COMPOSTI: A Python']Python-based program for seismic trans-dimensional inversion

被引：0

作者：

Niskanen, Matti ^{[1
]}

Lahivaara, Timo ^{[1
]}

机构：

[1] Univ Eastern Finland, Dept Appl Phys, Yliopistonranta 1, FIN-70211 Kuopio, Finland

来源：

SOFTWAREX | 2023年 / 21卷

基金：

芬兰科学院;

关键词：

Seismic inversion; Trans-dimensional Markov chain Monte; Carlo; Reflectivity method; CHAIN MONTE-CARLO; SPECTRAL ELEMENT METHOD; REFLECTIVITY METHOD; BAYESIAN INVERSION; PART; COMPUTATION; DISPERSION; SELECTION;

D O I：

10.1016/j.softx.2022.101298

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

We introduce COMPOSTI a software package to COMpute the POsterior from Seismograms using Trans-dimensional Inversion. COMPOSTI is intended to facilitate the adoption of fully probabilistic seismic inversion, and can be modified to suit a range of cases from near-surface to large scale inversions. COMPOSTI models 3D elastic wave propagation from point sources, assuming a layer model where the subsurface properties only change with depth. Trans-dimensional inversion is carried out using a parallel-tempered reversible jump Markov chain Monte Carlo algorithm.(c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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页数：6

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