Download presentation
Presentation is loading. Please wait.
1
University of Wisconsin at Madison
DCOPS Analysis James N. Bellinger University of Wisconsin at Madison 22-February-2007 DCOPS Data from MTCC2
2
Simple Analysis This is not a substitute for using COCOA, which is what we intend for the final determination of position.
3
DCOPS Sensor CCD 1: RPhi CCD 2: Z CCD 4: Z CCD 3: RPhi
The Line has 10 DCOPS, with a laser at each end CCD 2: Z CCD 4: Z CCD 3: RPhi
4
Piecing together lines for Z measurements
Disk bending tilts the lasers Field-off: laser offscale one way by #8 of 10 Field-on: laser offscale other direction By #9 the laser beam has vanished Have to piece together incomplete lines
5
RPhi measurements Disk bending has little effect: beam reaches far side Field off Field on This is the crucial direction for momentum measurements
6
Analysis Approach Fit the measured positions with a straight line. The resulting residuals are independent of the laser direction and show the variation from an “average position” level. Residuals can be refit, and the resulting new residuals will be the same as the old ones. I rely on that when piecing Z- measuring lines together.
7
Field-OFF ME+2/SLM1 Z measurements
CCD2=+ CCD4=* PG=o ME+2 1/10 The positions are consistent with the shimming. The data was taken over several weeks. Photogrammetry is in good agreement
8
Field-ON ME+2/SLM1 Z measurements
CCD2=+ CCD4=*
9
Field OFF notes The distribution of Z positions is consistent with shimming of the sensors, except for chamber ME+2/1/10 which seems a couple mm high at one end. Absolute Z positions require Z-sensors
10
Field effect The relative position changes when the field turns on are consistent with the predicted disk deformation of 15 mm at the center of the disk. Both CCD measurements of Z are consistent Measurements are stable
11
Quality notes CCD2 profiles were somewhat shadowed in the 6’th and 7’th DCOPS, so the quality of the profiles’ fits are poorer. This shows up in the distribution of residuals, and in the RMS of the following slide.
12
Z measurement stability
Station CCD2 CCD4 CCD2 = 96 microns CCD4 = 53 microns Measurements were taken over 3 weeks Field is OFF RMS in microns
13
Rphi residuals: Field ON
Laser 1= + Laser 2= * This is the direction critical for momentum measurement
14
Rphi measurement stability
Station PT1 Laser PT4 Laser TP 1/2/O 1/2/I 2/3/O 2/3/I 2/20/I 2/20/O 1/10/I 1/10/O TP Laser 1 = 15 microns Laser 2 = 48 microns Measured over weeks Field is ON, CCD1 RMS in microns
15
Rphi residuals and photogrammetry
Laser 1 OFF= + Laser 2 OFF= * PG = o Agreement with photogrammetry Laser 1 and 2 data are consistent
16
Rphi residuals Field OFF and ON
Laser 1 OFF= + Laser 2 OFF= * Laser 1 ON = o Laser 2 ON = x CCD 3 data Shifts are noticeable Measurements are stable
17
Change in RPhi from OFF to ON
Laser 1 = * Laser 2 = o The endpoints of each distribution on the previous slide were corrected to be 0 before subtracting to get these, so the endpoints have change=0 by construction. This is a relative measure of the Rphi change when the field turns on, using CCD3
18
SLM2: Average position Z deviations
Black + photogrammetry Red Field=0 Green Field=3.8 Blue Field=4.0 The x = CCD2 The * = CCD4 Photogrammetry matches the CCD2 better than the CCD4 averages Fitting uses averaged positions Oddities PT5 PT2
19
Summary The DCOPS system works and can locate misaligned chambers
COCOA should work Bending is consistent with predictions The ability to adjust the laser direction would help
20
CMS Z relative positions (animated gif)
In Powerpoint the gif is animated, showing field 0, 3.8, and 4.0 data respectively
21
Auxilliary Material
22
Quality studies Although after solving the previous two problems I had reasonable-looking results for the fits, the resolution was plagued with fliers. Hand scanning showed which CCDs were consistently bad (and I then always excluded these) and which “events” had unusually bad profiles. This can be made automatic later. So far it looks as though the absolute signal size [available] and signal to background [not available in MTCC data] are the most useful quantities.
23
Piecing together partial lines
Fit one side’s data: 7 DCOPS worth Fit the other side’s data: 7 DCOPS worth (there was sometimes more, but I was being conservative) Fit the difference between the residuals of the above two fits in the overlap region. Use this to extrapolate into the right-hand side’s data from the left and calculate residuals from this “virtual laser.” Using the left side’s residuals and the extrapolated residuals fit this set to a line and find the residuals from that fit.
24
Scanning for both lasers on
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.