The GNOME Data Analysis Software (GDAS) is a open-source Python package built to study time-series magnetic field data from an array of optical magnetometers placed at different location on Earth. The software was built for data analysis within the GNOME collaboration led by Prof. Dmitry Budker . The lead developer of this software is Vincent Dumont . The source code is available on our GitLab platform and everyone is more than welcome to suggest changes and report issues.

Getting Started

• Installation
• List of modules
• Program Executable
• Version Updates
• Examples

Excess Power Search

Software Development

• Introduction
• Adaptation for GNOME network
  • First implementation
  • From pyburst to gdas
• Structure of the algorithm
  • Using the python module
  • Using the executable

Filter Bank

• Data Segments and Channels
  • Time-series segmentation
  • Narrow band channels
• Power Spectral Density

Tile Exploration

• Two-point spectral correlation
• Computing the filter bank
• Inner products calculation
• Initialise event list and determine stride boundaries
• Loop over analysing blocks
  • Computing block’s frequency series
  • Computing time-frequency map
  • Loop over virtual wide bandwidth channels
• Extracting GPS time range
• Prepare output file for given time range
• Fake trigger map generator