Automated event localisation results could be improved by transforming amplitudes of waveform to characteristic functions such as trace envelope, STA/LTA, kurtosis and power density function. The goal of this study is to evaluate the performance of Akaike Information Criterion (AIC) function in providing accurate seismic event locations when it is used as the characteristic function. We tested the method to passive seismic data acquired in a local earthquake study around the Sumatran fault, Indonesia. By picking the maximum semblance as event location, our results show that the seismic events delineate Sumatran fault well. We also compared the located seismic events with those computed using the well known STA/ LTA characteristic function. By using double-difference results as reference, we found that the located seismic events associated with AIC showing better focusing than STA/LTA results.


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