Study of prevalent background for the eBubble-low energy solar
neutrino experiment
Sarah Lewin
Columbia University-Nevis Laboratories, Irvington, New York
Abstract
The eBubble collaboration is motivated by the thirst for knowledge on the topic of what processes
fuel our sun. Specifically, the project is plans to detect the solar neutrinos that are the products of
proton-proton fusion. This solar reaction produces the highest flux of electron neutrinos, and yet
this source of solar neutrinos has remained unexplored due to its inherently weak signal (low rate
and small energy). eBubble will be the a detector sensitive to both the spectrum and the rate of
these elusive neutrinos. The research documented here will address the pressing background issues
that haunt experiments working with a signal of such a low rate (0.001 per day per kg of Neon) and
such a low energy. This study has shown, as hypothesized, that the main background for WIMP
detectors, produced by the neutron byproducts of radioactive impurities in the detector itself, is
of negligible concern. The more pressing background issue comes from a much higher background
signal produced by photon compton interactions. This will also be discussed.
1
FIG. 1: The proton proton fusion reaction in the sun produces the highest flux of solar neutrinos.[1]
I. INTRODUCTION
A. Why Study Low Energy Solar Neutrinos?
Although the eBubble concept envelopes many opportunities to discover new physics,
it is being presented foremost as a tool to study the low-energy solar neutrinos, in the
hopes of further exploring the standard solar model. The project’s capabilities include, but
are not limited to: studying the energy spectrum of solar neutrinos with high precision,
studying the neutrino oscillation phenomena, and probing the innermost workings of the
sun. The neutrino physics questions that can potentially be answered by these new tracking
technologies are numerous.
B. eBubble’s Plan
The eBubble project proposes a new tracking detector to probe p-p fusion reactions in
Sun. The reaction involves the fusion of two hydrogen nuclei into a deuterium nuclei (one
proton and one neutron), and produces a positron and electron neutrino. While this reaction
produces the highest flux of solar neutrinos, their characteristic energy has been, until now,
too low to measure experimentally by standard measures.
2
eBubble boasts the birth of a new concept: cryogenic noble fluids in tracking detectors
through the controlled transport of electron bubbles. The three cryogenic fluids: Helium,
Neon, and most recently Hydrogen display a shared characteristic: the encapsulation of free
injected electrons by a vacuum filled “bubble” with a diameter on the order one nanometer[2].
This phenomena is a result of both a very strong Pauli repulsion between the injected electron
and the noble atoms, and a lack of polarizability of Helium and Neon that is present in the
heavier noble elements.
These electron bubbles have more than one useful characteristic of which the detector
intends to take full advantage of. The extended size of the electron bubble serves to greatly
decrease mobility and aids in the detecting instrumentation for track imaging.
C. Detector Construction
The proposed construction for a meter cubed proof of concept prototype is detailed in
Figure 2. The detector, as well as my simulation, most importantly consists of three mate-
rials. Our target fluid, the cryogenic noble neon, will be doped with 0.1 percent hydrogen,
for gain purposes which hold little bearing on my background concentrated research. The
cryogen will be contained inside a pure copper liner 8 inches thick, which will itself be con-
tained in 1.5 inches of stainless steel. These three components, as will be discussed later,
were those used in producing a simulation of the background signal that my research was
committed to analyzing.
D. Our Signal
The eBubble detector will measure the convolution of the neutrino flux spectrum and the
electron scattering partition. Figure 3 depicts the probability of producing electrons with
different recoil kinetic energies as a function of the kinetic energy itself. Tracking detectors
thus far have lacked the sensitivity to dip into this realm of the neutrino energy spectrum
produced by the proton-proton fusion. One can see that it is most probable for the neutrino
to deposit very little energy onto our target electrons. From this anticipation it follows that
the signal is expected to occur at an exceptionally low rate, roughly 0.001 events per day.
It is thanks to this weak signal that a more careful analysis of potential background sources
3
FIG. 2: The schematics of our meter cubed proof of concept prototype.
FIG. 3: This plot shows the standard solar model’s predicted probability of an incident neutrino
producing electrons with different recoil kinetic energies as a function of the scattered electron
kinetic energy. The signal peaks at zero, and falls off near 0.25MeV.[1]
is necessary.
E. The Background on Background
There exists an extensive list of low energy detector experiments that are required to take
similar background related precautions. These experiments must evaluate the following:
The earth’s atmosphere is incessantly bombarded by cosmic radiation. The most effective
4
way to reduce the incoming cosmic ray background is to place the experiment underground.
Depending on the depth below the earth’s surface, this muon induced background can be
acutely attenuated. A possible location for the eBubble prototype is the Homestake Mine.
The decommissioned underground gold mine in South Dakota was chosen by the NSF as
the site for DUSEL (Deep Underground Science and Engineering Laboratory).
Natural radioactivity presents perhaps the most oppressive component of background.
Naturally occuring radioactive impurities in the immediate environment of the detector can
be effectively minimized by shielding. However, that still leaves the radioactive impurities
of the shields themselves. Careful selection of the detector component materials to minimize
radioactive impurity levels is the only solution.
F. Pure Materials
As previously discussed, the three components of our detector that are critical to an
accurate simulation of the background are stainless steel, copper, and our neon cryogen.
The cryogenic noble fluid, neon, not only boasts the unusual characteristic of electron
bubble creation, but also is an inherently pure material with no natural radioactive isotopes.
By nature of liquid neon’s boiling point, 27 degrees Kelvin, any impurities will “freeze out”
to the walls of the detector so as not to contaminate our intrumented target volume.
The copper used in the 8 inch copper lining of the detector can very easily be attained with
a purity level orders of magnitude greater than the stainless steel, which presents perhaps
the most significant component of radioactive background.
Thus even providing our detector with the purest available materials, an irreducible level
of background is inescapable.
1. Radioactive Impurities in Stainless Steel
The remaining background, that whose analysis this documentation is dedicated to, will
be produced by the radioactive isotopes present in stainless steel. The most common isotopes
are thorium 232, uranium 235 and uranium 238. These isotopes have radioactive decay
chains known to produce an abundance of alpha and beta particles, as well as gamma
emissions.
5
Once again, my motivation has been to confirm the hypothesis that the neutron induced
background that burdens WIMP detector experiments will not be a pressing issue for the
eBubble project. In fact a photon spectra should demand most of our attention.
The alpha and beta particles themselves that are emitted when an unstable isotope ra-
dioactively decays to a more stable one are massive. An alpha particle has an atomic number
of two and an atomic mass number of four, meaning the particle containts two protons and
two neutrons. Beta particles consist of electron, positron, and nuetrino combinations. Thus
they have very little range and are unlikely to penetrate into our target fluid.
However, the gamma emissions, which occurs when an excited nucleus emits a high energy
photons, are neutral and massless, and produce a signal in our target fluid that is nearly
indiscernible from the desired neutrino signal.
II. PHOTON BACKGROUND DUE TO COMPTON SCATTERING
When an excited nucleus decays to a more stable state, it radiates a photon. This is
a frequent occurence over the course of a radioactive isotopes decay chain. Should this
photon enter into our target fluid, interact with a target electron, depositing a small enough
amount of energy, and then escape further detection in our fluid, it may be absolutely
indistinguishable from our neutrino signal. However, careful consideration of these compton
scatterings reveals that photons may present less of a problem than initially conjectured.
If the entering photon is a high energy one, which deposits most of its energy (more than
250keV) in one interaction, and then escapes, we can identify this interaction as background
and remove it. Our signal (see Figure 3) is hypothesized to fall off past 0.25 MeV [3]. It
is more likely, however, that a high energy photon will deposit small amounts of energy
during several well separated Compton interactions, in which case these interactions can be
identified as background (since the neutrino signal consists of one low energy interaction)
and removed. Finally, should a low energy photons be emitted from the radioactive decays
chains in the stainless steel, it would have very low penetration depths, and it is improbable
that they would make it through the rest of the 1.5 inches of SS and 8 inches of Copper.
Though the probability seems low, gamma emission was by no means eliminated from the
very thorough analysis of potential background. Specifically, our my research concentrated
on a 2.614 MeV photon, which is known to radiate from thallium 208 35.6 percent of the
6
time a parent thorium 232 isotope decays[4].
A. Photon Simulation
TABLE I: Final results for the a generated N-Tuple with one million photon events are displayed.
