LB RunGroupC Vertex

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Vertex Reconstruction studies

Inclusive electron GEMC 2.4 & Coatjava 2.4

LB_GEMC2.4CJ2.4_Vertex



Summary

Set all histogram ranges to -6,6 cm  and bin sizes of 0.1 cm

Below are some of the sample GEMC simulations as seen in the CED


6cm Z Target, No Rotation 6cm Z Target, 270 Degree Rotation 6cm Z Target, 90 Degree Rotation 2cm Y Target, 30 Degree Rotation 2cm Y Target, 180 Degree Rotation 2cm X Target, 90 Degree Rotation 2cm X Target, 270 Degree Rotation
Ced ZRaster 0DegRot.png 6cm ZTarg 270DegRot CED.png Ced ZRaster 90DegRot.png 2cm YRaster 30DegRot ced.png Ced YRaster 180DegRot.png Ced XRaster 90DegRot.png Ced XRaster 270DegRot.png


There is a bash script on lds2 that will create Vx,Vy, and Vz differences for a point target, 3 2 cm line targets (in X,Y, and Z), 2 2D targets (one XZ target where X = 2cm and Z = 6cm and another where Y = 2cm and Z = 6 cm), and one 3D target where X = Y = 2cm and Z = 6cm. A 6 GeV electron is fired at angles [math]\theta = 25[/math] degrees and [math]\phi = 30[/math] degrees. The path to the script is /home/lds/src/CLAS/GEMC/experiments/eg12/vertex and the file is called run.exe. To run it you must be in a tcsh and have the setup in the GEMC directory sourced. Then simply hit ./run.exe. Right now the number of events is small (100), but that can easily be changed within the script.

Point target X,Y,Z=0 cm

The histograms below are using a 6 GeV electron fired at an angles of 25 degrees in theta and 0 degrees in phi.

For the plots below, I used the following gcard, sample LUND file, and commands in GEMC 2.4, coat-java 2.4, and ROOT

gcard:

<gcard>

      <detector name="../../../../clas12/fc/forwardCarriage" factory="TEXT" variation="original"/>
      <detector name="../../../../clas12/dc/dc"            factory="TEXT" variation="ccdb"/>
      <detector name="../../../../clas12/ec/ec"            factory="TEXT" variation="original"/>
      <detector name="../../../../clas12/ctof/ctof"            factory="TEXT" variation="original"/>
      <detector name="../../../../clas12/ftof/ftof"            factory="TEXT" variation="java"/>
      <detector name="../../../../clas12/htcc/htcc"            factory="TEXT" variation="original"/>
      <detector name="../../../../clas12/pcal/pcal"            factory="TEXT" variation="javageom"/>
      <detector name="../../../../clas12/magnets/solenoid" factory="TEXT" variation="original"/>
      <option name="SCALE_FIELD" value="clas12-torus-big, -1"/>
      <option name="HALL_FIELD"  value="clas12-solenoid"/>
      <option name="OUTPUT" value="evio,eg12_sol_75k_No_Raster.ev"/>

</gcard>

Sample LUND File:

1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0 0 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0 0 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0 0


GEMC Command:

~/src/CLAS/GEMC/source/gemc -USE_GUI=0 -INPUT_GEN_FILE="LUND,No_Raster.LUND" -N=75000 eg12_sol_No_Raster.gcard

Coat-Java 2.4 command:

~/src/CLAS/coatjava-2.4/bin/clas12-reconstruction -i ../files/vertex/vertex.evio -config GEOM::new=true -config MAG::torus=-1.0 -config MAG::solenoid=1.0 -o ../files/vertex/vertex_rec.evio -s DCHB:DCTB:EC:FTOF:EB -config DATA::mc=true -config DCTB::useRaster=true

Sample ROOT command:

clas12->Draw("GenPart.x - Event.x","abs(Event.x)<3");


