Articles | Volume 5, issue 2
https://doi.org/10.5194/se-5-1055-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-5-1055-2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Fully probabilistic seismic source inversion – Part 1: Efficient parameterisation
S. C. Stähler
Dept. of Earth and Environmental Sciences, Ludwig-Maximilians-Universität (LMU), Munich, Germany
K. Sigloch
Dept. of Earth Sciences, University of Oxford, South Parks Road, Oxford OX1 3AN, UK
Dept. of Earth and Environmental Sciences, Ludwig-Maximilians-Universität (LMU), Munich, Germany
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45 citations as recorded by crossref.
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- Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. 10.1093/gji/ggab034
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- Seismic moment tensors and estimated uncertainties in southern Alaska V. Silwal & C. Tape 10.1002/2015JB012588
- A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland N. Nooshiri et al. 10.1093/gji/ggab511
- Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field C. Gu et al. 10.1093/gji/ggx517
- A nonlinear approach to assess network performance for moment-tensor studies of long-period signals in volcanic settings F. Lanza & G. Waite 10.1093/gji/ggy338
- Instaseis: instant global seismograms based on a broadband waveform database M. van Driel et al. 10.5194/se-6-701-2015
- Imaging anisotropic layering with Bayesian inversion of multiple data types T. Bodin et al. 10.1093/gji/ggw124
- Accelerating Bayesian microseismic event location with deep learning A. Spurio Mancini et al. 10.5194/se-12-1683-2021
- Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. 10.1093/gji/ggad397
- First Focal Mechanisms of Marsquakes N. Brinkman et al. 10.1029/2020JE006546
- Preparing for InSight: Evaluation of the Blind Test for Martian Seismicity M. van Driel et al. 10.1785/0220180379
- The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
- Full Moment Tensor Analysis of Nuclear Explosions in North Korea C. Alvizuri & C. Tape 10.1785/0220180158
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- Bayesian Seismic Source Inversion With a 3‐D Earth Model of the Japanese Islands S. Simutė et al. 10.1029/2022JB024231
- A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework Y. Halauwet et al. 10.1093/gji/ggae309
- Point source moment tensor inversion through a Bayesian hierarchical model M. Mustać & H. Tkalčić 10.1093/gji/ggv458
- Estimation of Full Moment Tensors, Including Uncertainties, for Nuclear Explosions, Volcanic Events, and Earthquakes C. Alvizuri et al. 10.1029/2017JB015325
- Gradient-based joint inversion of point-source moment tensor and station-specific time-shifts T. Phạm 10.1093/gji/ggae188
- Solving probabilistic inverse problems rapidly with prior samples P. Käufl et al. 10.1093/gji/ggw108
- On the robustness of seismic moment tensor inversions for mid-ocean earthquakes: the Azores archipelago M. Frietsch et al. 10.1093/gji/ggy294
- Seismic moment tensor inversion with theory errors from 2-D Earth structure: implications for the 2009–2017 DPRK nuclear blasts J. Hu et al. 10.1093/gji/ggad348
- Fully probabilistic seismic source inversion – Part 2: Modelling errors and station covariances S. Stähler & K. Sigloch 10.5194/se-7-1521-2016
- Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion B. Dia et al. 10.1016/j.jcp.2024.113431
- COMPOSTI: A Python-based program for seismic trans-dimensional inversion M. Niskanen & T. Lähivaara 10.1016/j.softx.2022.101298
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- A new database of source time functions (STFs) extracted from the SCARDEC method M. Vallée & V. Douet 10.1016/j.pepi.2016.05.012
- Strain-based forward modeling and inversion of seismic moment tensors using distributed acoustic sensing (DAS) observations J. Lecoulant et al. 10.3389/feart.2023.1176921
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- Probabilistic waveform inversion for 22 earthquake moment tensors in Hungary: new constraints on the tectonic stress pattern inside the Pannonian basin Z. Wéber 10.1093/gji/ggv446
- Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. 10.1785/0120200099
- Subducted Lithosphere Under South America From Multifrequency P Wave Tomography A. Mohammadzaheri et al. 10.1029/2020JB020704
- Point‐Source Inversion of Small and Moderate Earthquakes From P‐wave Polarities and P/S Amplitude Ratios Within a Hierarchical Bayesian Framework: Implications for the Geysers Earthquakes X. Shang & H. Tkalčić 10.1029/2019JB018492
- Bayesian regional moment tensor from ocean bottom seismograms recorded in the Lesser Antilles: implications for regional stress field M. Lindner et al. 10.1093/gji/ggac494
- On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering C. Roy & B. Romanowicz 10.1002/2017JB014968
- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
- AxiSEM: broadband 3-D seismic wavefields in axisymmetric media T. Nissen-Meyer et al. 10.5194/se-5-425-2014
44 citations as recorded by crossref.