The two cuts of interest include an energy cut requiring interactions to have an energy of less than
250keV, and a fiducial volume cut which put upper and lower bounds on the Z component of the
interactions. These results are the number of events/day/kg of fluid neon of the radial slice, for
a stainless steel with 0.6 ppb of thorium 232. Also shown is the effect of decreasing the radial
instrumentation from 100cm to 50 cm.
isotope no cuts (50cm/100cm) with z cut (50cm/100cm) with z and energy cuts (50cm/100cm)
th232 20341/52229 9066/26190 5258/10023
For my research, I used a geant simulation provided to me, which simulates the inter-
actions of particles with incident matter. The simulation consists fundamentally of the
construction of the detector and the generation of the primary events. The detector con-
struction my results are based on consists only of the 1.5 inches of stainless steel shield, with
the cryogenic neon as our target. The dimensions are consistent with those seen in Figure
2. The photon “events” are randomly generated throughout the stainless steel with a fixed
energy of 2.614 MeV.
B. Photon Results
For my analysis, one million photon events were generated with the energy of 2.614 MeV
for the aforementioned motivations. Each event was given a weight of 0.03, which represents
how many photons per day are expected for our 426.9 kg mass of stainless steel containing
0.6 parts per billion of thorium 232 radioactive isotope impurities. A basic code then sliced
our cylindrical detector into 10 centimeter thick radial slices out to 1 meter. The resulting
histograms depict how many events with only one interaction occur in each radial slice. It
is these events that interest us, since our neutrino signal will be composed of events with
only one interaction with our target fluid. Several cuts were implemented to reflect both
the effects of the realistic fiducial volume of our 1 meter cubed prototype, as well as the
7
Radii100Entries 52229Mean 6.623RMS 2.688
Radii (10cm)0 1 2 3 4 5 6 7 8 9 10
# E
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1.2 Radii100Entries 52229Mean 6.623RMS 2.688
Radii50Entries 20340Mean 2.947RMS 1.303
Radii50Entries 20340Mean 2.947RMS 1.303
Radii
FIG. 4: One million photon events were generated. Events with only one interaction are binned in
this histogram according to which 10 centimeter radial slice the interaction occurs in.
possible effects of being able to only instrument our detector radially out to 50 centimeters
as opposed to the full meter.Potentially reducing the instrumentation, hypothetically due
to budget complications, would most notably increase the background for the radial slice
between 40 and 50 centimeters. This discrepancy becomes minimal toward the more central
slices.
Keeping in mind that the neutrino signal will occur at a rate of 0.001 events/day/kg of
Neon, the background noise from photons eliminates the validity of the signal much past the
inner radius of 20 cm. It is important here to note that the implementation of the 8 inches
of pure copper liner will decrease our photon background by at least an order of magnitude,
as evidenced by the previous year’s results. Also, increasing the detector’s volume urther
decrease the irreducible background in the center of the detector , as the background would
follow the same drop off trend displayed in all of the histograms.
III. NEUTRON BACKGROUND
Once again, lets not forget the concentration of this research: the analysis of the back-
ground eBubble is presented with, specifically to confirm that the neutron background that
burdens experiments probing WIMPS are not an issue for our low energy solar neutrino
detector.
The two sources of neutron background simulated, are both results of the radioactive
decay of isotope impurities in the stainless steel shield: alpha-neutron reactions and spon-
8
ZcutEntries 26190Mean 6.481RMS 2.707
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
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ZcutEntries 26190Mean 6.481RMS 2.707
Radii50Entries 9066Mean 2.855RMS 1.355
Radii50Entries 9066Mean 2.855RMS 1.355
Radii with Z cut
FIG. 5: One million photon N-tuple, with the fiducial volume cut that excludes interactions whose
Z component is not within the requirement: −391mm < Z < 580mm.
ZcutEntries 10023Mean 6.386RMS 2.769
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
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0.05
0.1
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0.4
0.45 ZcutEntries 10023Mean 6.386RMS 2.769
Radii50Entries 5258Mean 3.051RMS 1.28
Radii50Entries 5258Mean 3.051RMS 1.28
Radii with Z and energy cuts
FIG. 6: The same N-tuple with one million photon events, with the energy cut that excludes
interactions with a kinetic energy of over 250keV and the fiducial cut that excludes any interactions
whose z position in the detector is outside of the fiducial volume, whose measurements can be seen
in the the schematic in Figure 2.
taneous fission.
