A Python interface for Qubic Studio

• originally implemented by Pierre Chanial
• current maintainer: Steve Torchinsky <satorchi@apc,in2p3.fr>

QubicStudio is the control software for QUBIC developed by Wilfried Marty at IRAP

pystudio is a python interface to QubicStudio allowing remote access to the QUBIC local control computer. All the power of python is available to perform, record, and analyze complex measurements. The package QubicPack (see below) is a collection of tools to run various measurements and analyze them in real-time.

Note: qubicpack can be installed independently of pystudio. This is useful if you don't need to connect to QubicStudio.

• The files parametersDescription.dispatcher and parametersTF.dispatcher must be copied into the directory that contains the python interpreter (the actual python executable). These files are not used by the pystudio code, but by the dispatchertf library.

• The environment variable LIBDISPATCHERACCESS can be set to the path of an alternative directory containing the Qubic Studio libraries.

• If the QT5 headers are not in the standard directory /usr/include/qt5 and if the utility pkg-config is not installed, the environment variable QTPATH can be used to specify

• The source code for pystudio and qubicpack is available from GitHub: https://github.com/satorchi/pystudio

• Download pystudio and use the build.sh script

     $ git clone https://github.com/satorchi/pystudio.git
     $ cd pystudio
     $ ./build.sh
     $ sudo python ./setup.py install

and run pystudio! See the description of QubicPack below for more details.

• Download pystudio as above, but instead of running the build script, simply run the qubicpack setup script as follows:

python setup_qubicpack.py install

authors:

• Steve Torchinsky [email protected]
• Michel Piat
• Sophie Henrot-Versillé
• Manuel Gonzalez
• Maria Salatino
• and other members of the QUBIC team

QubicPack is implemented as a python class with a number of methods. It is intended to be used with your favourite python environment, such as ipython or Jupyter. A simple example of a qubicpack program is the following:

>>> from qubicpack import qubicpack
>>> go=qubicpack()
>>> Vtes=go.get_iv_data()

The above three lines will run the I-V curve measurements for all TES. Afterwards, you have all the data saved in the qubicpack object. The data has also been saved to a file for future analysis offline.

QubicPack can be used to read and plot saved data. For example, to plot the I-V curve of TES#70 from data saved on 4 August 2017, do the following:

>>> from qubicpack import qubicpack
>>> go=qubicpack()
>>> go.read_fits('QUBIC_TES_20170804T134238UTC.fits')
>>> go.plot_iv(70)

More detailed help is available at https://github.com/satorchi/pystudio/wiki

QubicPack is installed on the computer in the Millimetre Lab at APC. The machine is called LaboMM. As of this writing, the machine has IP address: 134.158.187.56. This machine is accessible remotely, and QUBIC can be controlled by making an ssh connection to LaboMM and running your QubicPack python scripts. Any machine within the APC network can run pystudio and QubicPack to communicate with the Local Control Computer. QubicPack can also be used offline to work with data previously saved.

A QubicPack object (called "go" in the example above) has a number of methods and internal variables which are required to run measurements. Once you create a QubicPack object, the parameters will have their default values. Changing a parameter, such as the integration time, for example, will make the change available to all the methods which use integration time, so that you don't have to reset the parameter for every type of measurement.

Help documentation can be found on the wiki hosted by GitHub: https://github.com/satorchi/pystudio/wiki