Computer Science
Scientific paper
Mar 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011ycat..74072075s&link_type=abstract
VizieR On-line Data Catalog: J/MNRAS/407/2075. Originally published in: 2010MNRAS.407.2075S
Computer Science
Gamma Rays
Scientific paper
Simple hardness ratios are found to be a good estimator for the spectral peak energy in gamma-ray bursts (GRBs). Specifically, a high correlation strength is found between the nuFnu peak in the spectrum of Burst and Transient Source Experiment (BATSE) GRBs, Ep,obs and the hardness of GRBs, inline image, as defined by the fluences in channels 3 and 4, divided by the combined fluences in channels 1 and 2 of the BATSE Large Area Detectors (LADs). The correlation is independent of the type of the burst, whether long-duration GRB (LGRB) or short-duration (SGRB) and remains almost linear over the wide range of the BATSE energy window (20-2000KeV). Based on Bayes theorem and Markov Chain Monte Carlo techniques, we also present multivariate analyses of the observational data while accounting for data truncation and sample incompleteness. Prediction intervals for the proposed inline image relation are derived. Results and further simulations are used to compute Ep,obs estimates for nearly the entire BATSE catalogue: 2130 GRBs.
(2 data files).
Nemiroff Robert J.
Shahmoradi Amir
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