Difference between revisions of "EG1 Teleconferences DeltaDoverD"
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The cherenkov spectrum below is observed for particles identified as electrons in the EG1 data in which 6 superlayers have been used to determine their trajectory. | The cherenkov spectrum below is observed for particles identified as electrons in the EG1 data in which 6 superlayers have been used to determine their trajectory. | ||
− | The table below compares the cherekov spectrum fit values with and without the 6 superlayer requirement. If 6 superlayers are required for the electron reconstruction, the high PE gaussian distribution mean changes from 5.3 PEs to 3.8 PEs and is not not consistent within 2 standard deviations of the fit errors. | + | The table below compares the cherekov spectrum fit values for particles identified as electrons with and without the 6 superlayer requirement. If 6 superlayers are required for the electron reconstruction, the high PE gaussian distribution mean changes from 5.3 PEs to 3.8 PEs and is not not consistent within 2 standard deviations of the fit errors. The LOW PE gaussian distribution, the suspected pion contamination, mean changes from 0.7 to 1.0 PEs. |
− | + | The cuts decreases the number of entries by 37.17 %. It is believed that the Gaussian distribution cetnered around 1 PE is due to high energy pions(>2.5GeV), which have enough momentum to emit Cherenkov light. and also because of the bad collection of light, there are a particular polar and azimuthal combination of angles where The Cherencov Detector cannot receive emitted light. .<br> | |
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Table: Cherenkov fit values | Table: Cherenkov fit values |
Revision as of 03:36, 29 January 2009
15-1-09
Electron-Pion Contamination Estimate
Cherenkov PE Calculation
As shown in the wiki section, Particle_Identification#Cherenkov,
the expected number of photoelectrons produced by electrons traversing the CLAS cherenkov detector would be
if you assume a
of 1 for the detected electrons in our data sample.The expected number of photoelectrons in the CLAS cherenkov detector for the pion energy range in the EG1 data set is shown in the graph below.
Our theoretical expectation, based on the description of the CLAS cherenkov detector suggests, that pions can generate up to about 10 photoelectrons compared with the 13 photoelectrons that can be generated by electrons. While the cherenkov detector can distinguish a 4 photoelectron signal generated by pions of momentum 3 GeV or less from the 10 photoelectrons generated by the typical detected electron, high momentum pions would generate photoelectron signals which are comparable to the photoelectrons generated by an electron.
Measured CLAS Cherenkov signal
Electrons
The cherenkov signal measured in CLAS for particles identified as electrons by the tracking algorithm is shown below. There are two distributions present. One distribution is centered around 0.7 PEs and the second distribution is at 5.3 PEs when two gaussians and a Landau distribution are combined and fit to the spectrum.
- PE Fit equation (Osipenko's CLAS Note 2004-20 File:CLAS Note-2004-020.pdf)
As we will show below, the first peak is due to the misidentification of a negative pion as an electron.
Reconstruction of an electrons trajectory through the CLAS drift chambers can be done using either 5 or 6 super layers. Do tracks reconstructed using 5 superlayers generate cherenkov signals which differ from tracks reconstructed using all 6 DC superlayers? The track reconstruction algorithm records the number of superlayers used for the track reconstructions. This number is recorder in the EG1 DST files within the "flag" variable. If the "flag" variable in the DST is larger than 10, then 6 superlayers were used for the track reconstruction. The cherenkov spectrum below is observed for particles identified as electrons in the EG1 data in which 6 superlayers have been used to determine their trajectory.
The table below compares the cherekov spectrum fit values for particles identified as electrons with and without the 6 superlayer requirement. If 6 superlayers are required for the electron reconstruction, the high PE gaussian distribution mean changes from 5.3 PEs to 3.8 PEs and is not not consistent within 2 standard deviations of the fit errors. The LOW PE gaussian distribution, the suspected pion contamination, mean changes from 0.7 to 1.0 PEs.
The cuts decreases the number of entries by 37.17 %. It is believed that the Gaussian distribution cetnered around 1 PE is due to high energy pions(>2.5GeV), which have enough momentum to emit Cherenkov light. and also because of the bad collection of light, there are a particular polar and azimuthal combination of angles where The Cherencov Detector cannot receive emitted light. .
Table: Cherenkov fit values
Distributions | amplitude | mean | width | amplitude | mean | width |
---|---|---|---|---|---|---|
without cuts | with cut(flag>10) | |||||
gauss(0) | p0=2144+/-44.0 | p1=5.342+/-0.343 | p2=7.761+/-0.188 | p0=1580+/-8.1 | p1=3.75+/-0.06 | p2=8.486+/-0.042 |
landau(3) | p3=4.349e+04+/-2894 | p4=1.049+/-0.026 | p5=0.2197+/-0.0257 | p3=8600+/-3648.7 | p4=-3.861+/-1.414 | p5=-4.88+/-1.41 |
gauss(6) | p6=4960+/-270.6 | p7=0.7345+/-0.0983 | p8=0.8885+/-0.0594 | p6=6219+/-54.2 | p7=1.088+/-0.006 | p8=0.6037+/-0.0052 |
When flag cut(flag>10 cut means that 6 superlayers were used in track fit) was applied the number of entries decreased by 37.17 % and the mean value for the number of photoelectrons is about 7-8. After 5<nphe<15 cut, the number of entries decreased by 66.63 %.The mean value of the nphe is ~9 which agrees with theory(mean value ~13).
Experiment | B>0 | without cuts | flag>10 | 5<nphe<15 | 5<nphe<15 and flag>10 |
---|---|---|---|---|---|
Pions( )
- _Momentum_vs_Number_of_Photons
After e_flag>10 cut, the number of entries decreased by 30.45 % and the mean value for the number of photons is ~9
Experiment | B>0 | without cuts | e_flag>10 | 0<e_nphe<5 | 0<nphe<5 and e_flag>10 |
---|---|---|---|---|---|
Electron-pion contamination
Osipenko's CLAS Note 2004-20 File:CLAS Note-2004-020.pdf
- EC_tot/P_vs_Number_of_Photoelectrons and EC_inner/P_vs_Number_of_Photoelectrons
Two types of cuts were applied on the distributions below, one on the energy deposited to the inner calorimeter
without cut | _vs_nphe( ) | _vs_nphe ( ) | _vs_nphe( ) |
---|---|---|---|
_vs_nphe( ) | _vs_nphe( and ) | _vs_nphe ( and ) |
---|---|---|
From the EC_tot/P_vs_Number_of_Photoelectrons histogram one can see that the released energy fraction( ) at ~1.5 nphe peak is much smaller than it should be for electrons. In conclusion, the ~1.5 nphe peak is produced by the tail of negatively charged particles(pions). To eliminate negatively charged pions cut is applied on Calorimeter. After the cut was applied the number of entries decreased by ~33.47%.
Distributions | amplitude | mean | width |
---|---|---|---|
with cuts( | and )|||
gauss(0) | p0=1732+/-8.4 | p1=3.886+/-0.050 | p2=8.069+/-0.037 |
landau(3) | p3=8600+/-5160.0 | p4=-2.821+/-1.414 | p5=-7.986+/-1.414 |
gauss(6) | p6=4301+/51.3 | p7=1.189+/-0.008 | p8=0.5299+/-0.0059 |
e_numb_of_photoelectrons with the following cuts
, . To eliminate the photons produced by the negatively charged pions was used the cut on the momentum e_momentum<3 GeV. Because the high energy pions are able to produce photons, which are misidentified with photoelectrons.