@DawesLab

Photonics and Quantum Optics

  • Our Ipython lab notebooks

    Jupyter Notebook 4 2 MIT Updated May 25, 2018
  • IPython notebooks for collecting and saving data from our CCD camera

    Jupyter Notebook 1 Updated May 17, 2018
  • A ZMQ client/server pair to provide images from our lab CCD.

    Jupyter Notebook 3 MIT Updated May 17, 2018
  • Our code for interacting with lab instruments via USBTMC

    Python 6 5 GPL-3.0 Updated Mar 13, 2018
  • A python program to calculate the weak-probe electric susceptibility of an atomic ensemble.

    Python 7 Apache-2.0 Updated Feb 27, 2018
  • Pages for the DawesLab

    HTML Updated Nov 29, 2017
  • Calculations using the Qfunction from acquired data

    Python 1 2 Updated Nov 7, 2017
  • Package of functions useful in simulating optical beams

    Python MIT Updated Jun 30, 2017
  • A Python Interface for PICAM Library

    Python 6 Updated Jun 13, 2017
  • Python tools for numerical models useful to rubidium atomic physicists.

    Jupyter Notebook 3 2 GPL-3.0 Updated Mar 27, 2017
  • Files relevant to controlling a Tektronix AFG310 Arbitrary Function Generator

    Jupyter Notebook 1 Updated Jul 19, 2016
  • Utility python scripts for a variety of mundane but frequently-performed tasks.

    Python Updated Jan 15, 2016
  • Updated Nov 30, 2015
  • Our various arduino code for the lab

    Arduino GPL-3.0 Updated Jun 25, 2015
  • Python interface to osPID hardware

    Python Updated Jun 17, 2015
  • Code for simulating beam detection with a LN-cooled CCD camera

    Python Updated Jan 17, 2015
  • C++ code for controlling our Princeton Instruments Pylon CCD

    C++ 1 Updated Jan 10, 2014
  • Collect data from Pylon CCD and show preview of the FFT output and raw image.

    C++ Updated Dec 5, 2013
  • Code to collect and store FFT of a 2d image from a pylon CCD camera

    C++ Updated Nov 14, 2013
  • Code for mapping and creating pulses to send to the AOM box

    1 1 Updated Jul 3, 2013
  • A script to create a "contact sheet" of graphs from a folder full of .csv files. Useful if you dump your data from a scope to a folder for the day. This contact sheet lets you see what you have at a glance.

    Python Updated Jun 22, 2013
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