Pushing The Limits Of Low Count Rate Gamma-ray Spectroscopy With Global Fits: Detection, Estimation, Classification.

Mathematics – Logic

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Scientific paper

With the launch of highly sensitive gamma-ray experiments thousands of highly variable and transient sources, such as Gamma-ray bursts, have been recorded. Due to a number of reasons, such as very broad source brightness distribution, strong and fast spectral variability, tremendous diversity of light curves, and frequently involved cosmological red-shift it has been very difficult to establish robust, unbiased, cosmologically invariant parameters that characterize spectral variability of a source regardless of its light curve and brightness.
As the solution we proposed a general method for analysis of time resolved gamma-ray spectra of astrophysical transients - the Global Fit Analysis (GFA), which is based on a spectral evolution model global for a given transient. Since each Global fit is in fact based on the entire source fluence, and prior information such as assumption of internal correlation of spectral parameters, it is very robust and allows for spectroscopy much fainter sources than could normally be studied by traditional spectroscopy dealing with individual independent spectra along the light curve. Or, for a given transient Global fits allow for by far better time resolution.
The robustness of Global fits also makes batch Global fits quite feasible, so the parameters could be estimated without any human intervention for a large number of sources, such as entire set of sources studied by a given experiment. In this paper we exemplify such analysis with Gamma-ray bursts recorded in BATSE experiment.

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