After normalizing the mfilt distribution to the mfilt value at half the plateau and normalizing to the height of the plateau (due to different trigger bias one can't just normalize to the counts) I put in the impact parameter cuts according to UCD as lines of the same color. Here are the kumac which produces this plot, the kumac containing the comis utilities (you will have to edit them a bit) and the rz file containing the histograms. Here are the plots for the 2 fm cut 3 fm cut 4 fm cut 5 fm cut 6 fm cut 7 fm cut 8 fm cut 9 fm cut They show that the 1.85 AGeV data are consistently different from the other beam energies. If it is true that in this representation the fm cuts should be close to each other I can estimate the cuts for the 2 AGeV data by taking the mean of the other energies. This new value is shown in the following plots as black line 2 fm cut 3 fm cut 4 fm cut 5 fm cut 6 fm cut 7 fm cut 8 fm cut 9 fm cut The mfilt values extracted this way are
UCD | BNL | |
2 fm (1.8 %) | 190 | 181 |
3 fm (4.2 %) | 175 | 163 |
4 fm (7.4 %) | 160 | 146 |
5 fm (12 %) | 140 | 125 |
6 fm (17 %) | 125 | 107 |
7 fm (23 %) | 105 | 83 |
8 fm (30 %) | 85 | 60 |
9 fm (38 %) | 60 | 38 |