I found an error in my earlier code regarding the number of accepted events. It only applied the ΔR to the leading and subleasing leptons, while ignoring other pairs. In my current version of the code this issue has been fixed. The resented numbers and rations are accurate (and were so in the last two weeks). The difference was ~ 20-30 events.
I generated another sample with the same parameters (400GeV mass and τ = 0.1 ns):
Area under the histogram (number of surviving events): 2241.99365234375
Bin content: 2241.99365234375 error = +/- 26.01434167400309
Expected events: 8.135286956926269 +/- 0.09439551012657924 events
Thus we have an acceptance rate of 0.393 and % yield of 11.2%, my first sample had acceptance of 0.394 and % yield of 11.2%
In the paper, the fraction of surviving events for the 0.1 ns 400-GeV smuons is:
acceptance X efficiency = 0.36 * 0.355 = 0.1278, thus a %yield of %12.78
I generated another sample with the same mass but different lifetime τ = 1 ns
with acceptance of 0.5492, the paper had 0.682
I will calculate the uncertainty in my calculation, this is a fresh result.
I found an error in my earlier code regarding the number of accepted events. It only applied the ΔR to the leading and subleasing leptons, while ignoring other pairs. In my current version of the code this issue has been fixed. The resented numbers and rations are accurate (and were so in the last two weeks). The difference was ~ 20-30 events.
I generated another sample with the same parameters (400GeV mass and τ = 0.1 ns):
Thus we have an acceptance rate of
0.393and % yield of11.2%, my first sample had acceptance of0.394and % yield of11.2%In the paper, the fraction of surviving events for the 0.1 ns 400-GeV smuons is:acceptance X efficiency = 0.36 * 0.355 = 0.1278, thus a %yield of%12.78I generated another sample with the same mass but different lifetime τ = 1 ns
0.5492, the paper had0.682I will calculate the uncertainty in my calculation, this is a fresh result.