- The Marsquake Service: Securing Daily Analysis of SEIS Data and Building the Martian Seismicity Catalogue for InSight J. Clinton et al. 10.1007/s11214-018-0567-5
- Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanism D. Piras et al. 10.1093/gji/ggac385
- A Hybrid Deep Learning Model for Rapid Probabilistic Earthquake Source Parameter Estimation With Displacement Waveforms From a Flexible Set of Seismic or HR-GNSS Stations X. Lin et al. 10.1109/TGRS.2023.3334729
- Direct-seismogram inversion for receiver-side structure with uncertain source–time functions J. Dettmer et al. 10.1093/gji/ggv375
- Regional centroid moment tensor inversion of small to moderate earthquakes in the Alps using the dense AlpArray seismic network: challenges and seismotectonic insights G. Petersen et al. 10.5194/se-12-1233-2021
- Resolvability of the Centroid‐Moment‐Tensors for Shallow Seismic Sources and Improvements From Modeling High‐Frequency Waveforms B. Hejrani & H. Tkalčić 10.1029/2020JB019643
- Accounting for theory errors with empirical Bayesian noise models in nonlinear centroid moment tensor estimation H. Vasyura-Bathke et al. 10.1093/gji/ggab034
- Multifrequency measurements of core-diffractedPwaves (Pdiff) for global waveform tomography K. Hosseini & K. Sigloch 10.1093/gji/ggv298
- Seismic moment tensors and estimated uncertainties in southern Alaska V. Silwal & C. Tape 10.1002/2015JB012588
- A multibranch, multitarget neural network for rapid point-source inversion in a microseismic environment: examples from the Hengill Geothermal Field, Iceland N. Nooshiri et al. 10.1093/gji/ggab511
- Waveform-based Bayesian full moment tensor inversion and uncertainty determination for the induced seismicity in an oil/gas field C. Gu et al. 10.1093/gji/ggx517
- A nonlinear approach to assess network performance for moment-tensor studies of long-period signals in volcanic settings F. Lanza & G. Waite 10.1093/gji/ggy338
- Instaseis: instant global seismograms based on a broadband waveform database M. van Driel et al. 10.5194/se-6-701-2015
- Imaging anisotropic layering with Bayesian inversion of multiple data types T. Bodin et al. 10.1093/gji/ggw124
- Accelerating Bayesian microseismic event location with deep learning A. Spurio Mancini et al. 10.5194/se-12-1683-2021
- Bayesian estimation of non-linear centroid moment tensors using multiple seismic data sets M. Hamidbeygi et al. 10.1093/gji/ggad397
- First Focal Mechanisms of Marsquakes N. Brinkman et al. 10.1029/2020JE006546
- Preparing for InSight: Evaluation of the Blind Test for Martian Seismicity M. van Driel et al. 10.1785/0220180379
- The Bayesian Earthquake Analysis Tool H. Vasyura-Bathke et al. 10.1785/0220190075
- Full Moment Tensor Analysis of Nuclear Explosions in North Korea C. Alvizuri & C. Tape 10.1785/0220180158
- Hamiltonian Monte Carlo Inversion of Seismic Sources in Complex Media A. Fichtner & S. Simutė 10.1002/2017JB015249
- Bayesian ISOLA: new tool for automated centroid moment tensor inversion J. Vackář et al. 10.1093/gji/ggx158
- Bayesian Seismic Source Inversion With a 3‐D Earth Model of the Japanese Islands S. Simutė et al. 10.1029/2022JB024231
