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1st try: fit the ME-LE data with the following function:
LEME vparLEvparMEf
MEv
LEv
Simple chi-squared used for the fit:
bins
LEMEDATA parLEparMEvvfLEME2
2,,,
222
)( MELEDATA vparMEvparLELEME
where:
1st check: Fit for (ME-LE)MC after correcting for ME,LE differences with the MC:
ME-LE, no + (MC)
parMEv ME parLEv LE
(ME-LE)MC
Fit
parME and parLE indeed converge at 1.0
2nd check: Fit for (ME-LE)MC assuming no ME,LE differences besides +:
parLE = 0.728±0.591parME= 1.303±0.297
Fit values:
71.242 Fit80.262 ini
(ME-LE)MC
Fit
parLEv LE parMEv ME
Now fit for (ME-LE)DATA assuming no ME,LE differences besides +:
parLE = 2.623±0.847parME= 0.703±0.436
Fit values:
42.202 Fit68.262 ini
parLEv LE parMEv ME
(ME-LE)DATA
Fit
Fit (ME-LE)MC again with less bins:
parLE = 0.195±0.587parME= 1.015±0.290
Fit values:
39.92 Fit39.112 ini
parLEv LE parMEv ME
(ME-LE)MC
Fit
parLE = 1.793±0.861parME= 0.477±0.431
Fit values:
17.72 Fit24.112 ini
(ME-LE)MC
Fit
parLEv LE parMEv ME
Fit (ME-LE)DATA again with less bins: