This program is used to find the best calibration for the sine
wave signals recorded at SLAC by the SURF. To run, use the
following command:
python3 calibratorUI.py [which channel?] [valRange value?]

calibratorUI.py -
    The user interface for the whole program. Contains most 
    (if not all) variables to play with the code. Most variables
    pertain to the GA. The main function of the code is run at 
    the bottom.

calibratorMain.py -
	Contains the backbone of the code. Takes all variables from
	calibratorUI and accesses the GA and FScore. Starts by 
	creating a population, calculating their scores, and then 
	starts looping the evolving and score calculation procedure 
	for the specified number of generations. Can print 
	statements every 10 generations, save the best score, and 
	plot the results.

calibratorGA.py -
	Contains the genetic algorithms and associated functions for 
	the evolutionary process. Each GA may have many inputs, but 
	Algorithms 1-3 take at least the ranked population and the 
	number of competitors it is responsible to output, and outputs
	the created offspring. Algorithm 5 is applied to the whole 
	population, and it returns the population without duplicates.
	The Tournament function tournament selects one individual from
	the ranked population using a selected number of competitors.

calibratorFScore.py - 
	[Add stuff here]

util.py -
	Holds all supporting functions for the real fitness score in 
	calibratorFScore.py.

data -
	Contains event files from different SURF channels. Also stores
	any extrraneous data we need for the fitness scores

OldCode -
	Contains the old GA, which only had the first three 
	algorithms. The file addresses are set up ready to run from
	there.

results -
	Holds the results from any runs we perform. All important runs
	should be saved in their own folder.

GoogleSheets - 
	Code and associated files for getting google spreadsheet 
	writeout to work. Did not get it to work, so someone can work 
	on that if interested.

The genetic algorithms were written by Suren Gourapura, the 
fitness score was written by Steven Prohira, and the team of Eliot
Ferstl, Alex Patton, and Scott Janse tuned the GA variables to 
maximize performance.