Slides and Notes 08-April-2009

OK. I'm looking at the PickLine output for the transfer lines (plus endcap only) for 10-October. Something is very wrong here. In each DCOPS, CCD number 1 has values for areabackground that are 0, while the rest are of order 340. The values for other areas printed out in this section seem also to be essentially meaningless. (In print(), _extensions is set true, apparently, even though the contents are useless.)

In any event, I drop this information from the .xls file and continue. I need to define a standard orientation for the DCOPS. Let the standard be such that the DCOPS vector is in the Plus direction.

Using the 10-October 0T data I generated this XLS worksheet

From that I generated this Pari script (I have to iterate once to get rid of the 0.E-25*s1h type of terms in CONST). That gives me this set of answers in the fit:
s1h-0.000119
s2h 0.002142
s3h-0.000899
s4h-0.000983
s5h-0.000893
s6h-0.000542
s1v-0.002854
s2v 0.000800
s3v-0.001843
s4v-0.002630
s5v-0.002175
s6v-0.002937
d1h-1.196776
d2h 0.562191
d3h-0.448022
d4h-1.094282
d5h 0.537552
d6h 0.351378
d1v-1.476862
d2v-0.561996
d3v-1.378322
d4v-1.487868
d5v-1.796275
d6v-1.034780
c1x-1.033703
c2x-1.084985
c1y 1.283021
c2y 2.070470
dH1-7.111644
dH2-6.247519

I calculated what the (uncalibrated) DCOPS CCD values ought to be in the standard orientation, and then calculated what the distance from the center of the DCOPS would be in the new coordinates: H (horizontal, = Rφ) and V (vertical = Radial).

At each transfer line 1-6 there are 2 slopes and 2 intercepts: snh with dnh and snv with dnv

I assume that YE+3 is fixed in position and rotation (I have to pick something), and use cnx and cny to represent the shift in YE+n. Since the DCOPS are all pretty much at the same radius (at 0T!) rotations can be represented by a shift in Rφ, which I label dHn.

9-Apr

The dH1 and dH2 have to be divided by the radius of the transfer DCOPS to find the angle. The radius being 7250mm, that gives dH1ang = -0.98mrad and dH2ang = -0.86mrad

From CMS-SG-UR-0124, disk centers and Z rotations: (error on position is 300 microns, on angle is 0.1 mrad)
TypeYE+1YE+2YE+3YE+1 - YE+3YE+2 - YE+3
X (mm)0.58-0.150.59-.01 c1x=-1.03 ± .05-0.74 c2x=-1.08 ± .03
Y (mm)-1.370.57-0.04-1.33 c1y=1.28 ± .050.61 c2y=2.07 ± .03
φ z (mrad)-0.43-0.460.18-0.61 dH1→ -0.98 ± .01-0.64 dH2→ -0.86 ± .004

I think it fair to say that unless the errors are much larger than expected, these values are not consistent.

OK, who is right? What could have gone wrong?

I could have screwed up the model, or bollixed the data processing to give me the numbers. You can inspect this yourself in the Excel file linked above, and examine the Pari script. I'm fitting 30 variables using 47 points (one is missing), so the issue would be matrix stability rather than insufficient points.

The PG numbers are only reliable if none of the disks were moved before the measurements were taken. YE+3 would have to move first. But the before and after CRAFT measurements for YE+3 are similar, so there seems no chance of a bulk dislocation or rotation.
s1h-0.00011930 ± 0.000020704
s2h0.0021423 ± 0.000023655
s3h-0.00089929 ± 0.000020704
s4h-0.00098290 ± 0.000020239
s5h-0.00089273 ± 0.000020180
s6h-0.00054225 ± 0.000020239
s1v-0.0028544 ± 0.000016879
s2v0.00080020 ± 0.000016667
s3v-0.0018430 ± 0.000016879
s4v-0.0026297 ± 0.000016879
s5v-0.0021752 ± 0.000016667
s6v-0.0029367 ± 0.000016879
d1h-1.1968 ± 0.030912
d2h0.56219 ± 0.031994
d3h-0.44802 ± 0.030912
d4h-1.0943 ± 0.030751
d5h0.53755 ± 0.030731
d6h0.35138 ± 0.030751
d1v-1.4769 ± 0.029525
d2v-0.56200 ± 0.029462
d3v-1.3783 ± 0.029525
d4v-1.4879 ± 0.029525
d5v-1.7963 ± 0.029462
d6v-1.0348 ± 0.029525
c1x-1.0337 ± 0.052488
c2x-1.0850 ± 0.027695
c1y1.2830 ± 0.051012
c2y2.0705 ± 0.027695
dH1-7.1116 ± 0.052601
dH2-6.2475 ± 0.027695

These are taken from the square root of the diagonal of the inverse of the matrix. The correlated error matrix is too big to show here, but if you want to see it. The dH1 and dH2 are strongly correlated, as are c1x and c2x, and c1y and c2y; and in about the same way. The scaled correlation matrix shows quite a few (not unexpected) correlations.

Ack. Should have checked earlier. The matrix is almost (roundoff errors) singular. The original matrix has determinant E100, which makes dealing with the inverse tricky.


Modified 08-April-2009 at 10:17

http://hep.physics.wisc.edu/~jnb/cms/08Apr2009
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