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Simulated detector response and calorimetric event reconstruction for the New Large Area Neutron detector NeuLAND
Hello Jan,
I have been trying out calorimetric method for neutron reconstruction and for start I wanted to reproduce one of your results (one in the center; 600 MeV) mult12-5.pdf .
Below I copy my results which turned out quite different. I used only Neuland in the simulation (without 4mm steel window as mentioned in the Fig. description, btw. where did you put it and why?) and QGSP_INCLXX_EMV physics list. Other things were as in the Fig. description. I tried to change (increase) PMT threshold since my efficiencies seem to be too high but it didn't change much. Also, I tried to change initial parameters for the calorimetric cuts but it didn't change much (on a level of 1%). Do you have an idea where could the differences come from? Did you use some additional conditions which are not explicitly described here?
My results:
Number of entries in chain: 50000
Number of generated events with 1n is 10 0000.
For 1n generated, 0 detected = 21.47
For 1n generated, 1 detected = 65.08
For 1n generated, 2 detected = 13.34
................................
Number of generated events with 2n is 10 0000.
For 2n generated, 0 detected = 4.46
For 2n generated, 1 detected = 44.52
For 2n generated, 2 detected = 30.92
For 2n generated, 3 detected = 16.66
................................
Number of generated events with 3n is 10 0000.
For 3n generated, 0 detected = 0.84
For 3n generated, 1 detected = 21.3
For 3n generated, 2 detected = 28.07
For 3n generated, 3 detected = 27.72
For 3n generated, 4 detected = 15.36
................................
Number of generated events with 4n is 10 0000.
For 4n generated, 0 detected = 0.18
For 4n generated, 1 detected = 9.34
For 4n generated, 2 detected = 17.06
For 4n generated, 3 detected = 24.56
For 4n generated, 4 detected = 23.96
For 4n generated, 5 detected = 24.9
................................
Number of generated events with 5n is 10 0000.
For 5n generated, 0 detected = 0.03
For 5n generated, 1 detected = 3.59
For 5n generated, 2 detected = 9.42
For 5n generated, 3 detected = 17.8
For 5n generated, 4 detected = 22.17
For 5n generated, 5 detected = 46.99
Thank you, Ivana
P.S. I hope it is fine to write here, if you would prefer to continue discussion in email or elsewhere, please let me know.
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