Abstract In this paper GravPSO2D , a Matlab tool for two-dimensional gravity inversion in sedimentary basins using the Particle Swarm Optimization (PSO) algorithm, is presented. The package consists of a collection of functions and scripts that cover the main three parts of the process: (1) the model definition based on the observations, (2) the inversion itself, where the PSO is employed, and (3) the results processing, including best model estimation, uncertainty analysis and plots generation. GravPSO2D is freely available, and represents an effort for providing the scientific community with the first tool based on the PSO algorithm in order perform the inversion and the uncertainty assessment of the sedimentary basin gravity inversion problem, taking into account the gravity regional trend estimation, and vertically and horizontally density contrast variations. Synthetic and real examples are provided in order to show the software capabilities.

中文翻译：

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GravPSO2D：使用粒子群优化算法在沉积盆地中进行二维重力反演的 Matlab 包

摘要 在本文中，GravPSO2D 是一种使用粒子群优化(PSO) 算法在沉积盆地中进行二维重力反演的Matlab 工具。该包由一组函数和脚本组成，涵盖了该过程的三个主要部分：(1) 基于观测的模型定义，(2) 反演本身，其中使用了 PSO，以及 (3) 结果处理，包括最佳模型估计、不确定性分析和绘图生成。GravPSO2D 是免费提供的，代表了为科学界提供第一个基于 PSO 算法的工具，以便在考虑重力区域趋势估计的情况下对沉积盆地重力反演问题进行反演和不确定性评估，以及垂直和水平密度对比度变化。提供了合成和真实示例以展示软件功能。