Compare commits

...

5 Commits

4 changed files with 102 additions and 35 deletions

View File

@ -11,7 +11,7 @@ PILOT has originally been developed in Mathworks' MatLab. In order to distribute
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 and AlpArray.
The development of PyLoT is part of the joint research project MAGS2, AlpArray and AdriaArray.
## Installation
@ -27,28 +27,30 @@ Afterwards run (from the PyLoT main directory where the files *requirements.txt*
conda env create -f pylot.yml
or
conda create --name pylot_38 --file requirements.txt
conda create -c conda-forge --name pylot_311 python=3.11 --file requirements.txt
to create a new Anaconda environment called "pylot_38".
to create a new Anaconda environment called *pylot_311*.
Afterwards activate the environment by typing
conda activate pylot_38
conda activate pylot_311
#### Prerequisites:
In order to run PyLoT you need to install:
- Python 3
- obspy
- pyside2
- pyqtgraph
- cartopy
- joblib
- obspy
- pyaml
- pyqtgraph
- pyside2
(the following are already dependencies of the above packages):
- scipy
- numpy
- matplotlib <= 3.3.x
- matplotlib
#### Some handwork:
@ -108,4 +110,4 @@ Others: A. Bruestle, T. Meier, W. Friederich
[ObsPy]: http://github.com/obspy/obspy/wiki
April 2022
August 2024

View File

@ -1,16 +1,12 @@
name: pylot_38
name: pylot_311
channels:
- conda-forge
- defaults
dependencies:
- cartopy=0.20.2
- matplotlib-base=3.3.4
- numpy=1.22.3
- obspy=1.3.0
- pyqtgraph=0.12.4
- pyside2>=5.13.2
- python=3.8.12
- qt>=5.12.9
- scipy=1.8.0
- pyaml=6.0.1
- joblib=1.4.2
- cartopy=0.23.0=py311hcf9f919_1
- joblib=1.4.2=pyhd8ed1ab_0
- obspy=1.4.1=py311he736701_3
- pyaml=24.7.0=pyhd8ed1ab_0
- pyqtgraph=0.13.7=pyhd8ed1ab_0
- pyside2=5.15.8=py311h3d699ce_4
- pytest=8.3.2=pyhd8ed1ab_0

View File

@ -1,14 +1,7 @@
# This file may be used to create an environment using:
# $ conda create --name <env> --file <this file>
# platform: win-64
cartopy=0.20.2
matplotlib-base=3.3.4
numpy=1.22.3
obspy=1.3.0
pyqtgraph=0.12.4
pyside2=5.13.2
python=3.8.12
qt=5.12.9
scipy=1.8.0
pyaml=6.0.1
joblib=1.4.2
Cartopy==0.23.0
joblib==1.4.2
obspy==1.4.1
pyaml==24.7.0
pyqtgraph==0.13.7
PySide2==5.15.8
pytest==8.3.2

View File

@ -0,0 +1,76 @@
import pytest
from obspy import read, Trace, UTCDateTime
from pylot.correlation.pick_correlation_correction import XCorrPickCorrection
class TestXCorrPickCorrection():
def setup(self):
self.make_test_traces()
self.make_test_picks()
self.t_before = 2.
self.t_after = 2.
self.cc_maxlag = 0.5
def make_test_traces(self):
# take first trace of test Stream from obspy
tr1 = read()[0]
# filter trace
tr1.filter('bandpass', freqmin=1, freqmax=20)
# make a copy and shift the copy by 0.1 s
tr2 = tr1.copy()
tr2.stats.starttime += 0.1
self.trace1 = tr1
self.trace2 = tr2
def make_test_picks(self):
# create an artificial reference pick on reference trace (trace1) and another one on the 0.1 s shifted trace
self.tpick1 = UTCDateTime('2009-08-24T00:20:07.7')
# shift the second pick by 0.2 s, the correction should be around 0.1 s now
self.tpick2 = self.tpick1 + 0.2
def test_slice_trace_okay(self):
self.setup()
xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
t_before=self.t_before, t_after=self.t_after, cc_maxlag=self.cc_maxlag)
test_trace = self.trace1
pick_time = self.tpick2
sliced_trace = xcpc.slice_trace(test_trace, pick_time)
assert ((sliced_trace.stats.starttime == pick_time - self.t_before - self.cc_maxlag / 2)
and (sliced_trace.stats.endtime == pick_time + self.t_after + self.cc_maxlag / 2))
def test_slice_trace_fails(self):
self.setup()
test_trace = self.trace1
pick_time = self.tpick1
with pytest.raises(ValueError):
xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
t_before=self.t_before + 20, t_after=self.t_after, cc_maxlag=self.cc_maxlag)
xcpc.slice_trace(test_trace, pick_time)
with pytest.raises(ValueError):
xcpc = XCorrPickCorrection(UTCDateTime(), Trace(), UTCDateTime(), Trace(),
t_before=self.t_before, t_after=self.t_after + 50, cc_maxlag=self.cc_maxlag)
xcpc.slice_trace(test_trace, pick_time)
def test_cross_correlation(self):
self.setup()
# create XCorrPickCorrection object
xcpc = XCorrPickCorrection(self.tpick1, self.trace1, self.tpick2, self.trace2, t_before=self.t_before,
t_after=self.t_after, cc_maxlag=self.cc_maxlag)
# execute correlation
correction, cc_max, uncert, fwfm = xcpc.cross_correlation(False, '', '')
# define awaited test result
test_result = (-0.09983091718314982, 0.9578431835689154, 0.0015285160561610929, 0.03625786256084631)
# check results
assert pytest.approx(test_result, rel=1e-6) == (correction, cc_max, uncert, fwfm)