The autocorrelator controls a delay stage and uses a Moku Go for readout of Quasi-CW signal using a 10 MHz photodiode. The readouts are flat DC signals with levels corresponding (supposedly linear) to the SHG intensity. The controller driver and delay stage abstract classes are borrowed from: https://github.com/Siwick-Research-Group/uedinst

• Stage Scan func:
  • Move delay & readout in 50 fs steps. Observe any changes in intensity signal and mark the stage position
• Acquisition func:
  • move ~ 100 fs (user set) before the peak, scan across in 100 nm steps. Plotting in plt.

NOTE: With uedinst under development, I can work on both this project and request pull to uedinst by installing uedinst with python setup.py develop

sys:1: ResourceWarning: unclosed <socket.socket fd=1180, family=AddressFamily.AF_INET6, type=SocketKind.SOCK_STREAM, proto=0, laddr=('fe80::5028:c5cc:a2ae:1ae4%9', 3409, 0, 9), raddr=('fe80::7269:79ff:feb9:1a40%9', 80, 0, 9)> sys:1: ResourceWarning: unclosed <socket.socket fd=1188, family=AddressFamily.AF_INET6, type=SocketKind.SOCK_STREAM, proto=0, laddr=('fe80::5028:c5cc:a2ae:1ae4%9', 3415, 0, 9), raddr=('fe80::7269:79ff:feb9:1a40%9', 80, 0, 9)>

have to figure out how to close socket connections

Might consider use a wrapper if Logging & Plotting need to be done at the same time.

• Data stream fluctuation (either Osc or Logger...)
• what's hystersis for triggering?
• mokuCLI for streaming data (does it output list?)
• quick scan not working (osc.get_data have peaks, look up on github for how ppl achieve this)

consider add LPF before logger Use the spectrum analyzer to look at fequencies FFT of pre-existing data

take longer data tomorrow and try to characterize the noise. Also change the amp level.