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In a statistical analysis in Particle Physics, nuisance parameters can be introduced to take into account various types of systematic uncertainties. The best estimate of such a parameter is often modeled as a Gaussian distributed variable…

Data Analysis, Statistics and Probability · Physics 2019-02-25 Glen Cowan

The observed 2B BATSE distribution is consistent with the faintest GRBs in our sample originating from a redshift of Zmax ~ 0.8-3.0 (90\%), with the most likely values in the range of 1.0-2.2, and is largely insensitive to Omega for models…

Astrophysics · Physics 2015-06-24 Robert Rutledge , Lam Hui , Walter H. G. Lewin

Aims. We analyze and characterize the angular distribution of selected samples of gamma ray bursts (GRBs) from Batse and Swift data to confirm that the division in two classes of short- and long-duration GRBs correspond also to the…

Cosmology and Nongalactic Astrophysics · Physics 2010-01-15 Fabrizio Tamburini

Batched sparse (BATS) code is a class of batched network code that can achieve a close-to-optimal rate when an optimal degree distribution is provided. We observed that most probability masses in this optimal distribution are very small,…

Information Theory · Computer Science 2024-10-08 Hoover H. F. Yin , Jie Wang

Assuming that the observed gamma-ray burst (GRB) rate as a function of redshift is proportional to a corrected star formation rate, we derive the empirical distribution of the viewing angles of long BATSE GRBs, $P^{\rm em}(\theta)$, and the…

Astrophysics · Physics 2008-11-26 X. H. Cui , E. W. Liang , R. J. Lu

We present Interplanetary Network (IPN) detection and localization information for 211 gamma-ray bursts (GRBs) observed as untriggered events by the Burst and Transient Source Experiment (BATSE), and published in catalogs by Kommers et al.…

The realization that the total energy of GRBs is correlated with their jet break angles motivates the search for a similar relation between the peak luminosity, $L$, and the jet break angles, $L\propto\theta^{-2}$. Such a relation implies…

Astrophysics · Physics 2011-06-21 D. Guetta , T. Piran , E. Waxman

Two classes of gamma-ray bursts have been identified in the BATSE catalogs characterized by durations shorter and longer than about 2 seconds. There are, however, some indications for the existence of a third type of burst. Swift satellite…

High Energy Astrophysical Phenomena · Physics 2009-07-20 I. Horvath , L. G. Balazs , Z. Bagoly , J. Kelemen , P. Veres , G. Tusnady

Clustering methods are an important tool to enumerate and describe the different coherent kinds of Gamma Ray Bursts (GRBs). But their performance can be affected by a number of factors such as the choice of clustering algorithm and inherent…

High Energy Astrophysical Phenomena · Physics 2017-06-13 Souradeep Chattopadhyay , Ranjan Maitra

Gaussian empirical Bayes methods usually maintain a precision independence assumption: The unknown parameters of interest are independent from the known standard errors of the estimates. This assumption is often theoretically questionable…

Econometrics · Economics 2025-12-30 Jiafeng Chen

We investigate the angular distribution of gamma-ray bursts using the largest catalog of well-localized events that is currently available---combined BATSE/Ulysses burst locations. We present the preliminary spatial analysis of 415…

Astrophysics · Physics 2007-05-23 R. M. Kippen , K. Hurley , G. N. Pendleton

One of the most important task of the Gamma-Ray Burst field is the classification of the bursts. Many researches have proven the existence of the third kind (intermediate duration) of GRBs in the BATSE data. Recent works have analyzed…

High Energy Astrophysical Phenomena · Physics 2015-04-30 I. Horvath , Z. Bagoly , A. de Ugarte Postigo , L. G. Balazs , P. Veres

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

We analyse the BATSE 3B catalog using the pair-matching statistic. This statistic counts only the burst pairs which may have originated from the same source, so it is less likely to yield false detections of ``repeating bursts" than the…

Astrophysics · Physics 2007-05-23 David P. Bennett , Sun Hong Rhie

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…

High Energy Astrophysical Phenomena · Physics 2010-10-12 Y. -P. Qin , A. C. Gupta , J. H. Fan , C. -Y. Su , R. -J. Lu

Understanding the dynamics of complex systems is a central task in many different areas ranging from biology via epidemics to economics and engineering. Unexpected behaviour of dynamic systems or even system failure is sometimes difficult…

Optimization and Control · Mathematics 2022-03-25 Dominik Kahl , Andreas Weber , Maik Kschischo

We have developed an automatic search procedure to identify low-energy spectral features in GRBs. We have searched 133,000 spectra from 117 bright bursts and have identified 12 candidate features with significances ranging from our…

Astrophysics · Physics 2009-10-30 M. S. Briggs , D. L. Band , R. D. Preece , G. N. Pendleton , W. S. Paciesas , J. L. Matteson

This articles is concerned primarily with the intrinsic anisotropy in the angular distribution of 2281 gamma-ray bursts (GRBs) collected in Current BATSE Gamma-Ray Burst Catalog until the end of year 1998, and, second, with intrinsic…

Astrophysics · Physics 2007-05-23 A. Meszaros , Z. Bagoly , R. Vavrek

We develop a likelihood methodology which can be used to search for evidence of burst repetition in the BATSE catalog, and to study the properties of the repetition signal. We use a simplified model of burst repetition in which a number…

Astrophysics · Physics 2009-10-28 Carlo Graziani , Donald Q. Lamb

We consider the problem of learning the exact skeleton of general discrete Bayesian networks from potentially corrupted data. Building on distributionally robust optimization and a regression approach, we propose to optimize the most…

Machine Learning · Computer Science 2023-11-13 Yeshu Li , Brian D. Ziebart