- A new automated procedure to obtain reliable moment tensor solutions of small to moderate earthquakes (3.0 ≤ M ≤ 5.5) in the Bayesian framework Y. Halauwet et al. 10.1093/gji/ggae309
- Point source moment tensor inversion through a Bayesian hierarchical model M. Mustać & H. Tkalčić 10.1093/gji/ggv458
- Estimation of Full Moment Tensors, Including Uncertainties, for Nuclear Explosions, Volcanic Events, and Earthquakes C. Alvizuri et al. 10.1029/2017JB015325
- Gradient-based joint inversion of point-source moment tensor and station-specific time-shifts T. Phạm 10.1093/gji/ggae188
- Solving probabilistic inverse problems rapidly with prior samples P. Käufl et al. 10.1093/gji/ggw108
- On the robustness of seismic moment tensor inversions for mid-ocean earthquakes: the Azores archipelago M. Frietsch et al. 10.1093/gji/ggy294
- Seismic moment tensor inversion with theory errors from 2-D Earth structure: implications for the 2009–2017 DPRK nuclear blasts J. Hu et al. 10.1093/gji/ggad348
- Fully probabilistic seismic source inversion – Part 2: Modelling errors and station covariances S. Stähler & K. Sigloch 10.5194/se-7-1521-2016
- Greedy selection of optimal location of sensors for uncertainty reduction in seismic moment tensor inversion B. Dia et al. 10.1016/j.jcp.2024.113431
- COMPOSTI: A Python-based program for seismic trans-dimensional inversion M. Niskanen & T. Lähivaara 10.1016/j.softx.2022.101298
- Fully probabilistic seismic source inversion – Part 1: Efficient parameterisation S. Stähler & K. Sigloch 10.5194/se-5-1055-2014
- A new database of source time functions (STFs) extracted from the SCARDEC method M. Vallée & V. Douet 10.1016/j.pepi.2016.05.012
- Strain-based forward modeling and inversion of seismic moment tensors using distributed acoustic sensing (DAS) observations J. Lecoulant et al. 10.3389/feart.2023.1176921
- Toward Improving Point‐Source Moment‐Tensor Inference by Incorporating 1D Earth Model's Uncertainty: Implications for the Long Valley Caldera Earthquakes T. Phạm & H. Tkalčić 10.1029/2021JB022477
- Probabilistic waveform inversion for 22 earthquake moment tensors in Hungary: new constraints on the tectonic stress pattern inside the Pannonian basin Z. Wéber 10.1093/gji/ggv446
- Probabilistic Moment Tensor Inversion for Hydrocarbon-Induced Seismicity in the Groningen Gas Field, The Netherlands, Part 1: Testing D. Kühn et al. 10.1785/0120200099
- Subducted Lithosphere Under South America From Multifrequency P Wave Tomography A. Mohammadzaheri et al. 10.1029/2020JB020704
- Point‐Source Inversion of Small and Moderate Earthquakes From P‐wave Polarities and P/S Amplitude Ratios Within a Hierarchical Bayesian Framework: Implications for the Geysers Earthquakes X. Shang & H. Tkalčić 10.1029/2019JB018492
- Bayesian regional moment tensor from ocean bottom seismograms recorded in the Lesser Antilles: implications for regional stress field M. Lindner et al. 10.1093/gji/ggac494
- On the Implications of A Priori Constraints in Transdimensional Bayesian Inversion for Continental Lithospheric Layering C. Roy & B. Romanowicz 10.1002/2017JB014968
- Estimation of Seismic Moment Tensors Using Variational Inference Machine Learning A. Steinberg et al. 10.1029/2021JB022685
1 citations as recorded by crossref.
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