Experimental measurement code written for use in the Quantum Dots project in the Goldhaber-Gordon lab at Stanford, but general enough for anyone to use. Some of the features are dynamic updating of plots and an automatic saving of data with full information about the state of all instruments. The most unique feature compared to other Python code is background measurement/plotting. The plotting backend used is Holoviews. For instrument drivers, the easiest way is to take advantage of QCoDeS drivers, but it is not too difficult to write one.
Open conda terminal.
Using the environment file provided (.yml) run (02/10/23 note: these packages are likely somewhat outdated, and using newer versions may fix some compatability bugs that existed when I first set this up)
conda env create -f gggmeas.yml
Change to this environment using
conda activate gggmeas
(Can also change the name by opening gggmeas.yml in a text editor and editing the first name line)
Jupyter notebook should be a little easier regarding extensions, but have only tested jupyter lab.
Then use either jupyter notebook or jupyter lab to start.
May have to install nb_conda_kernels via
conda install nb_conda_kernels
if jupyter lab only sees base environment (one indication is that it can’t find modules that are only installed in this environment but not the base one)
Install extension allowing for javascript output used by Holoviews
jupyter labextension install @pyviz/jupyterlab_pyviz
If you get a nodejs or npm error, try conda install -c conda-forge nodejs
For linecuts run
jupyter labextension install @jupyter-widgets/jupyterlab-manager
See Demo.ipynb for a demo of examples.
Note that the actual plots themselves and thumbnails that are saved will probably not display properly.