MsPASS Documentation

The Massive Parallel Analysis System for Seismologists is an open source framework for seismic data processing and management. It has three core components:

• A scalable parallel processing framework based on a dataflow computation model.

• A NoSQL database system centered on document store.

• A container-based virtualization environment.

The system builds on the ObsPy toolkit, with extension built on a rewrite of the SEISPP package.

Getting Started

• Getting Started in a Nutshell
• Run MsPASS with Docker
• Deploy MsPASS with Docker Compose
• Deploying MsPASS on an HPC cluster
• MsPASS Virtual Cluster Concepts

Introduction

• Introduction

Data Management

• Database Concepts
• CRUD Operations in MsPASS
• Using MongoDB with MsPASS
• Normalization
• Importing Tabular Data

Seismic Data Objects

• Data Object Design Concepts
• Using numpy/scipy with MsPASS
• Using ObsPy with MsPASS
• Time Standard Constraints
• Processing History Concepts
• Continuous Data Handling with MsPASS
• What database schema should I use?

Data Processing

• Algorithms
• Importing Data
• Handling Errors
• Data Editing
• Header (Metadata) Math
• Graphics in MsPASS
• Signal to Noise Ratio Estimation
• Adapting an Existing Algorithm to MsPASS

System Tuning

• Parallel Processing
• Memory Management
• I/O in MsPASS
• Parallel IO in MsPASS

FAQ

• Frequency Asked Questions (FAQ)
• How do I develop a new workflow from scratch?
  • Simple workflows
  • Complex developments

Reference Manual

• Python API
• C++ API
• MsPASS Schema