Optical Alignment System for Muon Tracker 1.Hardware 2.Learned from RUN3/4 3.Upgrade 4.Plan and Summary Atsushi Taketani, RIKEN/RIKEN Brookhaven Research.

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Presentation transcript:

Optical Alignment System for Muon Tracker 1.Hardware 2.Learned from RUN3/4 3.Upgrade 4.Plan and Summary Atsushi Taketani, RIKEN/RIKEN Brookhaven Research Center Hiroki Kanou, Takashi Watanabe, Nobuyuki Kamihara, and Takuma Horaguchi Tokyo Institute of Technology

Optical Alignment Sytem Total 7optics/Octant * 8 Octant/Arm * 2Arm = 112 Configuration Light Source ( station1 ) ・ Single 150W Halogen light per ・ Optical fiber to station1 Focusing lens(station2) ・ 1cm convex lens CCD camera (station3) effective area 8.8×6.6 mm Number of pixels 768 × 498 Pixel size 11.0 × 13.0  m

Data flow CCD Camera DAQ PC Online PC ・ Taking CCD camera image each 30 min. ・ Making light intensity histogram for each X and Y projection. ・ Fit histogram and measure peak position Getting spot image

Position correction of Muon Tracking Chamber 1. Measurement of peak position of light image. 2. Make a model of motion of each Octant with parameters. 3. Position correction 4. Evaluation of correction. Done by Takashi Watanabe as Master Thesis work

Measurement of peak psotion Sharp imageOut focus Image gauss fit window fit pixel Brightness X projection Y projection X projection Y projection

Long term movement Long Term movement : 50 ~ 300 micron meter on single CCD camera 100micron 300micron x direction y direction micron North octant4 CCD4

Movement Model without expansion Consider half octant as rigid body ( ) x i -  z y i +  X  z x i + y i +  Y ~ Model of movement x 0i +  x i y 0i +  y i = ( ) x i : Image position S = Sum | f i - x i | 2 = Sum{( -  z y 0i +  X -  x i ) 2 + (  z x 0i +  Y -  y i ) 2 Minimize S with rotation and displacement Rotation Displacement in PHENIX Position on Octant Look at the movement on X and Y Ignore rotation along X and Y axis ( ) x i y i z i XYZXYZ + f i = Rot (  x,  y,  z ) Center of gravity of camera on octant Peak position in camera

Movement model with expansion  r =   t  r: Isotropic expansion ( ) f i = Rot(  x  y,  z ) (1+  ) x i y i z i XYZXYZ  ( ) (1+  )x i -  z y i +  X  z x i + (1+  )y i +  Y f i = : Movement of Model ( ) x i = x 0i +  x i y 0i +  y i : Image position S = Sum |f i - x i | 2 = Sum {(  x 0i -  z y 0i + DX -  x i ) 2 + (  z x 0i +  x 0i +  Y -  y i ) 2 } Minimize S

Camera Combination Combinatio n CCD4CCD5CCD6CCD7 456○○○ 457○○○ 467○○○ 567○○○ ・ Use North Arm, octant4, CCD4 、 5 、 6 、 7 ・ Evaluate by comparing different camera configuration

- micron 456 and 457 Correction comparison on  x 456 and and - 10 Correction evaluation Displacement on X : 9~ 27 micron Y : 5~ 24 micron Rotation along Z axis : micro rad Expansion : 2 ~ 15* 10^-6

Temperature and Magnetic field dependence ・ Temperature changes after magnetic field change ・ Magnetic field moves chamber day C mm rad Magnetic field Temp XX YY z z 

RUN4 NorthSouth Good2412 Recoverable1623 No Image1621 Data acquisition is not stable. Pay attention by MuTr expert shift or PHENIX shift. Good: good accuracy of peak Recoverable : not good accuracy No Image : No image at all

How to Improve No Image : Need to access the area inside magnet. -> Not this year. Recoverable: Take more picture, integrate them and then get sharper image. Replace DAQ system from GUI operation base to Labview base.

Windows GPIB-Ether NetMultiplexer CCD Camera (*56) Video signal LAN GPIB Video signal LAN Linux Change camerasTake pictures, Integration Make projection Save data Daq system Video Capture board Labview

Initialize system few msec Check hardwarefew sec Change camera50 msec for 1ch Take pictures110 msec for 1ch, 1 picture Integrate pictures40 msec for 1ch, 1 picture Make projection40 msec for 1ch Save to file 20 msec for 1ch Close systemfew msec Large contribution Executed 56 times Take N pictures for all camera… T = 8.09N few (sec) (N < 73, T < 10 min.) All of components for prototyping are build at RIKEN

Plan and Summary Young Hiroki will build Labview based system at RIKEN and move it to BNL at Aug. Looking OASYS will be shift duty. OASYS analysis data will be implemented in the geometry database and then improve J/PSI mass resolution.

Performance Taking 1000 images from same camera for 30 minutes.

Temperature and Expansion day  : expansion Temp.