No Rastering
Vx Difference NoRaster VxDifference sol.png
Vy Difference NoRaster VyDifference sol.png
Vz Difference NoRaster VzDifference sol.png
X Resolution (cm) 0.2362 +/- 0.0008
Y Resolution(cm) 0.09809 +/- 0.00033
Z Resolution (cm) 0.05435 +/- 0.00017


These histograms raise some questions. To begin I created a LUND file with 6 GeV incident electrons at 25 degrees in theta and 0 degrees in phi. All of the vertex positions were set to 0. I then ran GEMC 2.4 using the command line ~/src/CLAS/GEMC/source/gemc -USE_GUI=0 -INPUT_GEN_FILE="LUND,No_Raster.LUND" -N=75000 eg12_sol_No_Raster.gcard

which created an output file called eg12_sol_75k_No_Raster.ev. After that the reconstruction command line used was

~/src/CLAS/coatjava-2.4/bin/clas12-reconstruction -i eg12_sol_75k_No_Raster.ev-config GEOM::new=true -config MAG::torus=-1.0 -config MAG::solenoid=1.0 -o eg12_sol_75k_No_Raster_rec.evio -s DCHB:DCTB:EC:FTOF:EB -config DATA::mc=true -config DCTB::useRaster=true

After the reconstruction a root file was created using

~/src/CLAS/evio2root/bin/evio2root eg12_sol_75k_No_Raster_rec.evio eg12_sol_75k_No_Raster_rec.root 75000

A plot was then created to show the X Vertex and Y Vertex Differences

NoRaster Vx YDifference.png

The first question is why is there a shift in the Y Difference. What would make X more centered around 0? The next question is when rastering begins, why do the resolutions in the X Vertices remain unchanged while the resolutions in the Y Vertices change?

Point in 2-D but extended target in 1-D

Two vertex variables are fixed at zero and the third vertex variable is altered. A 6 GeV electron was fired at angles of 25 degrees in theta and 0 degrees in phi.

The gcard used had the same detector parts as above, but the filename and pathways were changed.

Below is a sample line from the LUND files:

For 2cm X Target: 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0.999484 0 0

For 2cm Y Target: 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0.999484 0

For 2cm Z Target: 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0 2.99845


Also, here are the GEMC, Coat-Java, and a sample ROOT command.

GEMC: ~/src/CLAS/GEMC/source/gemc -USE_GUI=0 -INPUT_GEN_FILE="LUND,test.LUND" -N=100 eg12.gcard

Coat-Java:~/src/CLAS/coatjava-2.4/bin/clas12-reconstruction -i ../files/vertex/vertex.evio -config GEOM::new=true -config MAG::torus=-1.0 -config MAG::solenoid=1.0 -o ../files/vertex/vertex_rec.evio -s DCHB:DCTB:EC:FTOF:EB -config DATA::mc=true -config DCTB::useRaster=true

Sample ROOT command: clas12->Draw("GenPart.x - Event.x","abs(Event.x)<2");

2cm X Raster, Y=0,Z=0 2 cm Y Raster, X=0,Z=0 2 cm Z Raster ,X=0,Y=0 6 cm Z Raster ,X=0,Y=0
Vx Difference 1cm XRaster VxDifference sol 75k.png 1cm YRaster VxDifference sol.png 2cm ZRaster VxDifference sol.png 3cm ZRaster VxDifference sol.png
Vy Difference 1cm XRaster VyDifference sol.png YRaster Eventy.png 2cm ZRaster VyDifference sol.png 3cm ZRaster VyDifference sol.png
Vz Difference 1cm XRaster VzDifference sol.png 1cm YRaster VzDifference sol.png 2cm ZRaster VzDifference.png 3cm ZRaster VZDifference sol 75k.png
X Resolution (cm) 0.2658 +/- 0.0010 0.2531 +/- 0.0009 0.2544 +/- 0.0009 0.2539 +/- 0.0009
Y Resolution(cm) 0.1728 +/- 0.0007 0.2368 +/- 0.0007 0.2644 +/- 0.0007 0.6191 +/- 0.0013
Z Resolution (cm) 0.1792 +/- 0.0006 0.1998 +/- 0.0004 0.4318 +/- 0.0009 1.105 +/- 0.002


