1. Data analysis in Nagoya
LNGS
Umemoto

2. Contents
NIT-70 and NIT-40
Data matching

3. NIT-70 nm Current standard emulsion has mean crystal size 70 nm
It expect to be high S/N by using brightness information

4. Brightness about 100 keV carbon
Max distribution
Max distribution
NIT-70
NIT-40
NIT-70
NIT-40
NIT-40
NIT-40
2×NIT-40
2×NIT-40
NIT-70
NIT-70
2.8 um
51 pixels
NIT-70
Mean distribution
Mean distribution
NIT-70
NIT-40
NIT-70
NIT-40
NIT-40
2×NIT-40
2×NIT-40
NIT-70
NIT-70
2.8 um
51 pixels
Max : Maximum brightness
Mean : Mean brightness
BG : Background brightness
Optical brightness is increased twice if NIT -70 is used.
*optical response about λ=460 nm light depends on the crystal size
By plasmon. It isn’t clear why twice.

5. Minor distribution 100 keV ion NIT-70 100 keV ion NIT-40 minor minor
3.66±0.235 (1sigma)
201 ±13 nm
3.93±0.230 (1sigma)
216 ± 13 nm
minor
minor
Minor value of silver spherical nanoparticle
Minor(nm)
Minor distribution of ion
comes from the distribution of
crystal and track grains.
Diameter (nm)

6. Detection efficiency and angular resolution
Elliptocity >= 1.25
24.2 % (NIT-40) → 29.5 (NIT-70)
NIT 40 has better angular resolution
several degrees.

7. Fog and dust

8. Ellipticity and minor distribution
NIT keV carbon
NIT keV carbon
Ellipticity
Ellipticity
Minor
Minor
NIT 40 MAA ref
NIT 70 MAA ref
Ellipticity
Ellipticity
Minor
Minor

9. Ellipticity and minor distribution
NIT keV carbon and Maa ref
NIT keV carbon and Maa ref
Ellipticity
Ellipticity
Minor
Minor
Minor cut is effective to identify the signal. We set the cut like below.
NIT-40
3.3 <= minor <=4.1
NIT-70
3.6 <= minor <=4.4

10. Background “ fog and Dust”
Density (/(10um)^3
FAN112gf (NIT-40)
FAN123gf (NIT-70)
All
±0.0402
±0.0569
w / Minor cut
0.0814
0.1476
w/ minor and elli cut
Ellipticity>=1.5
0.0023
0.0036
Error is not
Estimated yet
Density (/ view (100000um^3) =0.34ug)
FAN112gf (NIT-40)
FAN123gf (NIT-70)
All
±4.02
±5.69
w / Minor cut
8.14
14.76
w/ minor and elli cut
Ellipticity>=1.5
0.23
0.36

11. Ellipticity distribution of MAA ref
Ellipticity distribution after minor cut each other
Number of event / view
― NIT-40 (FAN112gf)
― NIT-70 (FAN123gf)
Elipticity

12. Ellipticity and Max brightness
NIT keV carbon
NIT keV carbon
NIT-40
3.3 <= minor <=4.1
NIT-70
3.6 <= minor <=4.4
Ellipticity
Ellipticity
Max-BG
Max-BG
Event density /view
NIT 40 MAA ref
NIT 70 MAA ref
NIT-40
3.3 <= minor <=4.1
NIT-70
3.6 <= minor <=4.4
Ellipticity
Ellipticity
Max-BG
Max-BG

13. Ellipticity and Max brightness
*Fog in carbon sample is not
subtracted
NIT keV carbon
NIT keV carbon
Ellipticity
Ellipticity
Max-BG
Higher detection efficiency can be archived in NIT70
Max-BG
NIT 40 MAA ref
NIT 70 MAA ref
Ellipticity
Ellipticity
e.g. Event selection cut with lower dust event number
Max-BG
Max-BG

