pyParkO 0.0.2

pyParkO is a Python-based implementation of the Parker-Oldenburg Algorithm for calculating gravity anomalies from a density interface and recovering the density interface from gravity anomalies.

pyParkO

Abstract

pyParkO is a Python-based algorithm implementation of the Parker-Oldenburg method for:

1. Forward modeling: Calculating gravity anomalies from the density interface.
2. Inverse modeling: Recovering the density interface from gravity anomalies.

Key Features

• A Parker-Oldenburg toolkit containing:
  • Forward program (density interface → gravity anomalies).
  • Inversion program (gravity anomalies → density interface), optimized for reconstructing seafloor topography from gridded gravity data.
• Extended capability to handle variable density-contrast scenarios (implemented in this package).
• Critical note: When mu=0, the variable density-contrast formula simplifies to the original Parker-Oldenburg method.

Functionality

✅ Parameter tuning for constant/variable density-contrast models.
✅ Regional adaptability for seafloor topography inversion.
✅ Built-in visualization tools for forward/inverse results.

More Information

For more information, please visit the GitHub website: https://github.com/Eurrreka/pyParkO