AuAu@27GeV full production QA
Updated on Wed, 2019-07-24 15:58. Originally created by lxy1122 on 2019-07-10 09:16.
Runs falling out of the 5 sigma bands:
Bad run list:
Attached is the QA plots for the AuAu@27GeV full production. The red lines on the run by run QA plots are Ave+/-5 \sigma. Except in the EPDMIP plot, runs without VPD are not included.
Runs without VPD:
19130071
19130077
19139042
19139050
19147008
19147009
19147014
19147015
19147016
19147021
19147022
19147023
19147025
19147026
19147027
19147029
19147030
19147031
19147033
19147034
19147035
19147038
19147039
19147040
19147042
19147043
19147044
19147046
19147047
19147048
19162002
19166010
19166010
The bump (~1 \sigma) in the <\eta> & <\phi> distribution: (these runs might need their own weighting table for the TPC tracks)
19147008
19147009
19147014
19147015
19147016
19147021
19147022
19147023
19147025
19147026
19147027
19147029
19147030
19147031
19147033
19147034
19147035
19147038
19147039
19147040
19147042
19147043
19147044
19147046
19147047
19147048
Runs falling out of the 5 sigma bands:
|
DCA
|
19133009,19133010,19133012,19133013,19133014,19134009,19134010,19134011,19135001,19135012,19135013,19135014
|
|
Vz
|
19132063,19133018
|
|
RefMult
|
19133018
|
|
pT
|
19133018
|
|
eta
|
19133018
|
|
phi
|
19132063,19133018,19137003
|
|
TracknHits
|
19133018,19137050,19137051,19137052
|
|
EPDQ2xE
|
19144019
|
|
EPDQ2xW
|
19133018,19137003
|
|
EPDQ2yE
|
19144019
|
|
EPDQ2yW
|
19140016,19142034
|
|
EPDMIP ring1-4
|
19147007
|
|
EPDMIP
ring5-8 |
19133018,19147007
|
|
EPDMIP0
ring9-12 |
19133018,19147007
|
|
EPDMIP0
ring13-16 |
19133018,19147007
|
|
|
|
Bad run list:
19132063
19133009
19133010
19133012
19133013
19133014
19133018
19134009
19134010
19134011
19135001
19135012
19135013
19135014
19137003
19137050
19137051
19137052
19140016
19142034
19144019
19147007
About the DCA distribution:
As one can see in the <DCA> plot, the <DCA> values are more sparse for the early runs. I am not sure if it is a problem, in other words, I am not sure if I should have an extra <DCA> cut when determining the bad runs (for example <DCA>>0.44 on top of the 5 sigma cut). Following are the DCA distributions for some runs with typical <DCA> values (I should have used finer bins). They all look reasonable to me, but it is weird that the DCA distributions are more spread at the early runs.
Note: It seems that selecting primary tracks and requiring DCA<3 cm are not the same. A primary track might have a DCA value that is larger than 3 cm.
As one can see in the <DCA> plot, the <DCA> values are more sparse for the early runs. I am not sure if it is a problem, in other words, I am not sure if I should have an extra <DCA> cut when determining the bad runs (for example <DCA>>0.44 on top of the 5 sigma cut). Following are the DCA distributions for some runs with typical <DCA> values (I should have used finer bins). They all look reasonable to me, but it is weird that the DCA distributions are more spread at the early runs.
Note: It seems that selecting primary tracks and requiring DCA<3 cm are not the same. A primary track might have a DCA value that is larger than 3 cm.
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