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Detection Methods in Particle Astrophysics
Erik Strahler13/05/11
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Outline
• Reminder of Energy Loss Mechanisms• General Detection Methods• Applications in Current Experiments• Dark Matter Detection Methods
– Accelerators– Direct Searches– Indirect Searches
• Exercises – due May 25th
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Energy Loss Mechanisms and General Detector Methods
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Radiation Energy Loss
• Photoelectric effect
3
5
EZCPE ⋅≈σ
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Radiation Energy Loss
• Compton Scattering
KNC Z σσ ⋅≈
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Radiation Energy Loss
• Pair Production
)ln(2 EZCPP ⋅⋅≈σ
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Total Contribution
NaI Z Lead
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Regions of Dominance
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Charged Particle Energy Loss
• Ionization• Synchrotron
– Circular acceleration• Bremsstrahlung
– Linear acceleration
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Proportional Counters• Volume of gas between 2 biased electrodes
– Ionization releases electrons (~30 eV threshold)– Drift to anode (wire)– Free more electrons on the way– Signal proportional to initial energy
• Semiconductor version– Much lower threshold (~3.5 eV)
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Photomultipliers
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Scintillation
• Convert deposited energy to emitted photons• Organic (crystals, plastics, liquids)
– Fast response, low yield– Wavelength shifters– Low Z (compton dominant)
• Inorganic (ionic crystals, glasses)– Slower response, very high yield– High Z
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Cherenkov Counters
nc βθ 1cos =
Exercise!
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Examples of Radiators
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Detector Methods applied to Satellite-based Experiments
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AMS• Antimatter• Dark matter• Large acceptance• Long mission (>10 yr)
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AMS• Antimatter• Dark matter• Large acceptance• Long mission (>10 yr)
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AMS: Magnet
• Permanent– 0.15 T
• Superconducting– 0.75 T– 3 yrs
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AMS: TRD
• Sensitive to E/m• Cross many layers
with sharp changes in index of refraction (plastic/felt and vacuum)
• Electrons emit x-rays, protons do not
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AMS: ToF
• Triggering– 1.5x10-10 s resolution
• 4 Scintillator planes– Alternating directions
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AMS: Silicon Tracker• Measure curvature
(rigidity), charge, direction, momentum
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AMS: RICH
• 0.1% velocity measurement• Aerogel, NaF radiator plane• Cherenkov ring projected
onto PMT sensors
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AMS: ECAL• e/p discrimination• ~500 kg of lead
interleaved with scintillating fibers
• 9 superlayers, criss-crossed
• electrons produce emshowers
• Protons produce hadronicshowers (wider)
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AMS: Anti-coincidence
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AMS: Current Status
• To be mounted on ISS• Launch eminent after long doubts
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Fermi GST
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GBM• NaI
– 8 keV to 1 MeV– Rate dependent on angle,
gives pointing
• BGO– 150 keV to 40 MeV– Dense to provide stopping
power at higher energy
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GRB Skymap
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LAT Performance
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Gamma Ray Sky
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Point Source Catalogue
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Some Sources
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Leptonic vs. Hadronic Source?
Leptonic Hadronic
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From γ flux to ν prediction: pp
γγπ
ννννμπ
ννννμπ
μμμ
μμμ
+→+→
+++→+→+→
+++→+→+→+−−−
+++
0
X
eX
eXpp
e
e
3/pEE ≈π
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From γ flux to ν prediction: pγ
γγπ
ννννμπγ μμμ
+→+→
+++→+→+→Δ→+ +++
0 p
enp e BR = 1/3
BR = 2/3
K = 4
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Neutrino Event Rates at Earth
• Extremely long baseline (asymptotic) oscillations• Effective Area = size of an ideal detector with
100% efficiency– Function of energy,
declination– Convolve with flux
to get event rate
νν
νν dEtA
dEdNN eff ⋅= ∫
Exercise!
