Marcel
71d4269a4f
[minor] Commented out search for network name in metadata filename considered being unsafe |
||
|---|---|---|
| docs | ||
| help | ||
| icons | ||
| inputs | ||
| pylot | ||
| splash | ||
| tests | ||
| .gitignore | ||
| .mailmap | ||
| autoPyLoT.py | ||
| autopylot.sh | ||
| icons_rc_2.py | ||
| icons_rc_3.py | ||
| icons.qrc | ||
| LICENSE | ||
| makePyLoT.py | ||
| PyLoT.py | ||
| pylot.yml | ||
| README.md | ||
| requirements.txt | ||
PyLoT
version: 0.3
The Python picking and Localisation Tool
This python library contains a graphical user interfaces for picking seismic phases. This software needs ObsPy and the PySide2 Qt5 bindings for python to be installed first.
PILOT has originally been developed in Mathworks' MatLab. In order to distribute PILOT without facing portability problems, it has been decided to redevelop the software package in Python. The great work of the ObsPy group allows easy handling of a bunch of seismic data and PyLoT will benefit a lot compared to the former MatLab version.
The development of PyLoT is part of the joint research project MAGS2, AlpArray and AdriaArray.
Installation
At the moment there is no automatic installation procedure available for PyLoT. Best way to install is to clone the repository and add the path to your Python path.
It is highly recommended to use Anaconda for a simple creation of a Python installation using either the pylot.yml or the requirements.txt file found in the PyLoT root directory. First make sure that the conda-forge channel is available in your Anaconda installation:
conda config --add channels conda-forge
Afterwards run (from the PyLoT main directory where the files requirements.txt and pylot.yml are located)
conda env create -f pylot.yml
or
conda create -c conda-forge --name pylot_311 python=3.11 --file requirements.txt
to create a new Anaconda environment called pylot_311.
Afterwards activate the environment by typing
conda activate pylot_311
Prerequisites:
In order to run PyLoT you need to install:
- Python 3
- cartopy
- joblib
- obspy
- pyaml
- pyqtgraph
- pyside2
(the following are already dependencies of the above packages):
- scipy
- numpy
- matplotlib
Some handwork:
Some extra information on error estimates (just needed for reading old PILOT data) and the Richter magnitude scaling relation
cp path-to-pylot/inputs/PILOT_TimeErrors.in path-to-pylot/inputs/richter_scaling.data ~/.pylot/
You may need to do some modifications to these files. Especially folder names should be reviewed.
PyLoT has been tested on Mac OSX (10.11), Debian Linux 8 and on Windows 10/11.
Example Dataset
An example dataset with waveform data, metadata and automatic picks in the obspy-dmt dataset format for testing the teleseismic picking can be found at https://zenodo.org/doi/10.5281/zenodo.13759803
Release notes
Features:
- event organisation in project files and waveform visualisation
- consistent manual phase picking through predefined SNR dependant zoom level
- consistent automatic phase picking routines using Higher Order Statistics, AIC and Autoregression
- pick correlation correction for teleseismic waveforms
- interactive tuning of auto-pick parameters
- uniform uncertainty estimation from waveform's properties for automatic and manual picks
- pdf representation and comparison of picks taking the uncertainty intrinsically into account
- Richter and moment magnitude estimation
- location determination with external installation of NonLinLoc
Known issues:
Current release is still in development progress and has several issues. We are currently lacking manpower, but hope to assess many of the issues in the near future.
Staff
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Developer(s): S. Wehling-Benatelli, M. Paffrath, L. Kueperkoch, K. Olbert, M. Bischoff, C. Wollin, M. Rische, D. Arnold, K. Cökerim, S. Zimmermann
Others: A. Bruestle, T. Meier, W. Friederich
September 2024