14. Ellipticity and Max brightness
*Fog in carbon sample is not
subtracted
NIT keV carbon
NIT keV carbon
Ellipticity
Ellipticity
Max-BG
Higher detection efficiency can be archived in NIT70
Max-BG
We aim to achieve the high S/N by using brightness information like above cut.
Dust is dominant in current our BG, it is better to make a low BG state.
NIT 40 MAA ref
NIT 70 MAA ref
Ellipticity
Ellipticity
e.g. Event selection cut with lower dust event number
Max-BG
Max-BG

15. Prospect
I can not finish summarizing of detector performance and the amount of dust , NIT-40 and NIT-70. I continue this work and report in video meeting.
Additional
Sensitivity of gamma should be evaluated between NIT-40 and NIT-70.
Detection efficiency of lower energy ion with brightness cut.
Neutron analysis

17. For Combine analysis current situation
We passed several samples which already scanned Japanese microscope PTS2 to Napoli for evaluating the relation between Japanese elliptical parameter and polarization analysis.
Sample list: Carbon ion : 100 keV, 60 keV, 30 keV horizontal and 30 keV vertical.
MAA reference, Am241 Gamma
Problem
Most of sample were scanned by Asada in Napoli but the evaluation did not be finished because event matching did not work well.
In PTS2, scanning speed is more important than the accuracy of position about stage movement (current position accuracy about ±3 um).
The combined analysis was stopped….

18. Local matching
The positional displacement can be corrected using pattern matching of detected event in each view.
How to :
1 : rough pattern matching was done between Japanese and Napoli data by moving the position distribution of one stage (1 um pitch) with changing the rotation angle.
⇒ roughly affine parameter was got.
2 : fine pattern matching was done by using rough affine parameter with 0.1 um pitch without changing the rotation angle
3 : event by event matching by selecting closest candidate after fine affine transformation and tagged
* Shiraishi san is the main developer of this analysis. Special thanks to him.

19. Try matching with only parallel translation
JPData
DMRoot
There is a rotation
due to a sample setting or camera.
We set a rotation angle estimated from this event position distribution as a initial value

20. Difference of scanning system
①　stage coordinate
② Camera condition +y JP Np
Pixel size
55 nm
27.4 nm
Cols
2048 pixel
112.6 um
2320 pixel
63.5 um
Rows
1720 pixel
47 um +x
Japan Stage +y +x
Napoli Stage

21. C100 keV scanning
Flow 1 : Japanese scanning with Zigzag line movement.
　　　　　　(100 um pitch 1mm × 1.1 mm)
2 : Napoli scanning as same as JP. Scanned view coordinate was corrected by OP mark.
with blue LED ()
Opticalmark Position
Japan (mm)
Napoli (um)
Op1 (x,y)
(0,0)
(-0.2,-0.1)
Op2 (x,y)
(5.2305, 0.136)
( )
Op3 (x,y)
( , )
(1497.2, )
Op4 (x,y)
(6.2055, )
( , )
Japan (mm)
Napoli (um)
Start position
( ,-8.449)
(-2376, 8306)
　　　　　　　　↑
Measured by JP microscope
　　　　　　 ↑
estimation calculated by Affine
transformation using opticalmark position

22. Event selection for using pattern matching
JPData
Napolidata
Difference layer from surface
±3 layers used
Two peak??
0<gr.z<0.6 looks ion signal region
Surface layer distribution
View ID
Parameters and selection
x = (cl.px-1024)*0.055
y = (-cl.py +1024)*0.055
Cut condition
hd.id== iView &&hd.flag==1 && abs(cl.z-hd.surfLayer)<=3
x = -gr.x
y = -gr.y
Cut condition
hd.aid== iView &&hd.flag==0 && abs(gr.z)>0 && abs(gr.z)<0.6

23. How to obtain polarization parameter
Napoli data was scanned by Asada and root file was uploaded in
RunHeader has no information in this time.
The position and other parameters were obtained from DMRGrain with selection (hd.flag==0&&gr.z>=0&&gr.z<=0.6&&gr.npx>=10).
If pattern matched was successful, we tagged Japanese event with DMRGrain
All DMRCluster belonged to DMRGrain were listed and DMRCluster of the best focus layer with all polarized angle were found.
Our source codes are uploaded Git and made by Cmake .
Please tell me, if you want to get the source code.

