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About the Project

CHMAP is a python package focused on the detection, mapping, tracking, and general analysis of coronal holes in the solar corona.

CHMAP includes methods for:

  • Data Acquisition
  • Data Reduction
  • Limb Brightening Correction
  • Inter-Instrument Scaling
  • Flexible Map Creation
  • Coronal Hole Detection
  • Coronal Hole Tracking

Although CHMAP was designed for analyzing coronal hole evolution from seconds to years, many of the database, image processing, and mapping procedures are relevant a broad range of solar features and scientific analysis.

Acknowledgements

Copyright 2021 Predictive Science Incorporated (Apache 2.0 License).

A research paper describing the initial release of CHMAP and some applications is currently in preparation. In the meantime, if you use CHMAP code or concepts in your own work, please refer to our prior work on this topic (Caplan et al., 2016) and cite the corresponding Zenodo release for CHMAP: DOI.

The development of CHMAP was primarily supported by the NASA Heliophysics Guest Investigators program (grant NNX17AB78G). Additional support is from the Heliophysics Supporting Research program (grants 80NSSC18K0101 & 80NSSC18K1129).

Contact

Cooper Downs (cdowns@predsci.com)

Contributors

  • Cooper Downs
  • James Turtle
  • Tamar Ervin
  • Opal Issan
  • Ronald M. Caplan
  • Jon A. Linker