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Trigger rate studying

Trigger rate studying. Shiuan-Hal,Shiu. Introduction. J/ ψ. Because the DAQ data taking rate only have 1000Hz, we must confirm the trigger rate will not higher then the DAQ limit. From the right figure, we can see that the J/ ψ dimuon production rate is 100 times then Drell -Yan dimuon .

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Trigger rate studying

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  1. Trigger rate studying Shiuan-Hal,Shiu

  2. Introduction J/ψ • Because the DAQ data taking rate only have 1000Hz, we must confirm the trigger rate will not higher then the DAQ limit. • From the right figure, we can see that the J/ψdimuon production rate is 100 times then Drell-Yan dimuon. • I suppose the J/ψhere is the major background, if the total trigger rate(contain the dy and J/ψdimuons from target and dump) is higher then 1000Hz we must give the J/ψ trigger a prescale factor. Rate Mass

  3. Event rate per second The proton beam structure is 5 sec spill of 1*1013protons each minute, it means when the proton comes we will have 2*1012 protons in each seconds. Right table shows the simulation results of event rate per second from the E906 fast MC. From the right table we can see that the J/ψ rate may not be a problem of E906 daq, I think now the main problem is random single muon from pion decay. But, now we have no idea to estimate the rate. We need real beam to measure it.

  4. Some estimate • Without any look up table logic we have already used 5493/20060 (27%)logic elements, and (512*9*8*3+4096=114688) 114688/294912(39%) memory and ½(50%) PLL each v1495. • From a simple muon track simulation in bend plane, we found there are almost 1400 track conditions will appear for a positive muon. It means 2800 track combinations need to deal in one v1495, and in worst case may cost about 9000 logic elements. V1495 now still have 14567 logic element, I think it is enough. • In fast MC, we can modify the input event number. In general, more input event will have more road combination number. But the FPGA resource is not unlimited, so we need to find a stable value.

  5. Road combination number • In the table below the DY-target means the Drell-Yan from target and DY-dump means the Drell-Yan from dump. 99% means the 99% events was contained in the number of roads.

  6. Road combination number

  7. Road combination number • Compare to the FPGA estimate and the fast MC result, I think I’ll trend to choose the road combination in 99.99%.

  8. 99% roads mass distribution(DY from target) counts counts mass mass yn yp

  9. 99% roads mass * sigwt distribution(DY from target) rates rates mass mass yn yp

  10. 99% roads mass distribution(DY from dump) counts counts mass mass yn yp

  11. 99% roads mass * sigwt distribution(DY from dump) rates rates mass mass yn yp

  12. backup

  13. Mass distribution of positive Drell-yanmuonfrom target (99%)

  14. Mass distribution of positive Drell-yanmuon from target (99%)

  15. Mass distribution of positive Drell-yanmuon from target (99%)

  16. Ptxdistribution of positive Drell-yanmuon from target (99%)

  17. Ptx distribution of positive Drell-yanmuon from target (99%)

  18. Ptx distribution of positive Drell-yanmuon from target (99%)

  19. Mass distribution of negitiveDrell-yanmuon from target (99%)

  20. Mass distribution of negitiveDrell-yanmuon from target (99%)

  21. Mass distribution of negitiveDrell-yanmuon from target (99%)

  22. Ptxdistribution of negitiveDrell-yanmuon from target (99%)

  23. Ptx distribution of negitiveDrell-yanmuon from target (99%)

  24. Ptx distribution of negitiveDrell-yanmuon from target (99%)

  25. Mass distribution of positive Drell-yanmuon from dump (99%)

  26. Mass distribution of positive Drell-yanmuon from dump (99%)

  27. Mass distribution of positive Drell-yanmuon from dump (99%)

  28. Ptxdistribution of positive Drell-yanmuon from dump (99%)

  29. Ptx distribution of positive Drell-yanmuon from dump (99%)

  30. Ptx distribution of positive Drell-yanmuon from dump (99%)

  31. Mass distribution of negitiveDrell-yanmuon from dump (99%)

  32. Mass distribution of negitiveDrell-yanmuon from dump (99%)

  33. Mass distribution of negitiveDrell-yanmuon from dump (99%)

  34. Ptxdistribution of negitiveDrell-yanmuon from dump (99%)

  35. Ptx distribution of negitiveDrell-yanmuon from dump (99%)

  36. Ptx distribution of negitiveDrell-yanmuon from dump (99%)

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