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Dark Matter and how we could observe its properties
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Dark Matter Candidates• Masses, cross sections over
many orders of magnitude
• 10-6 eV to 1015 GeV
• Non-interacting to strongly interacting
• Must not be part of the standard model sector
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WIMPS as Dark Matter• Weakly Interacting Massive Particles
– In thermal equilibrium intially
– Freeze out at some time where Mχ << T– Can have correct relic density (explain missing mass) if the
annihilation cross-section is weak
– Many options (neutralino, lightest KK excitation, …)
XX +↔+ χχ
vscmh
Aσχ1103 13272 −−×≈Ω
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Search Methods• Accelerator, Direct, Indirect
– Complementary!
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Accelerator (LHC)
• Produce WIMPs, measure decay signatures
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Direct Detection Principles• Elastic collisions lead to low
energy nuclear recoil– Need ULTRA-low backgrounds
)cos1(2
222
θμ
−==NN
R mv
mqE
cmsin angle scattering target torelative velocity mean WIMP
mass reduced
transfermomentum
==
+==
=
θ
μχ
χ
vmm
mmq
N
N
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Expected Rates
• N = number of target nuclei in detector • ρχ = local density of WIMPs in the galaxy• <v> = mean WIMP velocity relative to the detector• mχ = WIMP mass• σχΝ = WIMP-nucleon elastic scattering cross section
– Spin-dependent and spin-independent contributions– Dependence on atomic number of the nucleon
vm
NR Nχχ
χ σρ
∝
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Local Density and Flux at Earth• N-body simulations give
galactic DM density profile
• ρhalo= 0.1-0.7 GeV cm-3
• ρdisk= 2-7 GeV cm-3
• With 100 GeV WIMP, gives ~ 3000 m-3
• Flux at Earth is then ~105cm-2s-1
• MEASUREABLE!
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Predicted Cross-Sections (SI)
MSUGRA CMSSM
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Expected Interaction Rates
• Differential rate versus energy depends on masses of WIMP and of target
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Techniques
• Very small signal (few keV)
• Very rare (~1 per ton per year)
• Background is millions of times higher
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Cryogenic Phonon Detection
• Also measure charge from electron drift after excitation
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CDMS-II
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CDMS-II
5x6 Ge/Si Towers
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CDMS-II
cryostat
Lead shield(γ’s from radioactivity)
Polyethylene shield(neutron moderation)
Active muonveto to reject cosmic rays
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Calibration
• electron recoil from most backgrounds (e, μ, γ)• nuclear recoil from WIMPs, neutrons
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Calibration
• electron recoil from most backgrounds (e, μ, γ)• nuclear recoil from WIMPs, neutrons• reduced ionization yield from particles near surface
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Removing Surface Events
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Result
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CDMS-II SI Limit
• Background:
• p=0.23 to observe 2 or more events
(syst) 2.0 (stat) 1.08.0 ±±
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Noble Liquids• Large, scalable,
homogeneous, and self-shielding
• 3D localization by segmentation of top PMT array, and measurement of drift time.
