Characterizing seismic moment tensors of small‐ to moderate‐magnitude earthquakes (i.e., 2.5<M<4.0) still represents a challenge in observational seismology. To address this problem, inversion methods based on fitting the first‐motion polarity and/or the amplitude ratios of the recorded waves have been designed, and where possible, the full waveform inversions were also used. The inversions that include a combination of subsets of data are desirable, but the weighting of each subset is typically treated in an ad hoc manner. In order to circumvent this problem, here we develop a new method in a Bayesian framework, which apart from the model‐parameter means and uncertainties, also relaxes the weighting scheme as a free hyper‐parameter. We the...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
The polarity of the first motion of a seismic signal from an earthquake is an important constraint i...
We expand a method for seismic moment tensor inversion using probabilistic Bayesian inference, which...
Moment tensor (MT) inversion studies of events in The Geysers geothermal field mostly focused on mic...
One of the most important aspects of seismology is explaining the generation of seismic waves d...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Estimating the mechanisms of small (M<4) earthquakes is quite challenging. A common scenario is that...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
Characterization of seismic sources is an important aspect of seismology. Parameter uncertainties i...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
The polarity of the first motion of a seismic signal from an earthquake is an important constraint i...
We expand a method for seismic moment tensor inversion using probabilistic Bayesian inference, which...
Moment tensor (MT) inversion studies of events in The Geysers geothermal field mostly focused on mic...
One of the most important aspects of seismology is explaining the generation of seismic waves d...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Estimating the mechanisms of small (M<4) earthquakes is quite challenging. A common scenario is that...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
Characterization of seismic sources is an important aspect of seismology. Parameter uncertainties i...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
The analysis of earthquake focal mechanisms provides information about the stress regime, fault geom...
Earthquake source inversion is highly dependent on location determination and velocity models. Uncer...
Rapid stress release at the source of an earthquake produces seismic waves. Observations of the part...
The polarity of the first motion of a seismic signal from an earthquake is an important constraint i...
We expand a method for seismic moment tensor inversion using probabilistic Bayesian inference, which...