Preliminary results of the analysis of the BATSE TTE data

— The Compton Gamma Ray Observatory (CGRO) observed many types of data and one of them is the time-tagged photon events (TTE data). We use the Bayesian block analysis, using Bayesian statistics, analyses the TTE data. Our results; calculations of duration (T100), count rates (burst photon numbers in different channels) and count peaks (in 64, 16 and 4 ms). We present the duration, the peak duration and the distance between peaks distributions. Principal Component Analysis (PCA) has been also applied. The PCA shows interesting results, such as channel 4 (highest energy channel) probably is very important. The CGRO/BATSE observed many types of data about gamma-ray bursts (GRBs), and their statistical analyses gave several useful results. For example, the logN-LogS analyses ([5], [2]) gave useful information about the spatial distribution of GRBs. The study of the time behavior of the spectra ([7], [8]) led to the better understanding of the time dependence of GRBs. In this paper the time-tagged photon events (TTE) will be studied. The TTE data recorded the arrival time (within a two microsecond bin), energy (within four discriminator channels) and detector of each photon. The Bayesian block analysis, using Bayesian statistics, analyses the TTE data and the output is the most probable segmentation of the observation into time intervals during which the photon arrival rate is perceptibly constant. In the BATSE database there are 532 burst TTE (time tagged event) data. The TTE data contains the detection time as many as 32 768 photons with a 2 microsecond time resolution in four energy channels. Many cases there were more than 32 768 photons during the burst time or there were bursts photons before the starting time of TTE. We used the 273 bursts TTE data, which were complete (covered the whole burst).