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Geology from Geo-neutrino Flux Measurements
Eugene Guillian / Queen’s University
DOANOW
March 24, 2007
Content of This Presentation• KamLAND: The Pioneering Geo-neutrino Detector
– Proved that geo-neutrinos can be detected, but under very unfavorable conditions
• How to proceed in the next generation– 10 KamLAND (size time)– Low background– Simple neighboring geology– Multiple sites
• How to extract geological information from flux measurements– 1 site– 2 sites
• Statistical sensitivity• Effect of nuclear reactor background• Possible applications
Geo-neutrinos• Produced in the radioactive decay of unstable isotopes
IsotopeHalf Life
(billion years)238U 4.47
232Th 14.140K 1.25
• The flux of geo-neutrinos depends on:– Total mass of these isotopes in the earth– The distribution of the isotopes in the earth
Total Isotopic Mass in the Earth• An educated guess:
– CI carbonaceous chondrite meteorite• Representative of the raw material from which the earth was formed
• Based on the isotopic abundances in this type of meteorite, estimate the initial elemental abundance
• Evolution of the early earth– Core separation
– Bulk Silicate Earth (BSE)
– Crust extraction from BSE
ElementConcentration in Primitive Mantle
Uranium 20.3 ppb
Thorium 79.5 ppb
Potassium 240 ppm
IsotopePercent of
Natural Element
238U 99.3%
232Th 100%
40K 0.012%
Crust Extraction from the Mantle• Uranium, thorium, and potassium are all lithophile
elements– They have a strong tendency to leave the mantle and stay in the
crust
• A good starting guess about isotope concentrations:
Isotopic Abundance in Different Earth Structures
238U 232Th 40K
Crust ppm ppm ppm
Mantle ppb ~10 ppb ~10 ppb
Core ~0 ~0 ~0?
More Detailed Earth Models
• Examples:– Mantovani et al., Phys. Rev. D 69, 013001 (2004)
– S. Enomoto, Ph. D. Thesis, Tohoku University (2005)
– Turcotte et al., J. Geophys. Res. 106, 4265-4276 (2001)
The Mantovani et al. Reference Model
LayerIsotopic Concentration (ppb)
238U 232Th 40K
Ocean 3.2 0 48
Sediments 1700 6900 2000
Oceanic Crust 100 220 150
Contiental Crust
Upper 2500 9800 3100
Middle 1600 6100 2000
Lower 620 3700 860
MantleUpper 7 17 9
Lower 13 52 19
Core 0 0 0
• Note: These are just educated guesses• There is considerable spread in what could “reasonably” be assigned to these values
S. Enomoto Reference Model
LayerIsotopic Concentration (ppb)
238U 232Th
SedimentsContinental 2800 11000
Oceanic 1700 7000
Oceanic Crust 100 220
Contiental Crust
Upper 2800 11000
Middle 1600 6100
Lower 200 1200
MantleUpper 12 48
Lower 12 48
CoreOuter 0 0
Inner 0 0
Turcotte et al. ModelsModel I (Ur = 0.7)
Layer
Isotope Concentration
(ppb)
238U 232Th
Continental Crust
980 6700
Upper Mantle
22 56
Lower Mantle
34 140
Model II (Ur = 0.5)
Layer
Isotope Concentration
(ppb)
238U 232Th
Continental Crust
1200 6200
Upper Mantle
13 32
Lower Mantle
26 110
• These models argue for significant level of selective erosion of crustal uranium, and subsequent recycling into the upper mantle.
• Mantle convection boundary is deeper than the 660 km seismic discontinuity (1200 ± 200) km
The Overall Picture of Geo-neutrinos
• The models differ in:– The number of geological subdivision
– The assignment of isotopic concentrations in each subdivision
• But, at the very basic level, similar (i.e. within a factor of several) geo-neutrino fluxes are predicted– The flux at the surface of the earth is ~106 cm-2 s-1
– The flux varies by a factor of several depending on the location
A Neutrino Flux Map: Example
G. Fiorentini, M. Lissia, F. Mantovani, and R. Vannucci, hep-ph/0401085
• The color scale is Y = yield (number of detected events per unit of exposure)
€
Y (1032 p - yr) = 13.2 ⋅ΦU(106cm-2 s-1) + 4.0 ⋅ΦTh (106cm-2 s-1)
A Note on Units: The Scale of Things
• Geo-neutrino flux units– Several 106 cm-2 s-1
• Geo-neutrino detection rate (yield)– 1032 p-yr– The number of geo-neutrino events that can be detected
with 1032 free protons exposed for 1 year– For a typical target, 1032 free protons is about 1000
tonne– The volume is about the size of a large room
Several million geo-neutrinos stream through
a penny every second
Detecting Geo-neutrinos with a Liquid Scintillator Detector
• Inverse Beta Decay
€
ν e + p → n + e+
Anti-neutrino Free Proton Neutron Positron
• 1.8 MeV energy threshold
Mn - Mp = 1.3 MeV
M(e+) = 0.5 MeV1.8 MeV
e+ kinetic energyEν - 1.8 MeV
M(e+) = 0.5 MeV
e+ kinetic energy
M(e-) = 0.5 MeV1.0 MeV from e+-e-
annhilation
Eν - 1.8 MeV
Energy Input Deposited Energy
Prompt energy deposition Eν - 0.8 MeV
Detecting Geo-neutrinos
• Delayed energy deposition– Neutron thermalization & capture on free
proton– ~200 micro-second– 2.2 MeV gamma rays
• Prompt-delayed correlation– Reduces background noise to a very low level
Prompt
Delayed
1.8 MeV Energy Threshold
Nature 436, 499-503 (28 July 2005)
• Only the highest-energy anti-neutrinos from 238U and 232Th are detectable
• 40K is not detectable with this technology
Inverse Beta Decay Cross Section
• Cross section – The effective cross sectional area of a free proton from the point of view
of a geo-neutrino
– ~10-43 cm2
• Geo-neutrino flux:– ~106 cm-2 s-1 = ~1013 cm-2 yr-1
• Probability that a particular free proton will be hit by a geo-neutrino in one year:
~10-43 cm2 ~1013 cm-2 yr-1 = ~10-30 per year
• This determines the necessary target size• A detector with 1032 free protons should see ~1032 10-30 = ~100 events
Extremely small!
€
Y (1032 p - yr) = 13.2 ⋅ΦU(cm-2 s-1) + 4.0 ⋅ΦTh (cm-2 s-1)
The Fine Print
• Detection efficiency ≈ 70%
• Neutrino oscillation– When geo-neutrinos travel more than ~50 km,
it becomes a mixture of undetectable types of anti-neutrinos
– This effect reduces the detectable flux by about a factor of 0.57
Extracting Geological Information from a Geo-neutrino Flux Measurement
• Example: Flux at Sudbury
• Assumes the S. Enomoto reference model, which determines:– The total flux at Sudbury
– The relative contributions from 238U and 232Th
Region 1
€
Eν ∈ 1.8, 2.3[ ] MeV
Region 2
€
Eν ∈ 2.3, 3.3[ ] MeV
• Region 1:– N1 = NTh + 0.459·NU
• Region 2:– N2 = 0.541·NU
0.541·NU
0.459·NU
NTh
Extracting Geological Information from a Geo-neutrino Flux Measurement
• N1 and N2 are the measured quantities
• NU and NTh are quantities that carry geological information
€
NU =N2
0.541
€
NTh = N1 − 0.848 ⋅N2
€
13.2 ⋅εdet ⋅ posc ⋅ΦU (Sudbury)
€
4.0 ⋅εdet ⋅ posc ⋅ΦTh (Sudbury)
It is possible to separately measure the uranium and thorium flux
Upper Limit on the Sensitivity
• The statistical error sets the upper limit on the sensitivity to the geo-neutrino flux measurement
€
δΦU
ΦU
=1
N2
€
δΦTh
ΦTh
=N1 + 0.719 ⋅N2
N1 − 0.848 ⋅N2
Location Long. (E) Lat. (N)Baksan 42.7 43.3Hawaii -156.22 19.64Himalaya 86.93 27.98Homestake -103.6 44.5Kamioka 137.31 36.42La Palma -17.88 28.75Gran Sasso 13.57 42.45Pysahalmi 26.04 63.66Sudbury -81.14 46.45Yucca Mt. -116.46 36.85Uruguay -52 -36Pylos 22 37Cent. Aust. 133.88 -23.7Henderson -105.68 39.76Mid-Atlantic -47 15.3333
dPhi_U/Phi_UdPhi_Th/Phi_Th8.4% 24.9%
16.9% 53.0%7.7% 22.5%8.2% 24.2%
10.5% 31.2%14.5% 44.3%
9.9% 29.4%8.4% 24.5%8.2% 24.1%9.3% 27.3%
13.9% 42.4%12.2% 36.6%
8.7% 25.7%8.1% 24.2%
15.6% 48.1%
Mantovani et al. Ref. Model, 1033 p-yr
€
1033p ⋅yr
Exposure
The sensitivity scales with exposure as:
What Does the Flux Tell Us about the Earth?
€
ΦX (v r 0) =
AX ⋅NX
2R⊕
⎛
⎝ ⎜
⎞
⎠ ⎟R⊕
2πdV
aX (v r ) ⋅ρ(
v r )
v r −
v r 0
2⊕
∫
X U or Th
ΦX(r0) Flux of anti-neutrinos from X at detector position r0
AX Frequency of radioactive decay of X per unit mass
NX Number of anti-neutrinos produced per decay of X
R Earth radius
aX(r) Concentration of X at position r
(r) Density of earth at position r
Analyzing the Flux Formula
€
ΦX (v r 0) =
AX ⋅NX
2R⊕
⎛
⎝ ⎜
⎞
⎠ ⎟R⊕
2πdV
aX (v r ) ⋅ρ(
v r )
v r −
v r 0
2⊕
∫
Constant (accurately known)Relatively well-determined
through seismic tomography
Earth models (not well known)
The goal of neutrino geology is to learn about aX(r) from measurements of ΦX(r)
What Can We Learn about Isotope Concentrations from a 1-site Measurement?
• We can get the isotope concentration averaged over the entire earth
€
ΦX (v r 0) = CX ⋅a X ⋅ I(
v r 0)
€
CX =AX ⋅NX
2R⊕
⎛
⎝ ⎜
⎞
⎠ ⎟
€
I(v r 0) =
R⊕
2πdV
ρ (v r )
v r −
v r 0
2⊕
∫
• But the information about the isotope distribution in the earth and the total amount of isotopes is poorly determined
– One can distribute X between the mantle and crust to produce the same answer
– The constraint on models is weak
Neutrino Geology in the Near Future
• KamLAND was the pioneering neutrino geology detector
Characteristics of KamLAND as a Geo-neutrino Detector
Exposure ~1032 p-yr
Number of Sites 1
Local geology Complicated
Background noise Intense
Goals for the Coming Generation
Characteristics of the Next-generation Geo-neutrino Detectors
Exposure >1033 p-yr
Number of Sites ≥ 2
Local geology Simple
Background noise Low
A 2-site Geo-neutrino Measurement: An Example
• Two measurements– Can solve for two unknowns
• The continental crust and mantle account for most of the observed geo-neutrinos, regardless of the detector location
– The two unknowns:1. Average isotope concentration in the continental crust2. Average isotope concentration in the mantle
– The small contribution from other geological subdivisions is approximated as being zero
An Example of a 2-Site Measurement
• The mantle contribution is the same at both sites– Assume that the mantle is
spherically symmetric
• A large contrast in the continental crustal component exists
• The contribution from other geological structures is negligible
€
ΦX (Sudbury) = CX aX (CC) ⋅ ICCSudbury + aX (M) ⋅ IM[ ]
€
ΦX (Hawaii) = CX aX (CC) ⋅ ICCHawaii + aX (M) ⋅ IM[ ]
Flux vs. Concentration Equations
€
ΦX(Sudbury)=CXaX(CC)⋅ICCSudbury
+aX(M)⋅IM []
€
ΦX(Hawaii)=CXaX(CC)⋅ICCHawaii
+aX(M)⋅IM []
Constant Factors (g-1 s-1 cm-1)
CU 5.85 10-5
CTh 1.27 10-5
Geologic Integral (g/cm)
Integrated over….
Evaluated at…
ICCSudbury
Continental Crust
Sudbury
ICCHawaii Hawaii
IM MantleCommon to all surface locations
Measured Quantities
ΦX(Sudbury) Flux evaluated at Sudbury
ΦX(Hawaii) Same as above, Hawaii
Unknown Quantities
X(CC)Average concentration
of isotope X in the continental crust
X(M) Same as above, mantle
Geologic Integrals
€
IS (v r 0) =
R⊕
2πdV
ρ (v r )
v r −
v r 0
2S
∫ Unit: g/cm
Location Long. (E) Lat. (N)Baksan 42.7 43.3Hawaii -156.22 19.64Himalaya 86.93 27.98Homestake -103.6 44.5Kamioka 137.31 36.42La Palma -17.88 28.75Gran Sasso 13.57 42.45Pysahalmi 26.04 63.66Sudbury -81.14 46.45Yucca Mt. -116.46 36.85Uruguay -52 -36Pylos 22 37Cent. Aust. 133.88 -23.7Henderson -105.68 39.76Mid-Atlantic -47 15.3333
Continental Crust ( 1016 g/cm)
3.820.315.014.072.240.782.654.114.193.140.931.533.664.030.53
Mantle 148
€
ICC (v r 0)
€
IM
Solving for the Concentrations
€
ΦX (Sudbury)
ΦX (Hawaii)
⎛
⎝ ⎜
⎞
⎠ ⎟= CX
ICCSudbury IM
ICCHawaii IM
⎛
⎝ ⎜
⎞
⎠ ⎟aX (CC)
aX (M)
⎛
⎝ ⎜
⎞
⎠ ⎟
€
4.19 148
0.31 148
⎛
⎝ ⎜
⎞
⎠ ⎟
€
5.20 ×106
1.23×106
⎛
⎝ ⎜
⎞
⎠ ⎟
Uranium Flux
22 Matrix Equation
€
aX (CC)
aX (M)
⎛
⎝ ⎜
⎞
⎠ ⎟=
1
CX ⋅ IM ⋅ ICCSudbury − ICC
Hawaii[ ]
IM −IM
−ICCHawaii ICC
Sudbury
⎛
⎝ ⎜
⎞
⎠ ⎟ΦX (Sudbury)
ΦX (Hawaii)
⎛
⎝ ⎜
⎞
⎠ ⎟
Solution of the unknown quantities in terms of the measured ones
Geologic Integral Matrix
1016
Statistical Sensitivity of 2-Site Measurements
• Exposure = 1033 p-yr
• Model = Mantovani et al. Reference
• Oceanic site = Hawaii
• Vary the “continental” sites
Upper CC Input
Middle CC Input
Lower CC Input
Statistical Uncertainty ≈ 12%
Lower Mantle Input
Upper Mantle Input
Statistical Uncertainty ≈ 24%
Concentration / 238U / Continental Crust Concentration / 238U / Mantle
Statistical Sensitivity for Th ConcentrationsConcentration / 232Th / Continental Crust Concentration / 232Th / Mantle
Upper CC Input
Middle CC Input
Lower CC Input
Lower Mantle Input
Upper Mantle Input
Statistical Uncertainty ≈ 34% Statistical Uncertainty ≈ 77%
Radiogenic Heat Measurement• The radiogenic heat is derived from the concentrations
€
Q(CC) = aU (CC) ⋅HU + aTh (CC) ⋅ HTh + 2500 ⋅HK( )[ ] ⋅M(CC)
€
Q(M) = aU (M) ⋅HU + aTh (M) ⋅ HTh + 2500 ⋅HK( )[ ] ⋅M(M)
Heat from continental crust
Heat from mantle40K term
aU(CC), aU(M), aTh(CC), aTh(M) Measured isotope concentrations, continental crust & mantle
Heat per Unit Isotope Mass (W/kg)
HU 9.71 10-5
HTh 2.69 10-5
HK 3.58 10-9
Mass (kg)
M(CC)Continental
Crust2.2 1022
M(M) Mantle 4.06 1024
Heat Measurements
≈18%≈19%
≈36%
≈16%
≈25%
≈24%
≈15%
≈23%
≈28%
≈16%
Mantovani Enomoto Turcotte I Turcotte II
Continental Crust
Mantle
Total
≈40%
≈17%
Dashed blue line: Estimated 40K contribution
Background Noise• KamLAND from several years ago tells us a lot about
background noiseNature 436, 499-503 (28 July 2005) • Internal background
– 13C(,n)16O (radon gas contamination)
• External background– Anti-neutrinos from nuclear
reactors
Nuclear Reactor13C(,n)16O
N = 152
Number of Events
Total 152
Geo-neutrino 25+19-18
Background 127 ± 13
Background Noise
Nuclear Reactor 80.4 ± 7.2
13C(,n)16O 42 ± 11
Internal Background• A lot of R & D by the KamLAND team and others have
taken place since the first geo-neutrino measurement
• Make use of the R & D results, and learn from experience:– Make sure the liquid scintillator and other internal detector
components have minimal exposure to radon gas
– Use newly developed purification techniques to remove 210Pb (radioactive lead) from the liquid scintillator
Assume that the internal background can be reduced to a negligible level
Reactor Anti-neutrino Background
• The only way to minimize this is to place the detector as far as possible from nuclear reactors
Map of heat production by world-wide nuclear reactors
≈ 478 nuclear reactors world-wide
Total generated heat ≈ 1.1 TWt
~30 to 40 TWt total heat
~20 to 30 TWt radiogenic heat
Reactor Anti-neutrino Background RateLog-scale background rate (arbitrary units)
Location Long. (E) Lat. (N)Baksan 42.7 43.3Hawaii -156.22 19.64Himalaya 86.93 27.98Homestake -103.6 44.5Kamioka 137.31 36.42La Palma -17.88 28.75Gran Sasso 13.57 42.45Pysahalmi 26.04 63.66Sudbury -81.14 46.45Yucca Mt. -116.46 36.85Uruguay -52 -36Pylos 22 37Cent. Aust. 133.88 -23.7Henderson -105.68 39.76Mid-Atlantic -47 15.3333
E in [1.8,2.3] E in [2.3,3.3] Total11.0 66.5 77.5
1.0 6.0 7.12.1 12.5 14.77.2 42.7 50.0
132.1 1106.4 1238.53.8 22.3 26.1
26.4 152.9 179.319.7 117.4 137.134.2 202.8 237.0
9.4 58.4 67.71.2 7.3 8.5
10.1 59.5 69.60.7 4.1 4.86.9 41.7 48.71.9 11.4 13.3
• Exposure = 1033 p-yr• Detection Efficciency = 0.70• Reactor Duty Cycle = 0.80
Subtracting the Reactor Background
Eν - 0.8 MeV
Reg
ion
1
Reg
ion
2
Region 3
Region 1 Region 2 Region 3
N1 = NTh + (1-f)·NU + r1·R N2 = f·NU + r2·R N3 = R
f = 0.541 r1 = 0.0514 r2 = 0.303
Sensitivity with Reactor Background
€
δΦU
ΦU
=1
N2
€
δΦTh
ΦTh
=N1 + 0.719 ⋅N2
N1 − 0.848 ⋅N2
€
δΦU
ΦU
=N2 + 0.092 ⋅R
N2 − 0.303⋅R
€
δΦTh
ΦTh
=N1 + 0.719 ⋅N2 + 0.042 ⋅R
N1 − 0.848 ⋅N2 + 0.206 ⋅R
Sensitivity with and without Reactor Background
Location Long. (E) Lat. (N)Baksan 42.7 43.3Hawaii -156.22 19.64Himalaya 86.93 27.98Homestake -103.6 44.5Kamioka 137.31 36.42La Palma -17.88 28.75Gran Sasso 13.57 42.45Pysahalmi 26.04 63.66Sudbury -81.14 46.45Yucca Mt. -116.46 36.85Uruguay -52 -36Pylos 22 37Cent. Aust. 133.88 -23.7Henderson -105.68 39.76Mid-Atlantic -47 15.3333
dPhi_U/Phi_UdPhi_Th/Phi_Th8.4% 24.9%
16.9% 53.0%7.7% 22.5%8.2% 24.2%
10.5% 31.2%14.5% 44.3%
9.9% 29.4%8.4% 24.5%8.2% 24.1%9.3% 27.3%
13.9% 42.4%12.2% 36.6%
8.7% 25.7%8.1% 24.2%
15.6% 48.1%
dPhi_U/Phi_UdPhi_Th/Phi_Th10.7% 27.7%18.7% 55.3%
8.0% 22.9%9.6% 25.9%
44.0% 83.4%18.4% 49.4%17.1% 39.0%12.0% 29.2%13.6% 31.3%12.0% 30.6%15.1% 44.0%17.8% 44.0%
8.9% 25.9%9.5% 25.8%
18.2% 51.4%
Example: Mantovani et al. Ref. Model
No Reactor With Reactor
Change in Sensitivity: Heat
• Red Points: No Reactor• Blue Points: With Reactor
• Vertical Axis: Sensitivity (%)• Horizontal Axis: Location
Testing Geological Models
• Examples of what kind of sensitivity the next-generation geo-neutrino measurements might have to geological models
1. Distinguishing the Turcotte et al. models from the “Reference” models
2. What can we say about the Th/U ratio?
3. How well can we constrain radiogenic heat?
The Turcotte et al. Models• = Th/U concentration ratio
– BSE: = 4
– Continental Crust: = 5-6
– Upper Mantle: = 2.5
– Lower Mantle: = 4
• Mass balance of 238U between CC and UM
• for CC and UM combined must be 4
Oxidized atmosphere (2 Ga) made U soluble in H2O, but not Th. U gets recycled into the upper mantle. Mantle convection occurs only in UM. Mass of UM ≈ 0.5 times total mantle mass.
Primitive value
Model I (Ur = 0.7)
Layer
Isotope Concentration (ppb)
238U 232Th
Continental Crust 980 6700
Upper Mantle 22 56
Lower Mantle 34 140
Model II (Ur = 0.5)
Layer
Isotope Concentration (ppb)
238U 232Th
Continental Crust 1200 6200
Upper Mantle 13 32
Lower Mantle 26 110
Concentration Measurements for Different Models
• 2 sites = Hawaii & Sudbury
• 1033 p-yr
238U/CC 238U/Mantle
232Th/CC 232Th/Mantle
We can distinguish the mantle concentration of 238U of Turcotte I from those of “Reference”
models
Conclusions• Next generation geo-neutrino experiments:
– Exposure > 1033 p-yr– 2 sites: continental & oceanic location– Low background
• We can begin to distinguish models– Separate information about continental crust & mantle– 238U concentration in the mantle
• Can separate reference models from Turcotte model I at 4-5 sigma level
– Radiogenic heat• 15-20% uncertainty in total radiogenic heat• But extra uncertainty due to unknown 40K heat