Title: "Elastic and inclusive
1"Elastic and inclusive scattering cross-section
studies for E1E data"
Nikolay Markov
2Goals and outline.
- Perform electron ID for 2 data sets of E1E
experiment - Obtain elastic cross-section from data
- Obtain inclusive cross-section from data
- Compare cross-sections to existing models.
31 GeV electron ID.
Number of photoelectrons greater then
0 Calorimeter cut
4Fiducial cut
5W distribution
By making cut on W (0.9 lt W lt 1.05)
cut
cut
cut
cut
cut
cut
6distribution for elastic electrons
7Vertex correction
Using Cole Smiths procedure for vertex correction,
Vertex cut
After
Before
8Correction
Using Cole Smiths procedure,
Black before correction, red - after
9Resulting W distribution.
Before
After
10Elastic acceptance calculation
- One million events generated uniformly in phi
and theta
- Ratio of accepted to generated events in each
theta bin was calculated
11Elastic cross-section comparison
Now we can calculate ratio of our experimental
cross-section to theoretical value
12Selecting Q2 bins.
Using this Q2 distribution of events, regions of
Q2 were chosen to calculate inclusive
cross-section.
13Inclusive acceptance
- 1 million events generated uniformly in theta
(20,60) degree, phi (-30,30) - degree and momentum (0,1) GeV.
- Based on fiducial cuts, some events were
accepted, some rejected, and result written in
different Q2 bins
- Ratio of accepted to generated was calculated in
each W bin
Generated
Generated
Accepted
Accepted
Generated
Generated
Accepted
Accepted
14BH subtraction
- By cut on phi_proton-phi_electronlt2o we can
select elastic events
- By cut on phi_proton-phi_electronlt2o we can
select elastic events
- Comparing W distributions before and after the
cut, we can find - normalizing coefficient
- Then, we apply normalizing coefficient to W
distribution and subtract it from one before
cuts, and, as final step, for inclusive region
calculate the ratio of result of subtraction to
initial W distribution
Phi cut
Phi cut
All
All
Phi cut
Phi cut
All
All
Phi cut
Phi cut
All
All
15The resulting inclusive cross-section
Model
Model
Data
Data
16Simulation
- Simulation using keppel_rad and keppel_norad was
apllied to - determine radiative correction to experimental
cross-section.
- Resulting correction coefficient, defined as
ratio of number radiative events in one bin to
number of non-radiative is
Radiative
Radiative
Non-radiative
Non-radiative
0.3ltQ2lt0.4
0.2ltQ2lt0.3
17Resulting Cross-section
model
model
experiment
experiment
0.2ltQ2lt0.3
0.3ltQ2lt0.4
182 GeV electron ID.
Same cuts were used, except for fiducial cut,
which is tighter
19Vertex cut
Procedure, applied for 1 GeV vertex correction
doesnt work here, so separate vertex cuts were
used for different sectors.
cut
cut
cut
cut
cut
cut
20W spectrum
21Acceptance.
With new fiducail cuts, we need to recalculate
our elastic acceptance
Old
New
22Comparison of elastic cross-section
23Q2 distribution
Several regions were chosen to calculate
inclusive cross-section
24Unselecting the 0 region
25Systematic studies
Systematic studies for 2 GeV inclusive
cross-section consists of the following For BH
elimination procedure, different cuts to select
elastic events were applied first, we obtained
cross-section with phi_proton-phi_electronlt2o,
then ,with phi_proton-phi_electronlt1o, and the
difference between these approaches was
interpreted as systematic error of our BH
subtraction procedure.
1o
2o
26Resulting cross-section
Red model, black data, blue systematic
errors
0.6ltQ2lt0.7
0.5ltQ2lt0.6
27Resulting cross-section
Red model, black data, blue systematic
errors
0.8ltQ2lt0.9
0.7ltQ2lt0.8
28Resulting cross-section
Red model, black data, blue systematic
errors
0.8ltQ2lt0.9
29Radiative corrections
Using the same procedure, as for 1 GeV data, we
obtained following cross-sections
Red model, black - data
0.5ltQ2lt0.6
0.6ltQ2lt0.7
30Radiative corrections
Red model, black - data
0.7ltQ2lt0.8
0.8ltQ2lt0.9
31Radiative corrections
0.9ltQ2lt1.0
Red model, black - data
32ID check
Since there are visible problems with inclusive
cross-section, Studies were performed to check
whether electron ID, used for 2 GeV run is
adequate enough for two GeV data.
Number of photoelectrons
Number of photoelectrons vs W
1 GeV
2 GeV
33Conclusion
- For 1 GeV and 2 GeV data set electron ID was
performed - Elastic cross-sections for both data set is in
good agreement with model - Inclusive cross-section for 1 GeV data set is in
reasonable agreement with model - Inclusive cross-section for 2 GeV data set need
improvement - For 2 GeV data set modification of electron ID,
including Cherenkov cut looks necessary - For 2 GeV data set there is a need to perform
kinematical and vertex corrections based on 1 GeV
procedure.