Extended target -3 < Z < 3 cm

For the plots below a 6 GeV electron was fired at angles theta = 25 degrees and phi = 0 degrees. There were 3 separate simulations ran for when -3 cm < Z < 3 cm. The first was a 2-D target with -3 cm < Z < 3 cm and -1 cm < X < 1 cm and Y = 0 cm, while the second had the same values for Z, but instead -1 cm < Y < 1cm and X = 0 cm. The final set of plots was created using -3 cm < Z < 3 cm , -1 cm < X < 1 cm, and -1 cm < Y < 1 cm.

Below are some of the sample LUND files used.

For the XZ Target:

1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 -0.67418 0 2.99845 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0.894402 0 -1.30429

For the YZ Target:

1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 -0.67418 2.99845 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0 0.894402 -1.30429


For the XYZ Target:

1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 -0.67418 -0.434764 2.99845 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 -0.536687 -0.0300528 2.68321 1 1 1 1 1 1.00029 0.0718059 0.937771 1.48222 0.789865 1 -1 1 11 0 0 0 2.53564 5.43788 6 0.000511 0.488611 0.0800873 2.74486


The GEMC and Coat-Java command lines are similar to the previously seen commands. The only things that changed were the LUND file names, and the ev/evio filenames. The command lines can be seen at the top of the histograms.

VertREC_9-22-16_table_3ltZgt-3

Extended target in Z. Vy shift analysis

All Histograms below were created by simply making the target longer along the Z axis. Each case uses vertex points for X and Y ranging from -1cm to 1cm

VertREC_9-22-16_table_3ltZgt-3_1gtRlt-1

Localized Vertex Resolution Investigation of Line Targets

GEMC was ran to create electrons being produced in a line along certain axes. These include three separate 2cm targets centered at (0,0,0) in the X, Y , and Z directions. The final target is a line along the Z axis centered at (0,0,0) that is 6cm long. The generated electrons were shot at 25 degrees in theta and 0 degrees in phi at an energy of 6GeV.

Here is an example of how the cuts were made. Consider the case of a 2cm line target in the Z direction centered at (0,0,0). Closed intervals begin at the end of the target and are 0.1cm long. So the first interval would be [-1.0,-0.9], then the next would be [-0.9, -0.8] and so on until the entire target is covered. The events in the EVENTHB bank were cut so that in any given interval there would be a margin of +/- 1cm from the end of the area of interest to remove any outliers that may cause the histograms to have long tails.



Below are the histograms for the 2cm line target in Y,X=0,Z=0. The electrons were fired with an energy of 6 GeV at 25 degrees in theta at 0 degrees in phi.

2cm YLineTarg 0 Degree Rotation 09/23/16

Below are the histograms for a 2cm target along the Y axis, X = 0 Z = 0. The electrons were fired with an energy of 6 GeV at 25 degrees in theta and 180 degrees in phi.

2cm YLineTarg 180 Degree Rotation 09/23/16

Below are the Histograms for a 2cm long target in the X Direction with a 6GeV electron fired at 25 degrees in theta and 90 degrees in phi

2cm XLineTarg 90 Degree Rotation 09/23/16

Below are the Vx Differences using a 2cm target in X with incident 6 GeV electrons at 25 degrees in theta and 270 degrees in phi


2cm XLineTarg 270 Degree Rotation 09/23/16


Below are the histograms for a 6cm target in the Z direction using a 6 GeV electron fired at 25 degrees in theta and 0 degrees in phi.


6cm ZLineTarg 0 Degree Rotation 09/23/16

Below are the histograms for a 6cm target in the Z direction using a 6 GeV electron fired at 25 degrees in theta and 90 degrees in phi.


