multipac-testbench 2.0.5

Post-treat the data produced by the MULTIPAC test bench.

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. In particular, you will want to:

1. Install Python 3.12 or higher.
2. Learn to use Python environments, pipenv or virtualenv.
3. Install a Python IDE such as Spyder or VSCode.

Developers

1. Clone the repository: git clone [e-mail]: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 3.12 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
• 📋 Changelog
• 🤝 Contributing
• 🚀 Tutorials/examples

Future updates

• sweet_plot updates for better RPA treatment:
  • Allow for head argument, working similarly to tail.
• Option to plot maximum of a signal per power cycle.
• Add filtering of the 50Hz noise
• Interactive plots:
  • Post-treaters should add info to the plots: window, median, etc.
    • Info is saved in every Instrument.reduction_info: ReductionInfo.
  • Keep only one window for PowerStep plot
  • In the PowerStep window, navigate between steps with left/right arrows.
• Document the new HeaderConstant instruments.