Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junliu Suwen"'
Joint Inversion of Receiver Function and Surface Wave Dispersion by Hamiltonian Monte Carlo Sampling
Publikováno v:
Seismological Research Letters. 94:369-384
We have proposed a new probabilistic inversion method to perform the joint inversion of receiver function and surface wave dispersion data. In this method, we apply the Hamiltonian dynamics in the Bayesian framework to efficiently sample the posterio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df50dcb650d5fedd42a253db599a4c3d
https://doi.org/10.1785/0220220044
https://doi.org/10.1785/0220220044
Northeast (NE) China is located in the eastern Central Asian Orogenic Belt, and has a complex deformation history. The evolution of NE China has been controlled by the (Paleo-)Pacific Plate since the late Mesozoic and was affected by the closure of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01057c6fb703401ae9cb5229812a523
https://doi.org/10.5194/egusphere-egu23-4746
https://doi.org/10.5194/egusphere-egu23-4746
Publikováno v:
GEOPHYSICS. 87:JM29-JM40
Surface wave tomography using seismic ambient noise has been applied widely in subsurface characterization, the depth of which ranges from a few meters in urban underground engineering to tens of kilometers in delineation of crustal heterogeneities.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32506e818bc10fa2d3628b80f9136e3a
https://doi.org/10.1190/geo2021-0320.1
https://doi.org/10.1190/geo2021-0320.1
Unscented Kalman inversion is a novel method that uses unscented Kalman filter to solve inverse problems. This paper applies it to inverse multiple geophysical observations simultaneously (i.e., Multi-task unscented Kalman inversion (MUKI)). In this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d5d9136e36bd71f372b832407a3b0fd
https://doi.org/10.1002/essoar.10512157.3
https://doi.org/10.1002/essoar.10512157.3
In the geophysical joint inversion, the gradient and Bayesian Markov Chain Monte Carlo (MCMC) sampling-based methods are widely used owing to their fast convergences or global optimality. However, these methods either require the computation of gradi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8768e3a28225b8d2b02d77e716ce41
Publikováno v:
Geophysical Journal International; Dec2024, Vol. 239 Issue 3, p1425-1440, 16p
Autor:
Zhang, Zhou, Deng, Yangfan
Publikováno v:
Geochemistry, Geophysics, Geosystems: G3; Nov2022, Vol. 23 Issue 11, p1-18, 18p
Autor:
He, Yang, Chen, Qi‐Fu, Chen, Ling, Wang, Xin, Guo, Guangrui, Li, Tianjue, Zhang, Kaiwen, Li, Juan, Chen, Yun
Publikováno v:
Geophysical Research Letters; 4/28/2022, Vol. 49 Issue 8, p1-9, 9p