While the alpha particles that are emitted during radioactive decay chains are not them-
selves an issue, due to their weak penetration strength, the alpha particles DO collide with
other components of the stainless steel, and are thus a catalyst for atoms emitting neutrons.
These neutrons, being neutral, and having a much smaller mass than the alpha particles
themselves, are more than capable of penetrating into our target neon fluid, and interacting
with an electron just as a neutrino would...thus producing a potentially indistinguishable
background from our signal.
Another source of neutron background is the spontaneous fission of radioactive isotopes.
9
Spontaneous fission follows the exact same process as nuclear fission, except that it occurs
without the atom having been struck by a neutron, or an alpha, or any other incident particle.
A radioactive nucleus disintegrates into two or more smaller nuclei and other particles, such
as neutrons that, again, can also interact with a target electron and produce a background
signal.
A. Neutron Simulation
The process of simulating the background produced by neutron interactions was a bit
more complicated than that of simulating photons. Rather than generating neutrons of
one energy, a more thorough analysis required an energy spectrum comparable to what we
believe will occur experimentally. Courtesy of the Xenon project collaboration, we were
provided with generated data from a SOURCES simulation, which produced several useful
neutron energy spectra. The data provided a probability of neutron flux (neutrons/second-
cm cubed), as a function of energy in MeV. Four separate data files were provided. Two of
the files contain spectral data for a stainless steel consisting of : C 0.15%, Cr 17%, Ni 12%,
Mn 29%, and Fe 68.85%. The other two files contain spectrail data for another stainless
steel: Fe54 88%, Co59 8%, and C54 4%. For each of these two types of stainless steel,
there are two seperate sets of spectral data. One file for each of the different stainless steel
components provides the data for a hypothetical impurity level of 10 ppb of thorium 232,
while the other provides data for uranium impurities of: 9.928 ppb U238 and 0.072 ppb
U235.
The event generator of the neutron simulation would sample the neutron flux from these
spectra in order to determine the probabilities of a neutron event with certain energies. A
first check of our simulation was simply confirming that the generated neutron spectrum
used as an input was within statistical fluctuations of the simulation’s output spectra.
IV. NEUTRON RESULTS
For the neutron background analysis 10,000 events were generated, and the same process
was followed as for the photons, with the exception of the defined weight for each of the four
neutron files. The weights can be seen in Table III.
10
neutronsEntries 101Mean 1.36RMS 0.8266
Energy (MeV)0 2 4 6 8 10
% N
eutr
on
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c-cm
*3
0
0.05
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0.2
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0.3
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neutronsEntries 101Mean 1.36RMS 0.8266
alpha neutrons in tape7ssu
FIG. 7: The sources simulation provided spectral data for alpha particles acting on separate
components of the stainless steel, as well as a total spectrum for all alpha-neutron reactions, which
is seen here.
neutronstotalEntries 101Mean 1.678RMS 1.188
Energy (MeV)0 2 4 6 8 10
% N
eutr
on
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*3
0
0.05
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neutronstotalEntries 101Mean 1.678RMS 1.188
total neutrons in tape7ssu
FIG. 8: The spontaneous fission neutron spectrum and the alpha-neutron spectrum combined to
create a total neutron spectrum.
neutronssfEntries 101Mean 1.789RMS 1.272
Energy (MeV)0 2 4 6 8 10
% N
eutr
on
s/se
c-cm
*3
0
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neutronssfEntries 101Mean 1.789RMS 1.272
spontaneous fission in tape7ssu
FIG. 9: The sources simulation also provided a total neutron energy spectrum for spontaneous
fission reactions.
11
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
0.05
0.1
0.15
0.2
0.25
0.3
0.35
inititial energy tape7u
FIG. 10: A simple check of the simulation is to make sure that the generator is correctly sam-
pling the input data to produce neutrons with initial energy within statistical errors of the input
spectrum.