6cm ZLineTarg 90 Degree Rotation 09/23/16


Below are the histograms for a 6 GeV electron fired at angles 25 degrees in theta and 270 degrees in phi. The target was 6cm in the Z direction.


6cm ZLineTarg 270 Degree Rotation 09/23/16


Below are the histograms for a 2cm target along the Y axis, X = 0 Z = 0. The electrons were fired with an energy of 6 GeV at 25 degrees in theta and 30 degrees in phi.

2cm YLineTarg 30 Degree Rotation 09/23/16


Below are the histograms for a 2cm Y target with an incident electron energy of 6 GeV. The angles were theta = 25 degrees and phi = 210 degrees


2cm YLineTarg 210 Degree Rotation 09/23/16

Localized Vertex Resolution Investigation of 2 Dimensional Targets

The histograms below were created using a 6 GeV electron fired at 25 degrees in theta and 30 degrees in phi. To make the cuts I simply made circles of increasing radius centered at the origin. I used 0.1cm increments to make the 10 histograms for each vertex position.

Below are the Vx and Vy Differences for a 2cm XY target, Z=0.

2cm XYTarg Z=0 Vx and Vy Differences 09/23/16

Below are the Vy and Vz differences for a 2cm target in Y and Z, X=0. The electrons were fired with an energy of 6 GeV and angles of 25 degrees in theta and 30 degrees in phi.


2cm YZTarg X=0 Vz and Vy Difference 09/23/16

Below are the Vx and Vz differences for a 2cm XZ target, Y = 0. The electrons were fired with an energy of 6 GeV at angles theta = 25 degrees and phi = 30 degrees.


2cm XZTarg Y=0 Vx and Vz Differences 09/23/16

Localized Vertex Resolution of 3 Dimensional targets

For the plots below, a 6 GeV electron was fired at angles 25 degrees in theta and 30 degrees in phi. The target has an XY radius of 1cm and a length in the Z direction of 6cm. Setting GenPart.z = 0cm, the resolution was investigated as a function of the target's XY radius along with a table for the values.

In this section, concentric rings with a thickness of 0.1cm were created within the target. For example these plots would include a ring centered at x=y=z=0 and include all GenPart.x and GenPart.y from (0.0 cm, 0.1 cm), then another ring would include all Genpart.x and GenPart.y events from (0.1 cm, 0.2 cm) and so on until we reach the edge of the target. Below is a visualization of the cuts as seen in a 2D cross section of the target.

2DTargAnnularCuts.png

AnnularRad vs Sigma z=0.png

clas12->Draw("Event.z >> (100,-5,5)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.95 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.85");

R (cm) 0.05 +/- 0.05 0.15 +/- 0.05 0.25 +/- 0.05 0.35 +/- 0.05 0.45 +/- 0.05 0.55 +/- 0.05 0.65 +/- 0.05 0.75 +/- 0.05 0.85 +/- 0.05 0.95 +/- 0.05
Width (cm) 0.05094 +/- 0.0019 0.07812 +/- 0.0018 0.3688 +/- 0.0063 0.5231 +/- 0.0077 0.718 +/- 0.012 0.7987 +/- 0.0092 0.8709 +/- 0.0085 1.038 +/- 0.01 1.183 +/- 0.012 1.296 +/- 0.013


For the next set of plots, the GEMC simulations had the same energy and angles as above. To construct scatter plots, similar annular cuts in the radius were made (similar to above), but this time the thickness of each ring was 0.2 cm (to ensure enough events were present). In addition, the target will become extended in Z. Cuts were made in Z by restricting GenPart.z to be within a range of certain values. Each "washer" shape has a thickness of 0.5 cm in the Z direction. Histograms were created using the following command line as an example

clas12->Draw("GenPart.z - Event.z >> (100,-5,5)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.2 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.0 && GenPart.z > 0.0 && GenPart.z < 0.5");


Below is a plot and a table for the Radius vs. Sigma of GenPart.z - Event.z for several cuts in Z. For the plot each Radius is centered at the point plotted with a width of +/- 0.1 cm.

