Title: Elastic Data Analysis
1Elastic Data Analysis
Jorge Molina
CBPF
PID Meeting 06/Feb/2003
2EVENT SELECTION
- Cuts in multiplicity are made requiring
- One or zero hits in each of 12 planes
- (6 x detector)
- Must exist 3 reconstructed segments per
- detector, ie all 6 segments must be nonzero
-
- The values of x and y are calculated with ideal
- positions of the segments (J. Barreto method)
- Values of x accepted if the difference between
- x_uv and x_seg is less than 0.5 mm (tough
- condition)
-
3Hitmap of events for runs at Operational position
Beam position
17.1 mm (9 sigmas)
P1D Detector
Beam position
13.8 mm (9 sigmas)
P2D Detector
4Hitmap of events for runs at 4 mm off from
Operational position
Beam position
21.1 mm
P1D Detector
Beam position
17.8 mm
P2D Detector
5RECONSTRUCTED xi VALUES
The reconstructed xi values for runs 132-188 at
operational positions
PRELIMINARY!
6RECONSTRUCTED t VALUES
Data behaves according to theory in the t range
covered by the FPD detector.
PRELIMINARY!
For elastic events we expect a behavior like
7MONTE CARLO
Simulation of elastic events for pots at
operational positions
8Another view of MC elastic events (13k), taking
as reference the beam line
Beam position
17.1 mm (8.98 sigmas)
Beam position
13.8 mm (8.70 sigmas)
9 Nexts Steps
1. Resolution studies 2. Acceptance
studies 3. Efficiency of fibers 4. MC of
elastic events --gt In progress 5. dN/dt
Plots --gt estimated for march
Need the mapping file