Two-Dimensional Gravity Anomaly Simulation Annealing Forward and Inverse Modeling Program in Geophysics

The Two-Dimensional Gravity Anomaly Simulation Annealing Forward and Inverse Modeling Program in Geophysics is a widely used method for processing geophysical data. This approach utilizes the simulated annealing algorithm to perform both forward modeling (calculating gravity anomalies from known subsurface structures) and inverse modeling (reconstructing subsurface geological structures from observed gravity data). Key implementation aspects include: - The simulated annealing algorithm minimizes the misfit between observed and calculated gravity anomalies through a probabilistic optimization process that avoids local minima - Forward modeling computes gravitational responses using density contrast values and geometric parameters of subsurface bodies - Inverse modeling iteratively adjusts model parameters (density, depth, geometry) while tracking temperature reduction schedules - Core functions typically involve matrix operations for gravity field calculations and adaptive cooling strategies for convergence control This method finds extensive applications in geophysical exploration, enabling researchers to study Earth's interior material distribution, rock properties, and subsurface resource potential. Through this program, geophysicists can better understand Earth's internal structure and characteristics, providing crucial references for geological exploration and resource development. The implementation typically includes modules for data preprocessing, parameter initialization, annealing schedule configuration, and result visualization.