Lindu Software: An Open Source Seismological Data Processing Using Python Framework to Relocate Hypocenter (Preliminary Software)

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Abstract

Recorded seismogram of an earthquake data contains the earth structure information. Researchers developed the method to extract the information and derives it into the program codes. However, generally, the program codes developed only for specific function and work on only specific scale. Almost the existing programs have a limitation, for example, they work on command-line based and less user-friendly. Lindu software is developed to solve these problems. In this paper, we show the preliminary results of Lindu software, a GUI - based software which is open source and developed in python platform. This software integrates the common procedure of routine data processing in earthquake seismology and works in local and regional scale. It is designed to read multi-component data on multi-station. To identify events automatically, we employ SL Kurt's method and use the results as guided auto-picking. However, the picked time also can be changed manually. Furthermore, we employ Joint Hypocenter Determination (JHD) algorithm to locate the hypocenter of earthquake events and update the 1D velocity model simultaneously. Then the events can be relocated by employing the double-difference method. The software was tested on the available data from IRIS and BMKG and shows the acceptable and reliable results.

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Pradnya Andika, P., Styawan, Y., Suhendi, C., & Firdaus, R. (2019). Lindu Software: An Open Source Seismological Data Processing Using Python Framework to Relocate Hypocenter (Preliminary Software). In IOP Conference Series: Earth and Environmental Science (Vol. 318). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/318/1/012021

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