The theoretical model has events which are detected by physically impossible valued wires. If we limit the lowest wire value to 0.5 and the highest to less than 112.5
The theoretical model has events which are detected by physically impossible valued wires. If we limit the lowest wire value to 0.5 and the highest to less than 112.5
Using the histogram integral function we find the sum of the values for the wire 1 bin. Collecting the individual <math>d\sigma</math> for each theoretical and physical hits on DC wires.
Using the histogram integral function we find the sum of the values for the wire 1 bin. Collecting the individual <math>d\sigma</math> for each theoretical and physical hits on DC wires.
A bash script to run the GEMC simulations is created. tcsh scripts to run root2evio on lds2 is called using sshpass. The lds2 scripts use sshfs
The main script on lds3:
Performing a Riemann sum for [math]\displaystyle{ -30^{\circ} \lt \phi \lt 30^{\circ} }[/math]
The cross section should be equal between both frames since the number of particles is an invariant. The differential cross section must differ between frames since the solid angle does vary.
Since the differential cross section is known in the Center of Mass frame of reference, but measurements are taken in the Lab Frame, a transformation must occur.
Not all 1st hits are on layer 1. Using the correlated theoretical wire number associated with the LUND Theta and Phi values:
The theoretical model has events which are detected by physically impossible valued wires. If we limit the lowest wire value to 0.5 and the highest to less than 112.5
σ=0.000014 barnσ=0.000013 barnσ=0.000013 barn
Using the histogram integral function we find the sum of the values for the wire 1 bin. Collecting the individual [math]\displaystyle{ d\sigma }[/math] for each theoretical and physical hits on DC wires.
For [math]\displaystyle{ 5^{\circ}>\theta<40^{\circ}\ -30^{\circ}>\phi<30^{\circ} }[/math]
FOR DC Limits
Calculating
[math]\displaystyle{ N_0=\Delta t \cdot R_{events}=\Delta t \cdot \frac{N_{events}}{t_{simulated}}=250\times 10^{-9}\ s \cdot \frac{98181}{9.3\times 10^{-6}\ s}=2639 }[/math]
[math]\displaystyle{ Occupancy=\frac{N_{hits}}{N_0}=\frac{N_{hits}}{\Delta t \cdot R_{events}}=\frac{t_{simulated}\cdot N_{hits}}{N_{events}\cdot \Delta t}= }[/math]