exploring. The recent discovery…

Astrophysics · Physics 2009-09-25 Tsvi Piran

Accurate load forecasting remains a formidable challenge in numerous sectors, given the intricate dynamics of dynamic power systems, which often defy conventional statistical models. As a response, time-series methodologies like ARIMA and…

Computational Engineering, Finance, and Science · Computer Science 2023-09-25 Anuvab Sen , Vedica Gupta , Chi Tang

We present an analysis of gamma-ray burst (GRB) progenitor classification, through their positions on a Uniform Manifold Approximation and Projection (UMAP) plot, constructed by Negro et al. 2024, from Fermi-GBM waterfall plots. The…

High Energy Astrophysical Phenomena · Physics 2025-08-29 Sharleen N. Espinoza , Nicole M. Lloyd-Ronning , Michela Negro , Roseanne M. Cheng , Nicoló Cibrario

Gamma-ray bursts (GRBs) are energetic explosions that for 0.01--100 s are the brightest gamma-ray sources in the sky. Observations of the early evolution of afterglows we expected to provide clues about the nature of the bursts, but their…

Gamma-Ray Bursts (GRBs) have been traditionally divided into two categories: "short" and "long" with durations less than and greater than two seconds, respectively. However, there is a lot of literature (with conflicting results) regarding…

Instrumentation and Methods for Astrophysics · Physics 2022-04-08 Aishwarya Bhave , Soham Kulkarni , Shantanu Desai , P. K. Srijith

Gamma-ray Bursts (GRBs) are one of the most energetic phenomena in the cosmos, whose study probes physics extremes beyond the reach of laboratories on Earth. Our quest to unravel the origin of these events and understand their underlying…

High Energy Astrophysical Phenomena · Physics 2025-02-25 Michela Negro , Nicoló Cibrario , Eric Burns , Joshua Wood , Adam Goldstein , Tito Dal Canton

Since the gravitational wave event GW170817 and gamma-ray burst GW170817A there have been numerous studies constraining the burst properties through analysis of the afterglow light curves. Most agree that the burst was viewed off-axis with…

High Energy Astrophysical Phenomena · Physics 2023-03-29 Austin McDowell , Andrew MacFadyen

Gamma-ray bursts (GRB) are extremely energetic events and produce highly diverse light curves. Light curves are believed to be resulting from internal shocks reflecting the activities of the GRB central engine. Hence their temporal studies…

High Energy Astrophysical Phenomena · Physics 2015-06-12 Narayana P. Bhat

We propose a new method for the classification of optically dark gamma-ray bursts (GRBs), based on the X-ray and optical-to-X-ray spectral indices of GRB afterglows, and utilizing the spectral capabilities of Swift. This method depends less…

High Energy Astrophysical Phenomena · Physics 2010-03-19 A. J. van der Horst , C. Kouveliotou , N. Gehrels , E. Rol , R. A. M. J. Wijers , J. K. Cannizzo , J. Racusin , D. N. Burrows

Graph processes model a number of important problems such as identifying the epicenter of an earthquake or predicting weather. In this paper, we propose a Graph Convolutional Recurrent Neural Network (GCRNN) architecture specifically…

Machine Learning · Computer Science 2019-06-28 Luana Ruiz , Fernando Gama , Alejandro Ribeiro