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LLRF Algorithm Python Library (LLRFLibsPy)

The PDF version of the manual and an introduction can be found in the doc folder. The webpage-based documentation can be found at https://aaqiao.github.io/LLRFLibsPy/.

Description of Files and Folders

  • src: folder containing source files of the library.
  • example: folder containing examples for demonstrating the library.
  • doc: folder containing the documentation.
  • docs: folder containing the HTML manual.

Contents of LLRFLibsPy

LLRFLibsPy consists of the following modules.

Module Description
rf_calib RF calibrations like virtual probe, RF actuator offset/imbalance, forward and reflected, and power calibrations.
rf_control Design and analyze RF feedback/feedforward controllers.
rf_det_act Measure RF amplitude and phase from ADC samples.
rf_fit Fit data to sine/cosine, circle, ellipse or Gaussian functions.
rf_misc Save/read data to/from Matlab files.
rf_noise Analyze, generate and filter noise.
rf_plot Plotting functions for internal use.
rf_sim Simulate the RF cavity response in the presence of RF drive and beam loading.
rf_sysid Identify the RF system transfer function and characteristic parameters.

Installation

The LLRFLibsPy package should be installed to your Python environment. Follow the steps below:

  • Clone this repository to your working folder.
  • Check out the tag you want to install, or directly install the head (may contain debug code).
  • In the top folder where the setup.py is stored, execute the command below to make the installation.
    pip install .
    

Disclaimer (see the LICENSE file)

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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LLRF algorithm library in Python

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