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Residual correction + status. T ome Anticic. NA61 collaboration week Oct 201 1. Example: MTPC sector subdivision. Y: 110 cm, 15 bins (7.46 cm each). 6750 bins, Each direction, and sector separately. X: 70 cm, 9 bins 1 cm each 7 bins 7.3 cm each 9 bins 1 cm each. Y. X. - PowerPoint PPT Presentation
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Residual correction + status
Tome Anticic
NA61 collaboration week Oct 2011
Example: MTPC sector subdivision
anticic@irb.hr 2/10
YX
Z: 78 cm, 18 bins (4.3 cm each)
Y: 110 cm, 15 bins (7.46 cm each)
X: 70 cm, 9 bins 1 cm each
7 bins 7.3 cm each9 bins 1 cm each
6750 bins,Each direction, and sector separately
proper track residual minimization
anticic@irb.hr 3/10
Alignment procedure
Detector offsets and angles
Detailed residual corrections ( ExB etc)
Detector offsets agian
Detailed residual corrections ( ExB etc)
Generally, only this gets changed for different run configurations, after the
offset determination
Status overview
Scripts written so that now a new data set takes about 2 days of running, unless problems crop up (but these are now instructive problems, such as
drift v problems)
Corrections are now placed in format for database, but didn’t yet fully check it.
Code is added to program to also include GTPC geometry, but not residual corrections. Probably no need for residual corrections. Again, this is written,
but did not yet fully test it – no problem expected.
How useful?
anticic@irb.hr 5/10
Black: no residual
correction
Red:With
residual correctionBx
By
All tracks
Det id = 12(VT2+MTPCL)
Example: pp 158
How usefull II?
anticic@irb.hr 6/11
V1 X
V1 Y
ML X
ML Y
MR X
MR Y
V2 X
V2 Y
Example: pp 158
Some offset problems, require new geometry, apparent for different
types of tracks
Y residuals in MTPCL for different iddet before and after new offsets
anticic@irb.hr 7/10
Iddet 10 (V1+MTPCL)
Iddet 14(V1+V2+MTPCL)
Iddet 12(V2+MTPCL)
BEFORE
AFTER
Y Residuals vs row of MTPCL
Y Residuals vs row of MTPCL
Example: pp 158
Comparison with Monte Carlo bx and by all tracks 8712 (pc 31 GeV 2 cm)
anticic@irb.hr 8/10
BX
BY
8712
MC
Monte Carlo slightly betterAlso, not shown, y residuals vs row around zero
Residual x, y 8712, MC
anticic@irb.hr 9/11anticic@irb.hr 9/11
V1 X
V1 Y
ML X
ML Y
MR X
MR Y
V2 X
V2 Y
20 k events runs 8712
20 k events runs MC
Monte Carlo slightly better
VDRIFT problems: pp 31 GeV X and Y residuals, after residual corrections
anticic@irb.hr 10/11
V1 X
V1 Y
ML X
ML Y
MR X
MR Y
V2 X
V2 Y
20 k events runs 9004
20 k events runs 9043
Same residual corrections, same data set, different results – Vdrift
problem
Vdrift problem became apparent when differential residuals for VTs do not go to zero
anticic@irb.hr 11/11
BEFOREX
Y
AFTER
Comparison: pp 158 GeV before/after, VT2 2D
anticic@irb.hr 12/10
Before
X
Y
After
X
Y
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