TABLE II: The weight of each event was simply calculated by multiplying the total neutron flux
(neutrons/s-cm cubed) by the volume of the neon fluid (852,379.2 cm cubed) times the appropriate
time unit conversion, to give us a final unit of events/day/kg of Neon. Again, the units displayed
in the histograms are divided by the weight in kilograms of the individual radial slice in which the
interaction took place.
ss with isotope # of neutrons/day
ss th 11
ss u 87.5
tape7 u 107.5
tape7 th 36.1
The same basic code then sliced our cylindrical detector into 10 centimeter thick radial
slices out to 1 meter, just as before. The resulting histograms depict how many events
with only one interaction occur in each radial slice. Identical instrumentation, fiducial
volume, and energy cuts were implemented. Table II displays the final numbers: total
events with one interaction within 50 centimeters as well as out to the full meter of the
chamber for both the “Z-cut” as well as the energy cut. With this final energy cut, the
rate of neutron interactions that are indiscernible hovers below the expected neutrino signal
of approximately 0.001 interactions/day. The number of these neutron interactions will be
12
X0-1000 -500 0 500 1000
Y0
-1000
-500
0
500
1000
Y0:X0
FIG. 11: Events are randomly generated throughout the inner lining of the cylindrical vessel. This
plot shows the initial x and y positions of the events produced by the primary generator. The
events seen in the center of the image are those that are generated in the caps of the cylinder.
further attenuated by the pure copper lining, as well as the decrease in impurity levels, from
around 10 ppb to less than one ppb, for the stainless steel that will realistically be used to
construct our detector.
V. CONCLUSION AND FUTURE WORK
The results of this research have successfully confirmed the hypothesis that the neutron
background would prove to be an almost negilible source of background noise in the eBub-
ble noble fluid tracking detector. The improvements to follow will constitute a significant
decrease in the backgrounds documented here. Again, the realistic levels of impurity for
stainless steel will be at least an order of magnitude less. Also, the 8 inches of pure cop-
per that will be placed inside the cold vessel steel wall, will greatly reduce the background
coming from the SS impurities. However, the exact components and impurity levels of our
stainless steel, as well as the copper lining need to be accurately implemented in our simula-
13
TABLE III: Final results for the four neutron energy spectral data. The two cuts of interest include
an energy cut requiring interactions to have an energy of less than 250keV, and a fiducial volume
cut which put upper and lower bounds on the z component of the interaction. The numbers seen
are in number of events.
type of stainless steel no cuts (50cm/100cm) with z cut (50cm/100cm) with z and energy
and isotope impurity cuts (50cm/100cm)
tape7 th 256/1483 75/539 22/199
tape7 u 260/1487 72/546 28/175
ss th 329/1515 85/543 38/144
ssu u 296/1511 65/574 18/184
tion for more realistic results. Finally, as with all low energy detectors, potential scalability,
in essence an increased volume, is always considered an improvement. As the target fluid
itself serves as a shield to unwanted background interactions, the level of noise drops off
almost exponentially toward the center of the detector. Thus, the greater the volume, the
greater the sensitivity neutrino signal.
VI. SPECIAL THANKS
I would like to extend a gracious note of appreciation for the support and guidance I’ve
received over the course of the program from Dr. Raphael Galea and Professor Jeremy
Dodd. Also thanks to Nevis Labs and Columbia University, as well as John Parsons and
William Willis, responsible each in part for my participation this summer.
[1] J. Bahcall and C. Pena-Garay, New J. Phys. 6, 1 (2004).
[2] C. Kuper, Phys. Rev. 122, 1007 (1961).
[3] J. Adams, Y. Huang, Y. Kim, R. Lanou, H. Maris, and G. Seidel, in Low energy solar neutrino
detection (World Scientific Publishing, 2001), p. 70.
[4] http://hepwww.rl.ac.uk/ukdmc/Radioactivity/Th chain/Th chain.html
14
MaterialEntries 4914861Mean 3.183RMS 0.9953
-1 0 1 2 3 4 5 60
500
1000
1500
2000
2500
3000
310×Material
Entries 4914861Mean 3.183RMS 0.9953
Material of all events
FIG. 12: The material in which each interaction took place: 0=initialized state, 1=air, 2=gas,
3=CuBe Wall (not implemented), 4=SS Wall, 5=Cu Liner (also not implemented).
