An efficient algorithm for gravity forward modelling (GFM) with masses of arbitrary shapes and density distributions
Wenjin Chen,
Xiaolong Tan
Abstract:Summary
Currently, gravimetric forward modelling of mass density structures with arbitrary geometries and density distributions typically involves subdividing the mass body into individual geometric elements (such as rectangular prisms), calculating their gravitational contributions that are then summed up to obtain the gravitational attraction of the whole body. To achieve a more accurate approximation of the true geometric shape and density distribution, this rectangular prism model requires f… Show more
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