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🛰️ SUNCAST Projects

This page provides an evolving overview of key tools and workflows associated with the SUNCAST ecosystem. Many of these live in separate repositories under the SUNCAST GitHub organization.

Core Tools

pyGSFIT

  • Purpose: Microwave spectral fitting and forward modeling of solar emission.
  • Highlights:
  • Modern Python implementation of legacy spectral fitting workflows.
  • Supports multi-frequency microwave observations.
  • Designed for reproducibility and integration into training environments.

pyAMPP

  • Purpose: NLFFF-based magnetic modeling and data-constrained field reconstruction.
  • Highlights:
  • Bridges observational data and 3D magnetic models.
  • Targets cloud/HPC-ready workflows.
  • Serves as a foundation for tomography extensions.

pyGSK

  • Purpose: Generalized Spectral Kurtosis (GSK) toolkit for radio data analysis.
  • Highlights:
  • Implements the Nita & Gary GSK estimator.
  • Supports both simulation and real-data workflows.
  • Forms the basis for RFI detection and quality control pipelines.

Community Workflows (Examples)

SUNCAST will host and showcase real-data and training workflows, such as:

  • OVRO–LWA Spectral Kurtosis Pipelines (e.g., SK-based quality control and RFI detection),
  • Tomographic Reconstruction Workflows that combine EUV, radio, and other diagnostics,
  • Educational Notebooks and Training Modules for workshops and summer schools.

As these workflows mature, they will be documented and linked from this page.

Contributing New Projects

If you are developing a tool or workflow that aligns with SUNCAST goals, you can:

  1. Develop it independently in your personal GitHub space.
  2. Reach out to the SUNCAST team when it is ready for broader use.
  3. Propose a repository transfer into the SUNCAST organization.

See the Contributing Guide and Governance Model for details on top-down and bottom-up project integration paths.