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20
README.md
20
README.md
@ -11,7 +11,7 @@ PILOT has originally been developed in Mathworks' MatLab. In order to distribute
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problems, it has been decided to redevelop the software package in Python. The great work of the ObsPy group allows easy
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handling of a bunch of seismic data and PyLoT will benefit a lot compared to the former MatLab version.
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The development of PyLoT is part of the joint research project MAGS2 and AlpArray.
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The development of PyLoT is part of the joint research project MAGS2, AlpArray and AdriaArray.
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## Installation
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@ -27,28 +27,30 @@ Afterwards run (from the PyLoT main directory where the files *requirements.txt*
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conda env create -f pylot.yml
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or
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conda create --name pylot_38 --file requirements.txt
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conda create -c conda-forge --name pylot_311 python=3.11 --file requirements.txt
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to create a new Anaconda environment called "pylot_38".
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to create a new Anaconda environment called *pylot_311*.
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Afterwards activate the environment by typing
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conda activate pylot_38
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conda activate pylot_311
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#### Prerequisites:
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In order to run PyLoT you need to install:
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- Python 3
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- obspy
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- pyside2
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- pyqtgraph
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- cartopy
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- joblib
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- obspy
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- pyaml
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- pyqtgraph
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- pyside2
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(the following are already dependencies of the above packages):
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- scipy
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- numpy
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- matplotlib <= 3.3.x
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- matplotlib
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#### Some handwork:
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@ -108,4 +110,4 @@ Others: A. Bruestle, T. Meier, W. Friederich
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[ObsPy]: http://github.com/obspy/obspy/wiki
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April 2022
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August 2024
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pylot.yml
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pylot.yml
@ -1,16 +1,12 @@
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name: pylot_38
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name: pylot_311
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channels:
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- conda-forge
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- defaults
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dependencies:
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- cartopy=0.20.2
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- matplotlib-base=3.3.4
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- numpy=1.22.3
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- obspy=1.3.0
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- pyqtgraph=0.12.4
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- pyside2>=5.13.2
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- python=3.8.12
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- qt>=5.12.9
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- scipy=1.8.0
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- pyaml=6.0.1
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- joblib=1.4.2
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- cartopy=0.23.0=py311hcf9f919_1
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- joblib=1.4.2=pyhd8ed1ab_0
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- obspy=1.4.1=py311he736701_3
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- pyaml=24.7.0=pyhd8ed1ab_0
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- pyqtgraph=0.13.7=pyhd8ed1ab_0
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- pyside2=5.15.8=py311h3d699ce_4
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- pytest=8.3.2=pyhd8ed1ab_0
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@ -1,14 +1,7 @@
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# This file may be used to create an environment using:
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# $ conda create --name <env> --file <this file>
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# platform: win-64
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cartopy=0.20.2
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matplotlib-base=3.3.4
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numpy=1.22.3
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obspy=1.3.0
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pyqtgraph=0.12.4
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pyside2=5.13.2
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python=3.8.12
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qt=5.12.9
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scipy=1.8.0
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pyaml=6.0.1
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joblib=1.4.2
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Cartopy==0.23.0
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joblib==1.4.2
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obspy==1.4.1
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pyaml==24.7.0
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pyqtgraph==0.13.7
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PySide2==5.15.8
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pytest==8.3.2
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@ -0,0 +1,76 @@
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import pytest
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from obspy import read, Trace, UTCDateTime
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from pylot.correlation.pick_correlation_correction import XCorrPickCorrection
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class TestXCorrPickCorrection():
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def setup(self):
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self.make_test_traces()
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self.make_test_picks()
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self.t_before = 2.
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self.t_after = 2.
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self.cc_maxlag = 0.5
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def make_test_traces(self):
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# take first trace of test Stream from obspy
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tr1 = read()[0]
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# filter trace
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tr1.filter('bandpass', freqmin=1, freqmax=20)
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# make a copy and shift the copy by 0.1 s
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tr2 = tr1.copy()
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tr2.stats.starttime += 0.1
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self.trace1 = tr1
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self.trace2 = tr2
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def make_test_picks(self):
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# create an artificial reference pick on reference trace (trace1) and another one on the 0.1 s shifted trace
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self.tpick1 = UTCDateTime('2009-08-24T00:20:07.7')
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# shift the second pick by 0.2 s, the correction should be around 0.1 s now
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self.tpick2 = self.tpick1 + 0.2
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def test_slice_trace_okay(self):
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self.setup()
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xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
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t_before=self.t_before, t_after=self.t_after, cc_maxlag=self.cc_maxlag)
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test_trace = self.trace1
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pick_time = self.tpick2
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sliced_trace = xcpc.slice_trace(test_trace, pick_time)
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assert ((sliced_trace.stats.starttime == pick_time - self.t_before - self.cc_maxlag / 2)
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and (sliced_trace.stats.endtime == pick_time + self.t_after + self.cc_maxlag / 2))
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def test_slice_trace_fails(self):
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self.setup()
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test_trace = self.trace1
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pick_time = self.tpick1
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with pytest.raises(ValueError):
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xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
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t_before=self.t_before + 20, t_after=self.t_after, cc_maxlag=self.cc_maxlag)
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xcpc.slice_trace(test_trace, pick_time)
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with pytest.raises(ValueError):
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xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
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t_before=self.t_before, t_after=self.t_after + 50, cc_maxlag=self.cc_maxlag)
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xcpc.slice_trace(test_trace, pick_time)
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def test_cross_correlation(self):
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self.setup()
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# create XCorrPickCorrection object
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xcpc = XCorrPickCorrection(self.tpick1, self.trace1, self.tpick2, self.trace2, t_before=self.t_before,
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t_after=self.t_after, cc_maxlag=self.cc_maxlag)
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# execute correlation
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correction, cc_max, uncert, fwfm = xcpc.cross_correlation(False, '', '')
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# define awaited test result
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test_result = (-0.09983091718314982, 0.9578431835689154, 0.0015285160561610929, 0.03625786256084631)
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# check results
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assert pytest.approx(test_result, rel=1e-6) == (correction, cc_max, uncert, fwfm)
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