Analysis for burst gravitational waves with TAMA300 data

We present analysis results of 1000 It of data of TAMA300; the target was short bursts of gravitational waves. In this analysis, we used an excess power filter for signal detection, and time-scale selection of event candidates for non-Gaussian noise rejection. As a result, no evidence of detection was found. We obtained a false-alarm rate of 4 events/h for h similar to 3 x 10(-17) gravitational waves. A time-dependence analysis of the event candidates shows that the false alarms were mainly caused by non-Gaussian noises that had originated in seismic disturbances during the daytime. These results show that further improvements in the detector and analysis methods are required for signal detection.