# DC Super Layer 1:Layer 1

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# DC Super Layer 1:Layer 1

From the ced simulations

Table 1: Superlayer 1 Change of Coordinates From Wire 1 to Wire 2(cm)
Coordinates(cm) Layer 1 Layer 2 Layer 3 Layer 4 Layer 5 Layer 6
1.22 1.22 1.22 1.22 1.21 1.22
0.00 0.00 0.00 0.00 0.00 0.00
.55 .56 .57 .57 .57 .57

While the wire placement is off, the difference in x and z position is matched by the calculated values. Using the geometric construction for determining angle theta to wire 2:

This equation can be solved for a hypothetical wire 0, which will allow the wire number to be the multiplicative factor for the change from the starting position.

where

Using Mathematica, a series expansion about n=0 can be found:

In[2]:= Series[ArcTan[(20.9972+1.212 n)/(243.1431-0.5652 n)],{n,0,4}]

Out[2]= 0.0861437+0.00514708 n+9.67686*10^-6 n^2-2.72596*10^-8 n^3-2.22159*10^-10 n^4+O[n]^5


This expression will find the angle theta in radians given the wire number. To convert from radians to degrees, we can multiply by 180 and divide by Pi.

In[3]:= 180(0.08614365821719583+0.005147076698801422 n+9.676859262994711*^-6 n^2-2.7259639443492433*^-8 n^3-2.2215881081233252*^-10 n^4+O[n]^5)/3.14159265359

Out[3]= 4.93567+0.294906 n+0.000554443 n^2-1.56186*10^-6 n^3-1.27288*10^-8 n^4+O[n]^5


This tells us that the expression for theta will follow a function that comes from a series expansion. Using Mathematica, a line can be fitted to the data collected on the wire number to angle theta correspondence.

Table 4: Calculated Superlayer 1 Wire-Angle Theta Correspondence in Degrees
Wire Number Layer 1
1 5.23
2 5.53
77 29.80
78 30.13
79 30.46
110 40.45
111 40.76
112 41.07

Declaring the data set:

In[4]:= data1={{1,5.23},{2,5.53},{77,29.80},{78,30.13},{79,30.46},{110,40.45},{111,40.76},{112,41.07}}

Out[4]= {{1,5.23},{2,5.53},{77,29.8},{78,30.13},{79,30.46},{110,40.45},{111,40.76},{112,41.07}}


Testing for a linear fit:

In[5]:= line1=Fit[data1,{1,n},n]

Out[5]= 4.90443 +0.323148 n


Examining the range limits for the angle theta for layer 1:

Taking the difference of the upper and lower limits in theta,

Dividing by the change in wire numbers (112-1=111), we find

This would imply that if the wires were evenly placed, their change in angle theta would increase by the factor of .323 degrees for each increase in wire number, starting obviously with wire 1 at 5.23 degrees. In addition, this implies that the bin spacing for each wire would be around .323 degrees in width.

Checking this, we can find the difference between wires 1 and 2,

Similarly, finding the difference between wires 111 and 112,

These differing values show that the bin width is not uniform in length, therefore a first order, linear fit, will not suffice. The change in bin size, with respect to the angle theta covered, is due to the tilt of the wire plane.

Figure 5.1.1: For a tilted plane, that is offset from the origin, the change in angle between uniformly spaced points depends on the tilt with respect to the beam line. The uniform distance between points, A, can be used to show the angle, each wire bin covers can be found using the law of sines. The interior angle

Using the law of sines,

The range of runs from near to 65 to almost 180 degrees. At with respect to the positive z direction, a right triangle is created. Since the sine function is periodic and reaches its maximum at 90 degrees, this implies that the opposite side to this angle reaches its minimum. On either side of the right angle, as the angle either increases or decreases, the function in a counter-clockwise direction, the angle will continue to increase, while the length of B will decrease, then increase, reaching it's minimum at . This also implies that will increase in size, then decrease, hitting its maximum at the same spot where is at a minimum.

Testing for a quadratic fit:

In[6]:= quad1=Fit[data1,{1,n,n^2},n]

Out[6]= 4.89326 +0.324556 n-0.0000129154 n^2


The quadratic fit does not work since it's first derivative

does not give the same spacing between low and high values of n as seen in the calculated data. The coefficient near the zeroth order for the derivative will have to be smaller than .31 to find a correlation that would agree with calculated values.

Testing for a polynomial of degree 3 fit:

In[7]:= polynomial1=Fit[data1,{1,n,n^2,n^3},n]

Out[7]= 4.93253 +0.297371 n+0.000566298 n^2-3.04016*10^-6 n^3
`

This fit best matches the data found in the calculated data

As discussed earlier, taking the 1st derivative of this function will give us the spacing of the bins as a function of wire number.

The derivative of this function then will tell us where the bin spacing is at a minimum and a maximum.

This is near the point of the plane where as seen in the figure above.