24. Affine parameter of matching
Displacement between Napoli and Japan system
● X direction
● Y direction
X + direction movement in JP
Displacement (um)
Displacement was generated by Japanese stage.
X - direction movement in JP
localized
view
Y direction move Each 11 views (100 um)
Rotation angle between Napoli and Japan system
Rotation angle (degree)
Rotation angle was constant.
view

25. Matched event number Event number in each views Number/view PTS2
This difference comes from the view size. ↓
effective area of PTS2 is normalized to Napoli.
PTS2: 1 view = um^2
Napoli : 1view = um^2
Napoli
matched
view
After normalization of event number
Number/view
Most of candidates of Japanese data
are matched.
Napoli
PTS2 normalized
matched
view

26. Barycenter shift After matching
Distribution of number of polarization angle owned in candidate
Polarization data can be obtained with referring your source (DMRView.cpp)
TObjArray* DMRView::GetCLofGRbf( int igr )
*in this time, DMRRun header and DMRFrame are null, so we can not use your source.
Peak come in npol=7
There are many events with npol >8 instead of observation
was done with 8 polarization angle (0~180, 22.5deg pitch)
⇒ cluster was separated to 2 or 3 due to Plasmon ??
npol and barycenter shift
Bshift(um)
Barycenter shift is defined as the maximum distance of two grains using all belonged clusters.
In this time, we have no chance to discuss the method to get barycenter shift with Napoli people.
After meeting, we would like to discuss.
npol

27. Relation between ellipticity and barycenter shift
Bshift(um)
Cut :
3.6<=Jp minor<=4.4
A correlation !
Ellipticity
The signal region was defined as below to detect track length and angle.
JP: ellipticity >=1.5, Napoli: Barycenter>=0.1 um

28. Phi angle relation
Phi angle distribution by Napoli and JP analysis
The difference of detected angle between Napoli and JP analysis
Phi of barshift direction
Difference of angle(degree)
Phi of JP elliptical
Ion beam direction
the detected angle by Napoli Polarization analysis corresponds to that of Japanese analysis.
1 sigma of angular accuracy between JP and Napoli is 6.6 degree.

29. Relation between ellipticity and barycenter shift
Cut :
3.6<=Jp minor<=4.4,Ellipticity >=1.5
0<Bshift<0.05 um
Ellipticity and barycenter shift
Bshift(um)
Japanese angular distribution
Barycenter angular distribution
Ellipticity
The reason is not clear why higher ellipticity event
has lower barycenter shift.
These events are categorized in nano-track??

30. Relation between ellipticity and barycenter shift
Cut :
3.6<=Jp minor<=4.4,Ellipticity <1.25
0.2 <=Bshift
Ellipticity and barycenter shift
Bshift(um)
Japanese angular distribution
Barycenter angular distribution
Ellipticity
We want to know the relation between
Bshift distribution and brightness.
I think these are low brightness??

31. Prospect
Understanding detail about Napoli analysis data of Carbon signal, fog and dust (also gamma).
- Please tell me the characteristic of signal. Current, we use only barycenter shift and temporary cut parameter about npx.
Next, we try matching about Dust and compare the parameters.
- then, the structure is different from ion sample. After meeting, I will do in Napoli.
After that, neutron sample and Run sample should be analyzed.

34. Out put file out.dat : マッチしたイベントデータ JPCluster DMRGrain [DMRCluster]
iv x y npx mean max minor major angle x y npx vol [ipol x y] … ・ ・ ・