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Methods and Modules
To perform a simulation, a user selects a method, including optional modules. Currently, the Broadband Platform supports the following methods:
- Graves & Pitarka (GP)
- SDSU
- UCSB
- Composite Source Model (CSM - Under development)
- EXSIM
- SONG
- Irikura Recipe Method 1
The Broadband Platform consists of a series of modules. There are two main types of modules, science modules and utility modules. Science modules are those for which the platform has multiple implementations, provided by different coding research groups. Utility modules only have 1 implementation and are used by all simulations. A schematic of the available modules and their flow relationships is shown below in the following sections.
All simulations must include a module that creates synthetic seismograms. In some methods, there are separate low-frequency and high-frequency modules, while in other methods, these two steps are done by a single module. Rupture generation and site response are optional science modules. Users may select the following different implementations of each of these modules:
- Rupture generation: GP, UCSB, SONG, Irikura Recipe Method 1
- Low-frequency: GP, UCSB, CSM, EXSIM
- High-frequency: GP, UCSB, SDSU, CSM, EXSIM
- Site response: GP, UCSB
A spectral response post-processing module is automatically run after the seismogram synthesis is completed and the optional site response module. Additionally, users may select an optional goodness-of-fit (GoF) utility module to run at the conclusion of the simulation. The Broadband Platform currently supports both the GP and SDSU GoF modules and the users can select to run one, or both (or none) of these modules.
The Broadband Platform documentation available on this wiki is the latest available and may refer to functionality available only on the development branch of the Broadband Platform. For documentation to a specific version of the Broadband Platform, please refer to the 'doc' folder included on the distribution package.
This wiki is licensed by University of Southern California (USC) to the public under a Creative Commons Attribution 4.0 license.