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توضیحات

Repeating earthquake discovery using cross-correlation and differential arrival times

ویژگی	مقدار
سیستم عامل	-
نام فایل	findres-1.0.1
نام	findres
نسخه کتابخانه	1.0.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Monica Sugan, Stefano Campanella
ایمیل نویسنده	msugan@inogs.it, scampanella@inogs.it
آدرس صفحه اصلی	https://github.com/msugan/pyres
آدرس اینترنتی	https://pypi.org/project/findres/
مجوز	-

# FINDRES A Python code for detecting true Repeating Earthquakes from Self-similar Waveforms (FINDRES) # Abstract The software package FINDRES is an open-source seismological software. FINDRES is designed to discriminate repeating earthquakes starting from a family of candidate repeating earthquakes, based on the cross-correlation values and S-P time difference between pairs of earthquakes (estimated using cross-spectrum). # Motivation and significance The code FINDRES is inspired to previously published methods that combine both seismic waveform similarity, using cross-correlation function, and differential S-P travel time measured at each seismic station (Chen et al., 2008 and Shakibay Senobari and Funning, 2019). The code is versatile and works with and without P and S-wave phase pickings. At the moment the reading of phases in Hypoellipse (Lahr 1999), Hypoinverse (Klein, 2002), NonlinLoc (Lomax et al. 2000), and QuakeML (https://quake.ethz.ch/quakeml) format are implemented. The code has been tested using synthetic and real data, providing accurate results. It contributes to the implementations of open-source Python packages in seismology aiming to support the activities of researchers and the reproducibility of scientific results. # Requirements Python installed to run the program (version 3.8 or more) is required [http://python.org]. # How to use it The package has few dependencies; the recommended way of installing them is via the Conda package manager. You can create a test environment using ```console foo@bar ~ % conda create -n findres-test python=3.8 numpy=1.21 pandas tqdm pyyaml obspy -c conda-forge ``` Remember to activate the environment with ```console foo@bar ~ % conda activate findres-test ``` The package multitaper is required, you can install it using `pip` ```console foo@bar ~ % pip install multitaper ``` The package FINDRES is registered on PyPi, you can install it using `pip` ```console (findres-test) foo@bar ~ % pip install findres ``` Otherwise, you can download or clone this repository in a specific path, then add `FINDRES/bin` to `PATH` and `FINDRES` to `PYTHONPATH`. This is useful if you want to modify the code, work with your own version of the code, get the latest one, or to extend [custom_formats.py](findres/custom_formats.py) to support your own formats. For example, if the repository is located at `/home/foo/dev/FINDRES` you can append the new paths to the relevant environment variables with ```console (findres-test) foo@bar ~ % export PATH=$PATH:/home/foo/dev/FINDRES/bin (findres-test) foo@bar ~ % export PYTHONPATH=$PYTHONPATH:/home/foo/dev/FINDRES ``` After that, you'll have the `findres` script in your path (you can check using `which` that you are calling the script located at the right path). ```console (findres-test) foo@bar ~ % findres --help usage: ./bin/findres [-h] [--phase_file PHASE_FILE] [--phase_type {hypoinv,nll,quakeml,hypoel,rise_custom,hyposynth}] [--taup_model TAUP_MODEL] [--rebuild_model] [--graphics_dir GRAPHICS_DIR] [--graphics_format GRAPHICS_FORMAT] [--hypodd] [--include INCLUDE] [--log LOG] [--progress] catalogue inventory parameters output positional arguments: catalogue Modified ZMAP catalogue containing repeater candidates, their MSEED location, and names inventory Inventory of the stations data parameters Numerical parameters file output Output YAML file optional arguments: -h, --help show this help message and exit --phase_file PHASE_FILE Catalogue containing the phase picking and other information if available (default: None) --phase_type {hypoinv,nll,quakeml,hypoel,rise_custom,hyposynth} Type of PHASE_FILE (default: None) --picker Enable picker (default: False) --taup_model TAUP_MODEL Velocity model file without extension (assumed to be .tvel) if available (default: None) --rebuild_model Force the rebuild of the velocity model (regenerate ObsPy local cache) (default: False) --graphics_dir GRAPHICS_DIR Where to put the graphics relative to OUTPUT_DIR, if not specified the graphics is not generated (default: None) --graphics_format GRAPHICS_FORMAT Graphics format, must be one of the extensions recognized by matplotlib (default: pdf) --hypodd Whether to output hypodd input files (default: False) --include INCLUDE Include only the listed events from catalogue (default: None) --log LOG Log level (default: warning) --progress Show progress bar (default: False) ``` You can run a test using the [data provided in this repository](data/california) and accessing the following folder ```console (findres-test) foo@bar ~ % cd /home/foo/dev/FINDRES/data/california ``` For example the command to analyse the data and produce graphics while showing a progress bar is ```console (findres-test) foo@bar california % findres cre.zmap inventory.xml parameters.yaml results_reference --phase_file=phases_hypoinv.txt --phase_type=hypoinv --taup_model=ncmodel --graphics_dir=figures --progress ``` The command to analyse the data without graphics (speeding up the time computation) while showing a progress bar is ```console (findres-test) foo@bar california % findres cre.zmap inventory.xml parameters.yaml results_reference --phase_file=phases_hypoinv.txt --phase_type=hypoinv --taup_model=ncmodel --progress ``` The command to analyse the data without graphics (speeding up the time computation) and producing the HypodDD output file while showing a progress bar is ```console (findres-test) foo@bar california % findres cre.zmap inventory.xml parameters.yaml results_reference --phase_file=phases_hypoinv.txt --phase_type=hypoinv --taup_model=ncmodel --progress --hypodd ``` The Hypodd output file can be used to locate the events. HypoDD software (Waldhauser, F., and W.L. Ellsworth 2000) must be installed. To run an exmaple you can accesss the following directory: ```console (findres-test) foo@bar california % cd Hypodd_svd_1_RES ``` and type: ```console (findres-test) foo@bar Hypodd_svd_1_RES % HypoDD hypoDD.inp ``` The numerical parameters are set using the `parameters.yaml` file. The name of the fields are self-explicative and more extensive information can be found in the [provided example](data/california/parameters.yaml). # References Sugan, M., Campanella, S., Vuan, A., and Shakibay Senobari, N., (2022). A Python Code for detecting true Repeating Earthquakes from Self-similar Waveforms (FINDRES). Submitted Shakibay Senobari, N., and Funning, G. J., (2019). Widespread Fault Creep in the Northern San Francisco Bay Area Revealed by Multistation Cluster Detection of Repeating Earthquakes, Geophysical Research Letters, 46(12), 6425-6434, https://doi.org/10.1029/2019GL082766. Chen, K. H., Nadeau, R. M, and Rau, R.-J. (2008). Characteristic repeating microearthquakes on an arc-continent collision boundary – the Chihshang fault of eastern Taiwan, Earth Planet. Sci. Lett., 276, 262–272, https://doi.org/10.1016/j.epsl.2008.09.021.

زبان مورد نیاز

مقدار	نام
~=3.8	Python

نحوه نصب

نصب پکیج whl findres-1.0.1:

pip install findres-1.0.1.whl

نصب پکیج tar.gz findres-1.0.1:

pip install findres-1.0.1.tar.gz