Radius vs sigma pos half.png

Z = (0.0 cm, 0.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1548 +/- 0.0106 0.1825 +/- 0.0086 0.2167 +/- 0.0078 0.26 +/- 0.01 0.2774 +/- 0.0075
*******************************************
Z = (0.5 cm, 1.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1672 +/- 0.0109 0.1636 +/- 0.0064 0.2277 +/- 0.0075 0.3203 +/- 0.0107 0.3287 +/- 0.0082
*******************************************
Z = (1.0 cm, 1.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1282 +/- 0.0068 0.1551 +/- 0.0042 0.1842 +/- 0.0052 0.2172 +/- 0.0069 0.2587 +/- 0.0072
*******************************************
Z = (1.5 cm, 2.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1264 +/- 0.0071 0.1558 +/- 0.0042 0.1795 +/- 0.0043 0.2034 +/- 0.0049 0.2391 +/- 0.0055
*******************************************
Z = (2.0 cm, 2.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1723 +/- 0.0120 0.1519 +/- 0.0038 0.1896 +/- 0.0048 0.2033 +/- 0.0043 0.2361 +/- 0.0048
*******************************************
Z = (2.5 cm, 3.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1273 +/- 0.0054 0.1665 +/- 0.0057 0.1936 +/- 0.0041 0.2143 +/- 0.0042 0.2337 +/- 0.0050


Here is where the problem of a bimodal distribution become relevant as seen below in the histogram.

GenPart.z - Event.z bimodal example.png

For now I will simply fit the larger peak to hopefully get rid of the muddling of the resolution, but this must be noted and investigated further later.

Below is the plot and the table for the negative half of the target.

Radius vs sigma neg half.png


Z = (-0.5 cm, 0.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1666 +/- 0.0128 0.1722 +/- 0.0078 0.1983 +/- 0.0067 0.2193 +/- 0.0060 0.2554 +/- 0.0068
*******************************************
Z = (-1.0 cm, -0.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1435 +/- 0.0069 0.1708 +/- 0.0068 0.2008 +/- 0.0069 0.2094 +/- 0.0058 0.2544 +/- 0.0065
*******************************************
Z = (-1.5 cm, -1.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1418 +/- 0.0073 0.1551 +/- 0.0047 0.2342 +/- 0.0092 0.2286 +/- 0.0066 0.2459 +/- 0.0066
*******************************************
Z = (-2.0 cm, -1.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1562 +/- 0.0091 0.1628 +/- 0.0045 0.2115 +/- 0.0076 0.2061 +/- 0.0056 0.2335 +/- 0.0077
*******************************************
Z = (-2.5 cm, -2.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1312 +/- 0.0059 0.1517 +/- 0.0040 0.2061 +/- 0.0049 0.257 +/- 0.008 0.2484 +/- 0.005
*******************************************
Z = (-3.0 cm, -2.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1339 +/- 0.0065 0.1539 +/- 0.0038 0.202 +/- 0.004 0.2537 +/- 0.0061 0.2517 +/- 0.0062


It would seem that the bimodal distribution is having an effect on the results. It is counterintuitive that the resolution would get better the farther away from zero the events are. To begin investigating this, I made a Radius vs. Sigma plot for several values of Z. Here are some sample command lines in ROOT to get the width of the Gaussian peak.


clas12->Draw("Event.z >> (100,-5,5)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<1.0 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.8 && GenPart.z = 0");

clas12->Draw("GenPart.z - Event.z >> (100,-5,5)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.6 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.4 && GenPart.z > 0.1 && GenPart.z < 0.5");

clas12->Draw("GenPart.z - Event.z >> (100,-5,5)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.6 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.4 && GenPart.z > 0.5 && GenPart.z < 1.0");



