BranchesTags

Repository files navigation

PyLoT

version: 0.3

The Python picking and Localisation Tool

main

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

Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann

Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)

Others: A. Bruestle, T. Meier, W. Friederich

March 2025

About

Python picking and Location Tool

Resources

Readme
LGPL-3.0 license
Activity
Custom properties

Stars

15 stars

Watchers

4 watching

Forks

5 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
PyLoT
version: 0.3
The Python picking and Localisation Tool
main
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
Developer(s): M. Paffrath, S. Wehling-Benatelli, L. Kueperkoch, D. Arnold, K. Cökerim, K. Olbert, M. Bischoff, C. Wollin, M. Rische, S. Zimmermann
Original author(s): M. Rische, S. Wehling-Benatelli, L. Kueperkoch, M. Bischoff (PILOT)
Others: A. Bruestle, T. Meier, W. Friederich
March 2025
About
Python picking and Location Tool
Resources
Readme
LGPL-3.0 license
Activity
Custom properties
Stars
15 stars
Watchers
4 watching
Forks
5 forks
Report repository
Releases
Packages
Used by
Contributors
Languages