Welcome to the beampower repository!
About the package
beampower is a package for beamforming (or backprojection) of seismic signal for event detection and location. The Python wrapper
can call the C (CPU) or CUDA-C (GPU) implementation. See the documentation at https://ebeauce.github.io/beampower/.
Installation
The simplest way to use BeamPower:
pip install beampower
GPU support is included if available.
Learn More
- Documentation: https://ebeauce.github.io/beampower/
- Tutorials: See the notebooks in the
notebooks/folder- Download seismic data
- Pre-process waveforms
- Calculate travel times
- Locate events
For Developers
Clone and install locally:
git clone https://github.com/ebeauce/beampower.git
cd beampower
# option 1:
pip install .
# option 2 (check name of wheel in dist/):
python -m build
pip install dist/beampower-XXXX.whl
If you modify C or CUDA code:
# option 1:
pip install . --no-cache-dir --force-reinstall
# option 2:
# Clean up previous Python and CMake build artifacts
rm -rf build/ dist/
# Re-run the build from scratch
python -m build
# Then reinstall to pick up changes:
pip install --force-reinstall dist/beampower-XXXX.whl
Reference
Please, if you use this package for your research, cite:
Beaucé, Eric and Frank, William B. and Seydoux, Léonard and Poli, Piero and Groebner, Nathan and van der Hilst, Robert D. and Campillo, Michel (2023). BPMF: A Backprojection and Matched‐Filtering Workflow for Automated Earthquake Detection and Location. Seismological Research Letters. DOI: https://doi.org/10.1785/0220230230.
Metadata
Release files for beampower 1.0.4
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| beampower-1.0.4.tar.gz | 850.3 kB | Details |
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| beampower-1.0.4-cp38-abi3-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl | CPython 3.8 | abi3 | Linux glibc 2.35+ x86-64, Linux glibc 2.34+ x86-64 | Details |
| beampower-1.0.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | abi3 | Linux glibc 2.17+ x86-64 | Details |
| beampower-1.0.4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl | CPython 3.8 | abi3 | Linux glibc 2.17+ x86-32 | Details |
| beampower-1.0.4-cp38-abi3-macosx_15_0_arm64.whl | CPython 3.8 | abi3 | macOS 15.0+ ARM64 | Details |
Total release size: 1.7 MB
Release files / beampower-1.0.4.tar.gz
| Download URL | beampower-1.0.4.tar.gz |
|---|---|
| Size | 850.3 kB |
| Tags | Source |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / beampower-1.0.4-cp38-abi3-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl
| Download URL | beampower-1.0.4-cp38-abi3-manylinux_2_34_x86_64.manylinux_2_35_x86_64.whl |
|---|---|
| Size | 381.0 kB |
| Tags | CPython 3.8 Linux glibc 2.34+ x86-64 Linux glibc 2.35+ x86-64 abi3 |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / beampower-1.0.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | beampower-1.0.4-cp38-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 87.8 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 abi3 |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / beampower-1.0.4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl
| Download URL | beampower-1.0.4-cp38-abi3-manylinux_2_17_i686.manylinux2014_i686.whl |
|---|---|
| Size | 90.8 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-32 abi3 |
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No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|
Release files / beampower-1.0.4-cp38-abi3-macosx_15_0_arm64.whl
| Download URL | beampower-1.0.4-cp38-abi3-macosx_15_0_arm64.whl |
|---|---|
| Size | 265.0 kB |
| Tags | CPython 3.8 abi3 macOS 15.0+ ARM64 |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.10.20
|