Note.txt

Notes:

Feb 25, 2014
1. Subtract the starting value the initial value from all other values
2. Fit function changing scaling factor, and initial time

Feb 26, 2014
1. Finish fit function
2. Produce histograms of total charge (using sum method) for normal shaping Time
3. Produce histogram of total charge (using difference between say 4th entry and 1st entry) for shaping time around 100 ns

Feb 28, 2014
1. Compute integral 
2. Produce histogram using fit function

Mar 11, 2014
Produced plot of qIntegralReadoutValue (it's essentially the scaling factor)
1. Relatively normal distribution
2. RMS / Mean ~ 0.0053

March 19, 2014
1. Working on PPT
2. Looking for reason why 20 ns shaping time distribution using integral method has such weird distribution. Possible reason: starting time of 10 - 30 ns has first nontrivial point at peak. In other words, the data points contain no information about rise of function to peak. This lack of information may cause smaller scaling factor. Refer to testing.C

March 21, 2014
1. Need to add

April 2, 2014
1. Need to produce plots of each element of table of powerpoint
2. Need to add Chi Square to display of fit function.
3. Maybe improve fit function by making it the superposition of fit functions 

April 10, 2014
1. Work on getting superposition.
2. Use chi-square
3. Don't divide by mcenergy until after the fit (compare scalingFactors to mcenergy values and don't divide by mcenergy) - should expect a linear correlation.

April 15, 2014
1. Look at outliers in initialPlotMcenergyvsScalingFact.pdf
2. 

April 16, 2014
1. Look at plots with bumps and see if you can get Fit to work with the 6 free parameters
2. Look at chi-square plot and see where peak is.
3. Shove fit parameters, mcenergies, etc. into TTree (let each have its own branch and start playing with it).