ScatterEntries 4914861Mean 1.402RMS 0.9328
0 2 4 6 8 10 12 140
500
1000
1500
2000
2500
3000
3500
4000
310×Scatter
Entries 4914861Mean 1.402RMS 0.9328
Type of scatter for all events
FIG. 13: This histogram designates what type of scatter each interactioni was. 0=initialized
state,1=Compton,2=other Geant ionization, 3=photoelectric effect, 4=Rayleigh,5=Conversion.
VII. APPENDIX
A. Photon histograms
B. Neutron Histograms
15
hitsEntries 1000000Mean 4.915RMS 4.516
0 10 20 30 40 50 60 700
20
40
60
80
100
120
140
160
180
310×hits
Entries 1000000Mean 4.915RMS 4.516
Number of Hits in Event
FIG. 14: Number of interactions in each event.
gashitsEntries 1000000Mean 1.948RMS 4.055
0 5 10 15 20 25 30 35 40 45 500
100
200
300
400
500
600
700
310×gashits
Entries 1000000Mean 1.948RMS 4.055
Number of Hits in Gas
FIG. 15: Number of interactions for each event in the gas.
16
EnergyTotalGasEntries 1000000Mean 0.4038RMS 0.6918
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
100
200
300
400
500
600
310×EnergyTotalGasEntries 1000000Mean 0.4038RMS 0.6918
Energy Deposited in Gas per event
FIG. 16: The amount of energy deposited in the target Neon per event.
Radii100Entries 1487Mean 6.695RMS 2.605
Radii (10cm)0 1 2 3 4 5 6 7 8 9 10
# E
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Radii100Entries 1487Mean 6.695RMS 2.605
Radii50Entries 260Mean 2.59RMS 1.351
Radii50Entries 260Mean 2.59RMS 1.351
Radii
FIG. 17: tape7 U
17
ZcutEntries 546Mean 6.895RMS 2.667
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
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ZcutEntries 546Mean 6.895RMS 2.667
Radii50Entries 72Mean 2.182RMS 1.548
Radii50Entries 72Mean 2.182RMS 1.548
Radii with Z cut
FIG. 18: tape7 U
ZcutEntries 175Mean 7.075RMS 2.821
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
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0
0.0005
0.001
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0.0025
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0.0035
0.004
ZcutEntries 175Mean 7.075RMS 2.821
Radii50Entries 28Mean 2.178RMS 1.563
Radii50Entries 28Mean 2.178RMS 1.563
Radii with Z cut and energy cut
FIG. 19: tape7 U
18
MaterialEntries 28904Mean 3.108RMS 1.036
-1 0 1 2 3 4 5 60
2000
4000
6000
8000
10000
12000
14000
16000
MaterialEntries 28904Mean 3.108RMS 1.036
Material of all events
FIG. 20: tape7 U
ScatterEntries 28904Mean 10.83RMS 0.4622
0 2 4 6 8 10 12 140
5000
10000
15000
20000
25000
ScatterEntries 28904Mean 10.83RMS 0.4622
Type of scatter for all events
FIG. 21: tape7 U
19
ScatterEntries 11668Mean 10.76RMS 0.4624
0 2 4 6 8 10 12 140
1000
2000
3000
4000
5000
6000
7000
8000
9000
ScatterEntries 11668Mean 10.76RMS 0.4624
Type of scatter in gas
FIG. 22: tape7 U
hitsEntries 10000Mean 2.89RMS 3.666
0 10 20 30 40 50 60 700
500
1000
1500
2000
2500
hitsEntries 10000Mean 2.89RMS 3.666
Number of Hits in Event
FIG. 23: tape7 U
20
gashitsEntries 10000Mean 1.162RMS 2.527
0 5 10 15 20 25 30 35 40 45 500
1000
2000
3000
4000
5000
6000
gashitsEntries 10000Mean 1.162RMS 2.527
Number of Hits in Gas
FIG. 24: tape7 U
21
EnergyTotalGasEntries 10000Mean 0.3188RMS 0.7973
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
