This software is no longer being updated. Please consider adopting our new software, SEIS_FILO (https://github.com/akuhara/SEIS_FILO), which offers enhanced features like joint inversion with dispersion curves.
Transdimensional inversion of receiver function waveforms by reversible-jump Markov-chain Monte Carlo
(c) 2018-2019 Takeshi Akuhara (Email: akuhara @ eri.u-tokyo.ac.jp)
Any bug report and suggestions are welcome!
- Applicable to OBS & borehole station
- Model can include the sea water on its top. Also the station may be buried.
- Multiple input traces
- Can asign different ray parameter and Gaussian-filter for each trace.
- Can use S receiver functions
- Joint inversion of P and S receiver functions is also possible.
- Parallel tempering
- More efficient than conventional MCMC.
- Invert for velocity perturbation
- Non-uniqueness of inversion can be mitigated by constraint from a reference velocity model.
See Wiki for more details.
- Please clarify the URL of the GitHub repository (https://github.com/akuhara/RF_INV) and developer's name (Takeshi Akuhara) when you make any presentation or publish articles using this program.
- This program is licensed under the GNU General Public License v3.0.
A manual is available here.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent