Statistical properties of Fermi GBM GRBs' spectra
Istvan I. Racz, Lajos G. Bal\'azs, Istvan Horvath, L. Viktor Toth,, Zsolt Bagoly

TL;DR
This study analyzes Fermi GBM gamma-ray burst spectra, revealing an ordered spectral model sequence, significant physical differences among spectral types, and the importance of synchrotron radiation, with spectral variability linked to temporal evolution.
Contribution
The paper introduces a detailed statistical analysis of GRB spectra, establishing an ordered spectral model sequence and linking spectral types to physical properties using advanced statistical methods.
Findings
Spectral models follow a specific order: power law, Comptonized, smoothly broken power law, Band.
Significant physical differences exist among spectral types, especially during peak flux.
Synchrotron radiation plays a significant role in GRB spectra, with spectral indices indicating cooling effects.
Abstract
Statistical studies of gamma-ray burst (GRB) spectra may result in important information on the physics of GRBs. The Fermi GBM catalog contains GRB parameters (peak energy, spectral indices, intensity) estimated fitting the gamma-ray SED of the total emission (fluence, flnc), and during the time of the peak flux pflx. Using contingency tables we studied the relationship of the models best fitting pflx and flnc time intervals. Our analysis revealed an ordering of the spectra into a power law - Comptonized - smoothly broken power law - Band series. This result was further supported by a correspondence analysis (CA) of the pflx and flnc spectra categorical variables. We performed a linear discriminant analysis (LDA) to find a relationship between categorical (spectral) and model independent physical data. LDA resulted in highly significant physical differences among the spectral types,…
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