1000
2000
3000
4000
5000
6000
7000
EnergyTotalGasEntries 10000Mean 0.3188RMS 0.7973
Energy Deposited in Gas per event
FIG. 25: tape7 U
Radii100Entries 1483Mean 6.764RMS 2.614
Radii (10cm)0 1 2 3 4 5 6 7 8 9 10
# E
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0.0005
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Radii100Entries 1483Mean 6.764RMS 2.614
Radii50Entries 256Mean 2.709RMS 1.32
Radii50Entries 256Mean 2.709RMS 1.32
Radii
FIG. 26: tape7 th
22
ZcutEntries 539Mean 7.17RMS 2.428
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
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0.0005
0.001
0.0015
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0.0035
ZcutEntries 539Mean 7.17RMS 2.428
Radii50Entries 75Mean 2.731RMS 1.355
Radii50Entries 75Mean 2.731RMS 1.355
Radii with Z cut
FIG. 27: tape7 th
ZcutEntries 199Mean 7.92RMS 1.744
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
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0.0002
0.0004
0.0006
0.0008
0.001
0.0012
0.0014
0.0016
ZcutEntries 199Mean 7.92RMS 1.744
Radii50Entries 22Mean 3.094RMS 1.087
Radii50Entries 22Mean 3.094RMS 1.087
Radii with Z cut and energy
FIG. 28: tape7 th
23
MaterialEntries 28866Mean 3.104RMS 1.039
-1 0 1 2 3 4 5 60
2000
4000
6000
8000
10000
12000
14000
16000
MaterialEntries 28866Mean 3.104RMS 1.039
Material of all events
FIG. 29: tape7 th
24
ScatterEntries 28866Mean 10.83RMS 0.4643
0 2 4 6 8 10 12 140
5000
10000
15000
20000
25000
ScatterEntries 28866Mean 10.83RMS 0.4643
Type of scatter for all events
FIG. 30: tape7 th
ScatterEntries 11642Mean 10.76RMS 0.4501
0 2 4 6 8 10 12 140
1000
2000
3000
4000
5000
6000
7000
8000
9000
ScatterEntries 11642Mean 10.76RMS 0.4501
Type of scatter in gas
FIG. 31: tape7 th
25
hitsEntries 10000Mean 2.887RMS 3.577
0 10 20 30 40 50 60 700
500
1000
1500
2000
2500
hitsEntries 10000Mean 2.887RMS 3.577
Number of Hits in Event
FIG. 32: tape7 th
gashitsEntries 10000Mean 1.164RMS 2.471
0 5 10 15 20 25 30 35 40 45 500
1000
2000
3000
4000
5000
6000
gashitsEntries 10000Mean 1.164RMS 2.471
Number of Hits in Gas
FIG. 33: tape7 th
26
EnergyTotalGasEntries 10000Mean 0.3109RMS 0.7161
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
1000
2000
3000
4000
5000
6000
7000
EnergyTotalGasEntries 10000Mean 0.3109RMS 0.7161
Energy Deposited in Gas per event
FIG. 34: tape7 th
27
Radii100Entries 1515Mean 5.975RMS 3.007
Radii (10cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t0.0002
0.0004
0.0006
0.0008
0.001 Radii100Entries 1515Mean 5.975RMS 3.007
Radii50Entries 329Mean 2.295RMS 1.46
Radii50Entries 329Mean 2.295RMS 1.46
Radii
FIG. 35: ss th
ZcutEntries 543Mean 7.025RMS 2.25
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
-310×
ZcutEntries 543Mean 7.025RMS 2.25
Radii50Entries 85Mean 2.818RMS 1.036
Radii50Entries 85Mean 2.818RMS 1.036
Radii with Z cut
FIG. 36: ss th
28
ZcutEntries 144Mean 7.707RMS 1.899
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
-310×Zcut
Entries 144Mean 7.707RMS 1.899
Radii50Entries 28Mean 3.076RMS 0.7659
Radii50Entries 28Mean 3.076RMS 0.7659
Radii with Z cut and energy
FIG. 37: ss th
MaterialEntries 23889Mean 3.164RMS 1.029
