Innovation in Sensing Bill Priedhorsky 13 September 2010.
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Transcript of Innovation in Sensing Bill Priedhorsky 13 September 2010.
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Innovation in Sensing
Bill Priedhorsky13 September 2010
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Landscape for innovation (partial)• Nano-enabled scintillators and detectors• Gamma-ray imaging (Compton)• High resolution superconducting detectors• Laser-driven sources for active interrogation• Nuclear resonance imaging• Integrating multiple radiographies• Neutrino detection• Muon radiography and muonic x-rays• THz sources and detectors• Quantum detectors: B, gravity, gradiometry• Smart, mobile detectors to overcome R2
• Stable isotopics at a particular molecular site• Grain-level chemical history• Biochemical perturbations in plants and animalsIdeas from LDRD and elsewhere
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Example:Detection of nuclear radiations sounds easy…
Gammas or neutronsfrom a nuclear threat
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…but backgrounds can be crippling
Same source in the presence of
background
Can anything be done?
Yes!
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1. Get more signal with a bigger detector
Same source, same
background, 30 times larger
detector
Very large detectors
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2. Reduce the background
Same source, 10 x less
background (imaging or
spectroscopic detector)
Quantum-dot activated scintillator and semiconductor
detectors
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3. Make the source brighter
Source 10x brighter
Active interrogation
Event
Bring sensor closer – distributed sensor nets
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4. Look at its shadow (radiography)
Radiographicimage
Muon radiograph (C-clamp)
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Analyzing possibilities for improvement
Smin = min 4 π r2 E1/2 √(B + I) A-1/2 T-1/2 (fov/scan)-1/2 -1
or if B >> I
Smin = min 4 π r2 E1/2 B1/2 Aeff-1/2 T-1/2 (fov/scan)-1/2
Smin Source emission h s-1 into 4 min Minimum acceptable signal-to-noiser Source range cmE Detector energy resolution keVDetector angular resolution radians (pixel solid angle = 2)B Diffuse background h cm-2 s-1 keV-1 sr-1
Detector efficiencyI Intrinsic detector background counts cm-2 s-1 keV-1 sr-1
A Detector area cm2
Aeff Detector effective area cm2
T Total observation time sfov Solid angle viewed at any instant srscan
Total solid angle to be monitored sr
Detection of narrow-line point
source
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Points of leverage
Smin = min 4 π r2 E1/2 B1/2 Aeff-1/2 T-1/2 (fov/scan)-1/2
Spectral resolutionUntangle complex spectra
ProximityAngular resolutionUntangle confused regions, map
AreaBrute force not much help
Instantaneous f.o.v.Capture fast events
Not captured in equationHigh time resolutionTypically photon-limitedFast response multi-spectralTransient multi-physics
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Landscape for innovation (repris)• Nano-enabled scintillators and detectors• Gamma-ray imaging (Compton)• High resolution superconducting detectors• Laser-driven sources for active interrogation• Nuclear resonance imaging• Integrating multiple radiographies• Neutrino detection• Muon radiography and muonic x-rays• THz sources and detectors• Quantum detectors: B, gravity, gradiometry• Smart, mobile detectors to overcome R2
• Stable isotopics at a particular molecular site• Grain-level chemical history• Biochemical perturbations in plants and animalsIdeas from LDRD and elsewhere
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Cryogenic Microcalorimeters:First measurement of 235U and 226Ra splitting
Courtesy Mike Rabin
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Laser acceleration approaches 1 GeV/AMU
Courtesy Mike Rabin
courtesy K. Flippo
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Mobility allows smart search & detection
Simulated model-driven search. Belief in source location evolves with time, quickly converging on the correct (leftmost) bin
A. Klimenko, W. Priedhorsky, N. Hengartner, and K. Borozdin, “Efficient Strategies for Low Statistics Nuclear Searches”, IEEE Trans. Nucl. Sci., (2006)
time
source bin background bins
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Simulated smart search performance
A. Klimenko, W. Priedhorsky, N. Hengartner, and K. Borozdin, “Efficient Strategies for Low Statistics Nuclear Searches”, IEEE Trans. Nucl. Sci. (2006)
Smart search
Not-so-smart search
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Distributed sensors face reality
• Fundamental issues– Power– Communications– Placement and
localization– Reliability– Sensor miniaturization
– Security• Watch for commercial
developments!
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Vision: ask questions of a model, not a measurement
Model
Measurement
World
Measurements drive the model
The needs of the model drive measurement
Users should interactwith the model
Not with the measurements
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Collaborate across disciplines – but thoughtfully
Wolfgang PauliNobel Physics 1945
Physics: Postulates neutrino Chemistry:
Exclusion principle essential to electron orbitals
She runs off with a chemist 1930
Marries Berlin dancer Käthe Deppner 1929
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Backup slides
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Detection faces problems of scale
Cuba 1962: 0.1 km2 missile field in a 100,000 km2 countryTerrorism today: 1 m2 target in a 1,000,000 km2 region
Cuba 1962
Afghanistan/Pakistan today