Privacy and Security Notice
Ndelta Online Analysis Instructions
For looking at detectors we are mainly relying on using DHIST.
If DHIST doesn't
seem to giving enough information you can try HANA. Both these
programs should
running on computers in the counting house. If not instructions to
get them going are in the counting house.
For physics variables and to look at the FPP detector we
are using ESPACE.
To analyze data:
-
Please try to replay every run if possible.
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One can use adaql1 or adaql2 . To be sure you are in the right directory
type: goespace
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Then type: espace_fpp
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From espace command prompt type: exec espace_kumac/ndelta_online
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You will be ask for the "Which kinematics are you replaying?" . This is
to
get the proper header file. More info on creating header.
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You will also be asked for the run number and number of events to analyze.
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For long runs one can look at the data in the middle of the run by
typing: espace_fpp
typing: exec espace_kumac/ndelta_online et=on
Then answer questions about kinematics for the header file and run number.
Then espace replays the data as it comes in not from a file. It is setup
to replay 20,000 events and then stop.
It overwrites the hbook file that was created earlier.
To look at results in paw++
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Start paw++ and type: exec paw_kumac/ndelta_det.kumac
This will show you the FPP detector histograms.
At the start of each kinematic setting one should print the histograms.
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While in paw++ type: exec paw_kumac/ndelta_phys.kumac
To check FPP straw efficiencies
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Try to replay 2 or 3 runs per shift
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One can use adaql1 or adaql2 . To be sure you are in the right directory
type: goespace
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Then type: espace_fpp
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From espace command prompt type: exec espace_kumac/straw_eff
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You will also be asked for the run number . It defaults to analyze 300,000
events.
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To look at results with paw++ by typing: exec paw_kumac/straw_eff
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You will see the efficiency of each straw for each plane of the chamber.
The green is the error bar and the small red dot is the efficiency.
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After running paw_kumac/straw_eff one can compare efficiencies to a standard
run by typing: exec paw_kumac/plot_fpp_eff.kumac