-1 0 1 2 3 4 5 60
2000
4000
6000
8000
10000
12000
14000
MaterialEntries 23889Mean 3.164RMS 1.029
Material of all events
FIG. 38: ss th
29
ScatterEntries 23889Mean 10.77RMS 0.4806
0 2 4 6 8 10 12 140
2000
4000
6000
8000
10000
12000
14000
16000
18000
ScatterEntries 23889Mean 10.77RMS 0.4806
Type of scatter for all events
FIG. 39: ss th
ScatterEntries 8966Mean 10.71RMS 0.4683
0 2 4 6 8 10 12 140
1000
2000
3000
4000
5000
6000
ScatterEntries 8966Mean 10.71RMS 0.4683
Type of scatter in gas
FIG. 40: ss th
30
hitsEntries 10000Mean 2.389RMS 2.817
0 10 20 30 40 50 60 700
500
1000
1500
2000
2500
3000
hitsEntries 10000Mean 2.389RMS 2.817
Number of Hits in Event
FIG. 41: ss th
gashitsEntries 10000Mean 0.8966RMS 1.996
0 5 10 15 20 25 30 35 40 45 500
1000
2000
3000
4000
5000
6000
gashitsEntries 10000Mean 0.8966RMS 1.996
Number of Hits in Gas
FIG. 42: ss th
31
EnergyTotalGasEntries 10000Mean 0.4923RMS 0.9613
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
1000
2000
3000
4000
5000
6000
EnergyTotalGasEntries 10000Mean 0.4923RMS 0.9613
Energy Deposited in Gas per event
FIG. 43: ss th
Radii100Entries 1511Mean 6.264RMS 2.865
Radii (10cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t
0.001
0.002
0.003
0.004
0.005
0.006
0.007
0.008
0.009Radii100
Entries 1511Mean 6.264RMS 2.865
Radii50Entries 296Mean 2.478RMS 1.478
Radii50Entries 296Mean 2.478RMS 1.478
Radii
FIG. 44: ss u
32
ZcutEntries 574Mean 7.428RMS 1.877
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t0
0.001
0.002
0.003
0.004
0.005
0.006
0.007
0.008 ZcutEntries 574Mean 7.428RMS 1.877
Radii50Entries 65Mean 2.89RMS 1.124
Radii50Entries 65Mean 2.89RMS 1.124
Radii with Z cut
FIG. 45: ss u
ZcutEntries 184Mean 8.202RMS 1.285
Radii (10 cm)0 1 2 3 4 5 6 7 8 9 10
# E
ven
ts/d
ay/k
g w
/ on
e co
un
t
0
0.0005
0.001
0.0015
0.002
0.0025
0.003
0.0035
0.004
ZcutEntries 184Mean 8.202RMS 1.285
Radii50Entries 18Mean 3.071RMS 1.179
Radii50Entries 18Mean 3.071RMS 1.179
Radii with Z and energy cut
FIG. 46: ss u
33
MaterialEntries 28254Mean 3.095RMS 1.043
-1 0 1 2 3 4 5 60
2000
4000
6000
8000
10000
12000
14000
16000
MaterialEntries 28254Mean 3.095RMS 1.043
Material of all events
FIG. 47: ss u
ScatterEntries 28254Mean 10.82RMS 0.5288
0 2 4 6 8 10 12 140
2000
4000
6000
8000
10000
12000
14000
16000
18000
20000
22000
24000
ScatterEntries 28254Mean 10.82RMS 0.5288
Type of scatter for all events
FIG. 48: ss u
34
ScatterEntries 11432Mean 10.75RMS 0.5281
0 2 4 6 8 10 12 140
1000
2000
3000
4000
5000
6000
7000
8000
9000
ScatterEntries 11432Mean 10.75RMS 0.5281
Type of scatter in gas
FIG. 49: ss u
hitsEntries 10000Mean 2.825RMS 3.514
0 10 20 30 40 50 60 700
500
1000
1500
2000
2500
hitsEntries 10000Mean 2.825RMS 3.514
Number of Hits in Event
FIG. 50: ss u
35
gashitsEntries 10000Mean 1.138RMS 2.377
0 5 10 15 20 25 30 35 40 45 500
1000
2000
3000
4000
5000
6000
gashitsEntries 10000Mean 1.138RMS 2.377
Number of Hits in Gas
FIG. 51: ss u
EnergyTotalGasEntries 10000Mean 0.3842RMS 0.9523
Energy (MeV)0 1 2 3 4 5 6 7 8 9 100
1000
2000
3000
4000
5000
6000
7000
EnergyTotalGasEntries 10000Mean 0.3842RMS 0.9523
Energy Deposited in Gas per event
FIG. 52: ss u
36