By running this script (instruction here in README), we get:
Area under the histogram (number of surviving events): 2241.720458984375
Bin content: 2241.720458984375 error = 26.004912373817632
Expected events: 8.134295648868406 +/- 0.09436129501507277 events
And we get this efficiency histogram that is identical to the one in the paper:
And the passed number of events histogram:
From the histogram we have 7879 accepted events out of 20,000. Thus we have acceptance of 0.394 (the paper had 0.36 for the acceptance)
The yield is 2241.720458984375/20000= 0.112086, which is compared to the yield from the paper.
In the paper, the fraction of surviving events for the 0.1 ns 400-GeV smuons is:
By running this script (instruction here in README), we get:
And we get this efficiency histogram that is identical to the one in the paper:
And the passed number of events histogram:
From the histogram we have 7879 accepted events out of 20,000. Thus we have acceptance of
0.394
(the paper had 0.36 for the acceptance)The yield is 2241.720458984375/20000=
0.112086
, which is compared to the yield from the paper.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