Xin's original study can be found at http://drupal.star.bnl.gov/STAR/subsys/tof/ppv-with-use-btof

 

Xin found that the TOF status table is not up-to-date, and suggested this could be solved somehow by hard code in StiPPVertex(Done).

 Three runs at different luminosity levels are selected in this test. For each run, only one daq file, and first 15000 events are used,

events  are required to be marked by vpdmb-nobsmd trigger.

Production chain optoins(http://www.star.bnl.gov/devcgi/dbProdOptionRetrv.pl) are

pp2012a,mtdDat,btof,fmsDat,VFPPVnoCTB,beamline,BEmcChkStat,Corr4,OSpaceZ2,OGridLeak3D,-hitfilt

Production was done using the DEV lib on 3/18/2012.

Definition:

good Vz : vertex with positive ranking

PPV efficiency = (events with good Vz & |Vz-VpdVz|<6cm) / (total)

PPV efficiency2 = (events with good Vz) / (total) 

 

runnumber	trigger rate	#events	#events vpdmb_nobsmd	daqfile::nevents	PPV efficiency	PPV efficiency2
13069013	14407.40	3M	0.64M	st_physics_13069013_raw_4040005.daq::15905	2188/5803=37.7%(w/) 1513/5803=26.1%(w/o)	3822/5803=65.9%(w/) 2708/5803=46.7%(w/o)
13069023	9314.20	3.3M	1.32M	st_physics_13069023_raw_3010005.daq::21086	3865/9515=40.2%(w/) 2692/9515=28.3%(w/o)	6319/9515=66.4%(w/) 4504/9515=47.3%(w/o)
13068037	6280.70	2.76M	1.98M	st_physics_13068037_raw_5020005.daq::26025	4546/11253=40.4%(w/) 3084/11253=27.4%(w/o)	7325/11253=65.1%(w/) 5087/11253=45.2%(w/o)

 

 

 

 

 

 

 

 

 

 

Note: All the entries in the event levet plots below are the number of vpdmb-nobsmd triggerd events, which are also used in the ppv efficiency calculation. 

Fig:1 The 2-D correlation plot of # of good vertices in each event for PPV w/ TOF and w/o TOF. 

Fig. 2: The ranking distributions for all vertices from PPV w/ and w/o TOF. Tha Maximum value is normalized to unity.

 

Fig. 3: Vz correlation for the good vertex (ranking>0) with the highest ranking in each event for PPV w/ and w/o.

 

Fig. 4: Vz difference between vertices found in PPV w/ TOF and w/o TOF for the first good vertex in each event if any.

 

Fig. 5: The first good vefrtex Vz and VpdVz difference in w/ and w/o TOF scenarios.

Fig.6: The first good vefrtex Vz and VpdVz 2D correlation for PPV w/ TOF

Fig.7: The first good vefrtex Vz and VpdVz 2D correlation for PPV w/o TOF

 

Fig. 8: yLocal-zLocal 2-D distribution w/ BTOF production. (globalTracks, no triggerID is selected on event level)

 

Fig. 9: yLocal-zLocal 2-D distribution w/o BTOF production. (globalTracks, no triggerID is selected on event level)

 

----------------------------------------------------------------------------------------------------------------

The following update concerns the update of DEV lib. This is done in 4/4/2012

 

 

runnumber	trigger rate	#events	#events vpdmb_nobsmd	daqfile::nevents	PPV efficiency	PPV efficiency2
13069013	14407.40	3M	0.64M	st_physics_13069013_raw_4040005.daq::15905	2321/5802=40.0%(w/) 1626/5802=28.0%(w/o)	3955/5802=68.9%(w/) 2878/5803=49.6%(w/o)
13069023	9314.20	3.3M	1.32M	st_physics_13069023_raw_3010005.daq::21086	4066/9516=42.7%(w/) 2880/9516=30.3%(w/o)	6577/9515=69.1%(w/) 4766/9515=50.1%(w/o)
13068037	6280.70	2.76M	1.98M	st_physics_13068037_raw_5020005.daq::26025	4768/11252=42.4%(w/) 3293/11252=29.3%(w/o)	7607/11252=67.6%(w/) 5377/11252=47.7%(w/o)

 

 

 

 

 

 

 

 

 

Note: All the entries in the event levet plots below are the number of vpdmb-nobsmd triggerd events, which are also used in the ppv efficiency calculation. 

Fig:1 The 2-D correlation plot of # of good vertices in each event for PPV w/ TOF and w/o TOF. 

Fig. 2: The ranking distributions for all vertices from PPV w/ and w/o TOF. Tha Maximum value is normalized to unity.

funnyR=log(rank+/-1e6)+offset.

 

Fig. 3: Vz correlation for the good vertex (ranking>0) with the highest ranking in each event for PPV w/ and w/o.

 

Fig. 4: Vz difference between vertices found in PPV w/ TOF and w/o TOF for the first good vertex in each event if any.

 

Fig. 5: The first good vefrtex Vz and VpdVz difference in w/ and w/o TOF scenarios.

Fig.6: The first good vefrtex Vz and VpdVz 2D correlation for PPV w/ TOF

Fig.7: The first good vefrtex Vz and VpdVz 2D correlation for PPV w/o TOF

 

Fig. 8: yLocal-zLocal 2-D distribution w/ BTOF production. (globalTracks, no triggerID is selected on event level)

 

Fig. 9: yLocal-zLocal 2-D distribution w/o BTOF production. (globalTracks, no triggerID is selected on event level)