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ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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ZENODO
Software . 2023
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2023
License: CC BY
Data sources: Datacite
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Transdimensional hierarchical Bayesian inversion of phase and group velocity

Authors: Pachhai, Surya;

Transdimensional hierarchical Bayesian inversion of phase and group velocity

Abstract

This code performs joint inversion of phase and group velocities applying transdimensional Bayesian inversion. 1-D earth model is parameterized using layer interface model. This code also allows to interact the chains so that faster convergence is achieved. For more details, we refer to the following publications: 1) Pachhai., S., M. Li, M.S. Thorne, J. Dettmer, and H. Tkalcic (2022), Internal structure of ultralow-velicity zones consistent with origin from a basal magma ocean, Nature Geoscience, 15(1), 79-84. 2) Manu-Marfo, D., Aoudia, A., Pachhai, S., and R. Kherchouche (2019), 3D shear wave velocity model of the crust and uppermost mantle beneath the Tyrrhenian basin and margins, Scientific Reports, 9:3609, https://doi.org/10.1038/s41598-019-40510-z. 3) Pachhai, S., J. Dettmer, and H. Tkalčić (2015), Ultra-low velocity zones beneath the Philippine and Tasman Seas revealed by trans-dimensional Bayesian waveform inversion, Geophysical Journal International, 203 (2), 1302-1318, doi:10.1093/gji/ggv368 4) Pachhai, S., H. Tkalčić, and J. Dettmer (2014), Bayesian inference for ultralow velocity zones in the Earth’s lowermost mantle: complex ULVZ beneath the east of Philippines, Journal of Geophysical Research, 11(119), 8346-8365, doi: 10.1002/2014JB011067. 5) Dettmer, J., Molnar, S., Steininger, G., Dosso, S.E. & Cassidy, J.F., 2012. Trans-dimensional inversion of micrometer array dispersion data with hierarchical autoregressive error models, Geophys. J. Int., 188, 719–734 6) Thapa, H.R., S. Pachhai, A. Aoudia, D. Manu-Marfo, K. Priestley, and S. Mitra (2023), Crustal structure and discontinuities beneath the Nepal Himalaya using seismic ambient noise and teleseismic P wave coda autocorrelation, Journal of Geophysical Research,

{"references": ["Pachhai., S., M. Li, M.S. Thorne, J. Dettmer, and H. Tkalcic (2022), Internal structure of ultralow-velicity zones consistent with origin from a basal magma ocean, Nature Geoscience, 15(1), 79-84.", "Manu-Marfo, D., Aoudia, A., Pachhai, S., and R. Kherchouche (2019), 3D shear wave velocity model of the crust and uppermost mantle beneath the Tyrrhenian basin and margins, Scientific Reports, 9:3609, https://doi.org/10.1038/s41598-019-40510-z.", "Pachhai, S., J. Dettmer, and H. Tkal\u010di\u0107 (2015), Ultra-low velocity zones beneath the Philippine and Tasman Seas revealed by trans-dimensional Bayesian waveform inversion, Geophysical Journal International, 203 (2), 1302-1318, doi:10.1093/gji/ggv368", "Pachhai, S., H. Tkal\u010di\u0107, and J. Dettmer (2014), Bayesian inference for ultralow velocity zones in the Earth's lowermost mantle: complex ULVZ beneath the east of Philippines, Journal of Geophysical Research, 11(119), 8346-8365, doi: 10.1002/2014JB011067.", "Dettmer, J., Molnar, S., Steininger, G., Dosso, S.E. & Cassidy, J.F., 2012. Trans-dimensional inversion of micrometer array dispersion data with hierarchical autoregressive error models, Geophys. J. Int., 188, 719\u2013734", "Thapa, H.R., S. Pachhai, A. Aoudia, D. Manu-Marfo, K. Priestley, and S. Mitra (2023), Crustal structure and discontinuities beneath the Nepal Himalaya using seismic ambient noise and teleseismic P wave coda autocorrelation, Journal of Geophysical Research,"]}

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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