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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