SAC Availability for the IRIS Community

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SAC (also known as SAC2000) is a signal processing and analysis code that has been developed by Lawrence Livermore National Laboratory (LLNL) over the past 20+ years for a variety of seismic and geophysical research projects. SAC has evolved into a general purpose interactive program designed for the study of sequential signals, especially time-series data. Emphasis has been placed on analysis tools used by research seismologists in the detailed study of seismic events. Analysis capabilities include general arithmetic operations, Fourier transforms, three spectral estimation techniques, IIR and FIR filtering, signal stacking, decimation, interpolation, correlation, and seismic phase picking. SAC also ... continued below

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6 p. (0.2 MB)

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Goldstein, P & Snoke, A April 6, 2005.

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Description

SAC (also known as SAC2000) is a signal processing and analysis code that has been developed by Lawrence Livermore National Laboratory (LLNL) over the past 20+ years for a variety of seismic and geophysical research projects. SAC has evolved into a general purpose interactive program designed for the study of sequential signals, especially time-series data. Emphasis has been placed on analysis tools used by research seismologists in the detailed study of seismic events. Analysis capabilities include general arithmetic operations, Fourier transforms, three spectral estimation techniques, IIR and FIR filtering, signal stacking, decimation, interpolation, correlation, and seismic phase picking. SAC also contains an extensive graphics capability. SAC is used extensively by the seismic community because: (1) it has a broad range of well-tested, efficient data analysis capabilities (examples include: data inspection, phase picking, signal correction, quality control, unary and binary data operations, travel-time analysis, spectral analysis including high-resolution spectral estimation, spectrograms and binary sonograms, and array and three-component analysis), (2) it is easy to use and reliable, (3) it has a macro programming language that allows users to develop innovative new analysis techniques, (4) it has interfaces to the Unix operating system, Matlab (www.mathworks.com), and the Generic Mapping Tools (GMT) software (Wessel and Smith, 1991, 1998 and gmt.soest.hawaii.edu) that make it very flexible, allowing researchers to solve many research problems innovatively with minimal programming effort, and (5) the suite of analysis capabilities are integrated so that innovative processing schemes are easily implemented. SAC is also widely used because of its user oriented development philosophy, which has led to consistent, easy to use capabilities that are backward compatible. A sample of some of SAC's capabilities is displayed in Figure 1.

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6 p. (0.2 MB)

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PDF-file: 6 pages; size: 0.2 Mbytes

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  • Journal Name: Incorporated Research Institutions for Seismology Newsletter; Journal Volume: 7; Journal Issue: 1

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  • Report No.: UCRL-JRNL-211140
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 875360
  • Archival Resource Key: ark:/67531/metadc878294

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  • April 6, 2005

Added to The UNT Digital Library

  • Sept. 21, 2016, 2:29 a.m.

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  • April 17, 2017, 12:14 p.m.

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Goldstein, P & Snoke, A. SAC Availability for the IRIS Community, article, April 6, 2005; Livermore, California. (digital.library.unt.edu/ark:/67531/metadc878294/: accessed October 21, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.