Trouble Matching Synthetics with Observed data
- Dominant language
- Python
- Stars
- 72
- Forks
- 27
- PR merge metrics
- No merged PRs in 30d
Description
I want to make the green's functions for 1D local velocity model with these parameters:
freqmin = 0.025
freqmax = 1.0
npts = int(2048)
dt = 0.02
The synthetics have been generated. But it is difficult to match the waveforms. The output parameters looks like this.
Deviatoric Moment Tensor Inversion
Depth = 5.0000 km
Mw = -0.42
Percent DC/CLVD/ISO = 28/72/0
VR = 0.00%
Deviatoric Moment Tensor Inversion
Depth = 15.0000 km
Mw = -0.25
Percent DC/CLVD/ISO = 79/21/0
VR = 0.01%
Additionally, I have attached the waveform fits. Please inform me if any errors are present in my approach.
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Research direction
No repository files, tests, or entry points are named. Start by reproducing the 1D local velocity-model run with the stated frequency, sample-count, and time-step parameters, then compare the generated synthetics with the observed waveform fits and document the cause of the mismatch.
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Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100