Getting Started

Contents

1. Checks
2. “Data”

Checks

The program works on Mac, Linux and Windows systems equipped with Matlab version R2017a or higher.

Necessary Toolboxes: Signal Processing, Curve Fitting, Image Processing and Mapping. The Parallel Computing Toolbox is recommended for speed.

Custom toolboxes not included in standard Matlab installations are also provided with the package. These are:

1. Routines to read SAC files created by Zhigang Peng and available from his SAC tutorial page.
2. The Regularization Toolbox created by Per Christian Hansen and available from Matlab File Exchange.
3. The IRTools, included in MuRAT as a zipped folder.
4. Functions from the Geometry and Image-Based Bioengineering add-On for MATLAB.
5. MuRAT routines to help with data processing, as explained in the [???] folder.

Data

Three sample datasets (Mount St. Helens, Romania, and Toba) are included and allow the user to obtain sample models. The datasets work with the three corresponding input.mlx files that show examples of what the user can obtain with the code.

Open one of the three input.mlx files, providing a step-by-step explanation of all inputs (Murat_inputMSH.mlx, Murat_inputRomania.mlx, or Murat_inputToba.mlx) and create your own.

MuRAT works with SAC files that must be stored into a single folder and corrected for the instrument function. The files must have populated headers. Your SAC headers get tested anyway and the result is shown in an excel file. The code takes from the header the following fields:

1. The P-wave picking in the reference time of the waveform;
2. The coordinates of the event;
3. The coordinates of the station;
4. The origin time of the event (optional).