• Ratio of light and charge signals gives particle ID
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Noble LiquidsIonization
Scintillation
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Xenon 100
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Xenon 100
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Xenon 100
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Xenon 100• Internal Background
– Move components outside shield
– Material screening– Kr distillation column
• External Background– Copper shield versus
polyethylene contribution– 105 kg LXe active veto,
with 65 kg target
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Typical Signals
S1 S2
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Background Rejection
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Background Rejection• Factor 100 times lower than previous experiments
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Latest Results (April 2011)
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Xenon 100 SI Limit
• Background:
• p=0.28 to observe 3 or more events
neutron 04.008.01.0gamma 6.08.1±±
±
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Future of Direct Detection
• SuperCDMS, Xenon1T, Darwin (far future)
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Indirect Searches
• Search for decay producs of WIMP self-annihilation– Fermi (photons, positrons)– IceCube (neutrinos)
• Sources– Galactic Center / Halo– Centers of massive astrophysical objects (Sun, Earth)
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Dark Matter from the Galaxy• Select halo density profile
Halo
dEdN
mRJ
dEd scscA ν
χ
ν
πρψυσ
2
2
4)(
2><
=Φ
Earth
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Dark Matter from the Galaxy• Select halo density profile• Compute Line-of-Sight Integral
Halo
dEdN
mRJ
dEd scscA ν
χ
ν
πρψυσ
2
2
4)(
2><
=Φ
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Dark Matter from the Galaxy• Select halo density profile• Compute Line-of-Sight Integral• Select SUSY model to determine
annihilations and neutrino spectrum
Halo SUSY
dEdN
mRJ
dEd scscA ν
χ
ν
πρψυσ
2
2
4)(
2><
=Φ
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Dark Matter from the Galaxy• Select halo density profile• Compute Line-of-Sight Integral• Select SUSY model to determine
annihilations and neutrino spectrum• Measure flux at Earth
Measure Halo SUSY
dEdN
mRJ
dEd scscA ν
χ
ν
πρψυσ
2
2
4)(
2><
=Φ
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Dark Matter from the Galaxy• Select halo density profile• Compute Line-of-Sight Integral• Select SUSY model to determine
annihilations and neutrino spectrum• Measure flux at Earth• Constrain the self-annihilation cross
section
Measure Constrain Halo SUSY
dEdN
mRJ
dEd scscA ν
χ
ν
πρψυσ
2
2
4)(
2><
=Φ
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Dark Matter Capture in the Sun
• DM swept up from the halo by the Sun’s passage over its history
• Scattering with protons leads to capture• Measurement of the neutrino flux
probes the scattering cross-section
ν
χ
sunA
psun
C
mvC
21
23
=Γ
∝χχ
χχσρ
Exercise!
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Resultant Energy Spectrum
νχχ →→ −+WW νχχ →→ bb
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WIMPs with IceCube• 86 strings deployed
– Completed Dec. 2010– >5000 detector modules– 1450-2450 m depth– ~km3 instrumented volume
• DeepCore– More densely instrumented– Closer string spacing– High quantum efficiency PMTs– Deployed in the deepest, clearest
ice
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Background Rejection
• Exploit differences in observable distributions to reduce the muon and atmospheric neutrino backgrounds
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Halo and GC Searches
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Self-Annihilation Cross Section Limits
• Initial limits for various annihilation channels shown in blue
• Method improved using 40-string dataset (red)– Specially filtered to look at
GC– Hint of improvements to
come with DeepCore
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Multiwavelength Comparison
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Correlation to the Sun• Apply likelihood analysis to determine the flux from the
direction of the Sun
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From a Measurement to a Limit
Effective VolumeEffective Volume
Experiment Livetime
Upper limit on neutrinos from sun position
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From a Measurement to a Limit
Annihilation Rate
Neutrino-ice interaction cross section
Decay Branching Ratio
Target (ice) density
Decay Energy Spectrum
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From a Measurement to a Limit
Neutrino-induced muon flux from sun
Muon energy spectrum
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From a Measurement to a Limit
Neutrino-induced muon flux from sun
Muon energy spectrum
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Neutralino SD Cross Section Limit
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The DeepCore Advantage
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Kaluza-Klein Dark Matter
• In single extra dimension model, first KK excitation of B(1) can be a stable LKP.
• SI scattering cross-sections are small, but SD can be large enough to probe
• Similar energy spectrum to “hard” neutralino models
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KK SD Cross Section Limit
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SummaryDirect Detection
Discover relic particleConstrain (mχ, ρ x σ)
With input from accelerators determine ρlocal
Indirect Detection
Discover relic particleConstrain (mχ, ρ2 x σ)
With input from accelerators determine ρGC/halo
Accelerators
Discover new particlesDeterming physics model and mχ
Predict cross sections