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Residual correction + status

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.

chanda-riley
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Residual correction + status

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  1. Residual correction + status Tome Anticic NA61 collaboration week Oct 2011

  2. 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 proper track residual minimization Z Z: 78 cm, 18 bins (4.3 cm each) anticic@irb.hr

  3. Alignment procedure Detector offsets and angles Detailed residual corrections ( ExB etc) Detector offsets agian Generally, only this gets changed for different run configurations, after the offset determination Detailed residual corrections ( ExB etc) anticic@irb.hr

  4. 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.

  5. How useful? Example: pp 158 Black: no residual correction Red: With residual correction Det id = 12 (VT2+MTPCL) All tracks Bx  00 385 99 2493 804       By anticic@irb.hr

  6. How usefull II? ML X Example: pp 158 V2 X V1 X ML Y MR X V2 Y V1 Y MR Y Some offset problems, require new geometry, apparent for different types of tracks anticic@irb.hr

  7. Y residuals in MTPCL for different iddet before and after new offsets BEFORE Example: pp 158 Y Residuals vs row of MTPCL Iddet 10 (V1+MTPCL) Iddet 14(V1+V2+MTPCL) Iddet 12(V2+MTPCL) AFTER Y Residuals vs row of MTPCL anticic@irb.hr

  8. Comparison with Monte Carlo bx and by all tracks 8712 (pc 31 GeV 2 cm) BX 8712 MC BY Monte Carlo slightly better Also, not shown, y residuals vs row around zero anticic@irb.hr

  9. Residual x, y 8712, MC ML X 20 k events runs 8712 20 k events runs MC V2 X V1 X ML Y MR X MR Y V2 Y V1 Y Monte Carlo slightly better 9/11 anticic@irb.hr anticic@irb.hr

  10. VDRIFT problems: pp 31 GeV X and Y residuals, after residual corrections ML X 20 k events runs 9004 20 k events runs 9043 V2 X V1 X ML Y MR X MR Y V2 Y V1 Y Same residual corrections, same data set, different results – Vdrift problem anticic@irb.hr

  11. Vdrift problem became apparent when differential residuals for VTs do not go to zero AFTER BEFORE X Y anticic@irb.hr

  12. Comparison: pp 158 GeV before/after, VT2 2D X X After Before Y Y anticic@irb.hr

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