Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The 3D semi-analytic mode matching (SAMM) algorithm is used to determine nearfield scattering from underground targets in lossy soil, where the source is a dipole placed within a borehole in the ground. Scattering is described by moderately low-order superpositions of spherical modes placed at multiple user- specified coordinate scattering centers (CSCs); the mode coefficients are found numerically by least-squares fitting all boundary conditions at discrete points along the relevant interfaces while at the same time obeying radiation conditions. SAMM results are compared with a completely different method: the Half-Space Born Approximation (HSBA). Good agreement beten methods serves as algorithm validation.
['Ann W. Morgenthaler', 'He Zhan', 'Carey M. Rappaport']
I am writing a research paper on a idea Semi-Analytic Mode Matching (SAMM) algorithm for efficient computation of nearfield scattering in lossy ground from borehole sources
[{"from": "human", "value": "I am writing a research paper on a idea Semi-Analytic Mode Matching (SAMM) algorithm for efficient computation of nearfield scattering in lossy ground from borehole sources"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The 3D semi-analytic mode matching (SAMM) algorithm is used to determine nearfield scattering from underground targets in lossy soil, where the source is a dipole placed within a borehole in the ground. Scattering is described by moderately low-order superpositions of spherical modes placed at multiple user- specified coordinate scattering centers (CSCs); the mode coefficients are found numerically by least-squares fitting all boundary conditions at discrete points along the relevant interfaces while at the same time obeying radiation conditions. SAMM results are compared with a completely different method: the Half-Space Born Approximation (HSBA). Good agreement beten methods serves as algorithm validation."}]