| Name | multipac-testbench JSON |
| Version |
1.8.2
JSON |
| download |
| home_page | None |
| Summary | Post-treat the data produced by the MULTIPAC test bench. |
| upload_time | 2025-08-01 16:07:39 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.11 |
| license | None |
| keywords |
post treatment
multipactor
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# MULTIPAC testbench
This library is designed to post-treat the data from the MULTIPAC multipactor test bench at LPSC, Grenoble, France.
## Installation
### Users
1. Create a dedicated Python environment, activate it.
2. Run `pip install multipac_testbench`
> [!NOTE]
> If you are completely new to Python and these instructions are unclear, check [this tutorial](https://python-guide.readthedocs.io/en/latest/).
> In particular, you will want to:
> 1. [Install Python](https://python-guide.readthedocs.io/en/latest/starting/installation/) 3.11 or higher.
> 2. [Learn to use Python environments](https://python-guide.readthedocs.io/en/latest/dev/virtualenvs/), `pipenv` or `virtualenv`.
> 3. [Install a Python IDE](https://python-guide.readthedocs.io/en/latest/dev/env/#ides) such as Spyder or VSCode.
### Developers
1. Clone the repository:
`git clone git@github.com:AdrienPlacais/multipac_testbench.git`
2. Create a dedicated Python environment, activate it.
3. Navigate to the main `multipac_testbench` folder and install the library with all dependencies: `pip install -e .`
Note that you will need Python 3.11 or higher to use the library.
If you want to use `conda`, you must manually install the required packages defined in `pyproject.toml`.
Then, add `multipac_testbench.src` to your `$PYTHONPATH` environment variable.
## Project info
- 📚 [Documentation](https://multipac-testbench.readthedocs.io/en/stable/)
- 📋 [Changelog](./CHANGELOG.md)
- 🤝 [Contributing](./CONTRIBUTING.md)
- 🚀 [Tutorials/examples](https://multipac-testbench.readthedocs.io/en/stable/manual/tutorials.html)
TODO:
- [ ] Add notebook execution to normal test workflow.
- [ ] Add jupyter installation to `pip` deps for test
## Future updates
- [X] Calibration of new field probes.
- [X] Implementation of Retarding Field Analyzer.
- [X] RPA grid in V instead of kV.
- [ ] `sweet_plot` updates for better RPA treatment:
- [ ] Allow for `head` argument, working similarly to `tail`.
- [X] Argument to plot increasing and decreasing values differently. Useful when plotting RPA current against RPA grid voltage.
- [ ] Option to plot maximum of a signal per power cycle.
- [ ] Bug fix: Upper threshold is given even when we did not exit the multipactor zone.
- [X] Adding a post-treater to `Power` instruments should be reflected in `SWR` and `ReflectionCoefficient` calculations.
## Labviewer to-do
- [ ] Automatic export binary -> xlsx or csv
- [ ] Automatic export of individual power step files
- [ ] Allow to take last value from individual power step file rather than highest
- [ ] Fix synxhro of dBm column
Raw data
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