Radius vs Sigma Bimodal Investigation.png


Z = 0.0 cm
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.2873 +/- 0.0035 0.3457 +/- 0.0026 0.4045 +/- 0.0026 0.4466 +/- 0.0026 0.5359 +/- 0.0033
*******************************************
Z = (0.1 cm, 0.5 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.141 +/- 0.010 0.1651 +/- 0.0086 0.1991 +/- 0.0082 0.2572 +/- 0.0093 0.2676 +/- 0.0081
*******************************************
Z = (0.5 cm, 1.0 cm)
R (cm) 0.1 0.3 0.5 0.7 0.9
Sigma (cm) 0.1672 +/- 0.0109 0.1636 +/- 0.0064 0.2277 +/- 0.0075 0.3203 +/- 0.0107 0.3287 +/- 0.0082



To investigate the mystery as to why the resolution seems to get better as we move away from Z = 0 cm, I will plot create radius vs. sigma plots for different values of Z to try and pinpoint the problem.

Below is a link to the histograms for Z = 0 cm. A sample command line used is shown.

root [5] clas12->Draw("GenPart.z - Event.z >> (120,-6,6)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.1 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.0 && GenPart.z = 0");

Histograms for Increasing Radii, Z = 0cm

Radius vs Sig GenPart.z=0.png

Now that the Z = 0cm case has been done, the annular cuts will start to have a thickness of 0.25 cm in the Z direction. A sample command line in root is provided below. Notice that the annular thickness has been increased from 0.05 cm to 0.1 cm to increase the number of events in each histogram.


root [5] clas12->Draw("GenPart.z - Event.z >> (120,-6,6)","sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)<0.05 && sqrt(GenPart.x*GenPart.x+GenPart.y*GenPart.y)>0.0 && GenPart.z > 0 && GenPart.z < 0.25");

Histograms for Increasing Radii, Z = (0.0cm,0.25cm)

It would seem that the resolution when 0.6cm<R<0.7cm has failed completely. To double check on lds3 go to

/home/lds/src/CLAS/GEMC/experiments/eg12/vertex/XYZRaster/Solenoid_On/30DegRot

root -l eg12_sol_75k_2cm_XYRaster_6cm_ZRaster_30DegRot_rec_cat.root

then use the command

clas12->Draw("GenPart.z - Event.z>>(120,-6,6)","sqrt(GenPart.x*GenPart.x + GenPart.y*GenPart.y)>0.60 && sqrt(GenPart.x*GenPart.x + GenPart.y*GenPart.y)<0.70 && GenPart.z > 0.0 && GenPart.z<0.25");

Then by doing a Gaussian fit, the problem will appear.


Histograms for Increasing Radii, Z = (0.25cm,0.5cm)

Histograms for Increasing Radii, Z = (1.25cm,1.5cm)

Histograms for Increasing Radii, Z = (2.0cm,2.25cm)

In the histograms for increasing radii for Z = (-0.25cm,0.0cm) (not here yet), the histogram for 0.4cm<R<0.5cm seems very odd, but I verified it with root. Do a gaussian fit with the file eg12_sol_75k_2cm_XYRaster_6cm_ZRaster_30DegRot_rec_cat.root

and use the command line

root [1] clas12->Draw("GenPart.z - Event.z>>(120,-6,6)","sqrt(GenPart.x*GenPart.x + GenPart.y*GenPart.y)>0.4 && sqrt(GenPart.x*GenPart.x + GenPart.y*GenPart.y)<0.5 && GenPart.z > -0.25 && GenPart.z<0.0");

Below is a plot of the annular radius vs. the width of the Gaussian fit for Z = (-1.0 cm, 0.0 cm)

AnnularRad vs Sigma Z=(-0.25,0.0).png

Below is a plot of the annular radius vs. the width of the Gaussian fit for z = (-2.0cm,-1.0cm)

AnnularRad vs Sigma Z=(-2.0,-1.0).png

Elastic electron proton GEMC 2.4 & Coatjava 2.4

References

https://clasweb.jlab.org/wiki/index.php/TF_EG12_Vertex#Z_resolution_With_micro-megas

EG12#Vertex_Studies