Slope fitting with MIP subtracted
Here an exponential fit was made at 40 ADC units above pedestal. In this region onwards there should be no MIP signal
A typical fit in this region, note: only fitting after 40 Units (ped subtracted)
![](Channel_278_exp.png)
A bad fit. Limits here give a slope=1 then terminated
![](Channel_139_exp.png)
Link to plots with MIP subtracted slope fits
Link to these file in .tar.gz
PMT Slopes and shift from these fits
There were a number of conditions:
- PMT 1-30 West, 31-60 East
- Everything now with Swaps
- fitting: e(-[0]*x+[1])
- [0]=slope, [1]=shift from here on
- Only one colour used now
Slope [0]
![](mod_gain_exp/pmt_mean19.png)
Shift of function [1] (not so interesting)
![](mod_gain_exp/pmt_slope19.png)
Summery plots were made and averaged for each PMT box for quick reference
% of slope == 1, i.e, fit that fails with zero entries after 40 adc, per PMT box
![](mod_gain_exp/spmt_high.jpg)
Average of slope per box (Interesting see conclusion)
![](mod_gain_exp/spmt_slope.jpg)
Average of shift per box
![](mod_gain_exp/spmt_shift.jpg)
These average values per box for the slopes can be found here:
Format:
- PMT box
- % of bad fits (==1)
- Slope
- Shift
- Dummy, ignore
Values from Summary Plots text file
PMT Plot files from this section
Files meanXXX.png are mean+ rms, slopeXXX.png are rms and sXXX.jpg are summary
Link to all plots
Tar file of PMT plots and Summary plots
Conclusion overall
- The averaged Mean MIP position plot (page 1) and the Average Slope position from here seem to have very similar structures
- In both cases PMT boxes between 9-29 and 39-52/4 seem better
- Boxes in between these ranges are the best candidates to change gains
- Finally, there is a lot of information here and in root files, if you would like something specific please let me know and I will put it together for you. Data from the fits is grouped at three levels: Average per PMT, PMT and then Soft ID
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Go to page 1 for MIP fits