This post covers work from 05/06 - 05/17. I worked on DAQ python scripts at AFRL and also contributed towards writing some of the synthetic data papers. Additionally, my R4DS course started.

Making Figures for the Synthetic Data Paper

First, I made a figure to better explain the etching length integration range that causes the asymmetry in the fuchs function with prepulse:

Additionally, I highlighted what the dip and asymmetry looks like for various thicknesses and contrast values in this figure:

Finally, I highlighted the two data campaigns.

Campaign 1 (a) involved discretely scanning over focal distance and target thickness while doing a full scan over main pulse intensity from minimum to maximum for each point. Campaign 2 (b) involved doing one a simultaneous loop of both contrast (pre-pulse intensity) and main pulse intensity for each discrete step of target thickness from 0.5 to 5 $\mu$m.

Changes to afrl_data

• Made inclusion of electron data optional with merge_electrons boolean variable
• Added tqdm loading bar in move_data.py
• Made move_data.py optional by directly including the file locations on the computer

To Do

• Add Fuchs Data to Experimental Dataset Collection
• Implement Neural Network Model Predictions or work on new optimization scheme