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Dive into the research topics where Larry J. Schultz is active.

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Featured researches published by Larry J. Schultz.


Nature | 2003

Surveillance: Radiographic imaging with cosmic-ray muons

Konstantin N. Borozdin; Gary E. Hogan; C. L. Morris; William C. Priedhorsky; A. Saunders; Larry J. Schultz; Margaret E. Teasdale

Despite its enormous success, X-ray radiography has its limitations: an inability to penetrate dense objects, the need for multiple projections to resolve three-dimensional structure, and health risks from radiation. Here we show that natural background muons, which are generated by cosmic rays and are highly penetrating, can be used for radiographic imaging of medium-to-large, dense objects, without these limitations and with a reasonably short exposure time. This inexpensive and harmless technique may offer a useful alternative for detecting dense materials — for example, a block of uranium concealed inside a truck full of sheep.


IEEE Transactions on Image Processing | 2007

Statistical Reconstruction for Cosmic Ray Muon Tomography

Larry J. Schultz; Gary Blanpied; Konstantin N. Borozdin; Andrew M. Fraser; Nicolas W. Hengartner; Alexei V. Klimenko; C. L. Morris; C. Oram; Michael James Sossong

Highly penetrating cosmic ray muons constantly shower the earth at a rate of about 1 muon per cm2 per minute. We have developed a technique which exploits the multiple Coulomb scattering of these particles to perform nondestructive inspection without the use of artificial radiation. In prior work , we have described heuristic methods for processing muon data to create reconstructed images. In this paper, we present a maximum likelihood/expectation maximization tomographic reconstruction algorithm designed for the technique. This algorithm borrows much from techniques used in medical imaging, particularly emission tomography, but the statistics of muon scattering dictates differences. We describe the statistical model for multiple scattering, derive the reconstruction algorithm, and present simulated examples. We also propose methods to improve the robustness of the algorithm to experimental errors and events departing from the statistical model.


Science & Global Security | 2008

Tomographic Imaging with Cosmic Ray Muons

C. L. Morris; C. C. Alexander; Jeffrey Bacon; Konstantin N. Borozdin; D. J. Clark; R. Chartrand; C. J. Espinoza; Andrew M. Fraser; M. Galassi; J. A. Green; J. S. Gonzales; John J. Gomez; Nicolas W. Hengartner; Gary E. Hogan; Alexei V. Klimenko; M. Makela; P. McGaughey; J. Medina; F.E. Pazuchanics; William C. Priedhorsky; J. C. Ramsey; A. Saunders; R. C. Schirato; Larry J. Schultz; Michael James Sossong; G. S. Blanpied

Over 120 million vehicles enter the United States each year. Many are capable of transporting hidden nuclear weapons or nuclear material. Currently deployed X-ray radiography systems are limited because they cannot be used on occupied vehicles and the energy and dose are too low to penetrate many cargos. We present a new technique that overcomes these limitations by obtaining tomographic images using the multiple scattering of cosmic radiation as it transits each vehicle. When coupled with passive radiation detection, muon interrogation could contribute to safe and robust border protection against nuclear devices or material in occupied vehicles and containers.


Review of Scientific Instruments | 2003

Detection of high-Z objects using multiple scattering of cosmic ray muons

William C. Priedhorsky; Konstantin N. Borozdin; Gary E. Hogan; C. L. Morris; A. Saunders; Larry J. Schultz; Margaret E. Teasdale

We demonstrate that high-Z material can be detected and located in three dimensions using radiographs formed by cosmic-ray muons. Detection of high-Z material hidden inside large volume of ordinary cargo is an important and timely task given the danger associated with illegal transport of uranium and heavier elements. Existing radiography techniques are inefficient for shielded material, often expensive and involve radiation hazards, real and perceived. We recently demonstrated that radiographs can be formed using cosmic-ray muons [K. N. Borozdin et al., Nature (London) 422, 277 (2003)]. Here, we show that compact, high-Z objects can be detected and located in three dimensions with muon radiography. The natural flux of cosmic-ray muons [P. K. F. Grieder, Cosmic Rays at Earth (Elsevier, New York, 2001)], approximately 10 000 m−2 min−1, can form useful images in ∼1 min, using large-area muon detectors like those used in high-energy physics.


Superconductor Science and Technology | 2010

Ultra-low-field MRI for the detection of liquid explosives

Michelle A. Espy; Mark Flynn; John J. Gomez; Christina J. Hanson; Robert H. Kraus; Per E. Magnelind; Karlene Maskaly; Shaun Newman; Tuba Owens; Mark Peters; Henrik Sandin; Igor Savukov; Larry J. Schultz; Algis Urbaitis; Petr L. Volegov; Vadim S. Zotev

Recently it has become both possible and practical to perform MR at magnetic fields from µT to mT, the so-called ultra-low field (ULF) regime. SQUID sensor technology allows for ultra-sensitive detection while pulsed pre-polarizing fields greatly enhance signal. The instrumentation allows for unprecedented flexibility in signal acquisition sequences and simplified MRI instrumentation. Here we present the results for a new application of ULF MRI and relaxometry for the detection and characterization of liquids. We briefly describe the motivation and advantages of the ULF MR approach. We then present recent results from a 7- channel ULF MRI/relaxometer system constructed to non-invasively inspect liquids at a security check-point for the presence of hazardous material. The instrument was fielded to the Albuquerque International Airport in December, 2008, and results from that endeavor are also presented.


INTERSECTIONS OF PARTICLE AND NUCLEAR PHYSICS: 8th Conference CIPANP2003 | 2004

Detection of High‐Z Objects using Multiple Scattering of Cosmic Ray Muons

Gary E. Hogan; Konstantin N. Borozdin; John J. Gomez; C. L. Morris; William C. Priedhorsky; A. Saunders; Larry J. Schultz; Margaret E. Teasdale

Detection of high‐Z material hidden inside a large volume of ordinary cargo is an important and timely task given the danger associated with illegal transport of uranium and heavier elements. Existing radiography techniques are inefficient for shielded material, often expensive and involve radiation hazards, real and perceived. We recently demonstrated that radiographs can be formed using cosmic‐ray muons. Here, we show that compact, high‐Z objects can be detected and located in 3 dimensions with muon radiography. The natural flux of cosmic‐ray muons, approximately 10,000 m−2min−1, can generate a reliable detection signal in a fraction of a minute, using large‐area muon detectors as used in particle and nuclear physics.


ieee nuclear science symposium | 2006

Optimizing the Tracking Efficiency for Cosmic Ray Muon Tomography

J. A. Green; C. C. Alexander; T. Asaki; Jeffrey Bacon; Gary Blanpied; Konstantin N. Borozdin; A. Canabal-Rey; R. Chartrand; D.J. Clark; C. J. Espinoza; E. Figueroa; Andrew M. Fraser; M. Galassi; John J. Gomez; J. S. Gonzales; A. G. Green; Nicolas W. Hengartner; Gary E. Hogan; Alexei V. Klimenko; P. McGaughey; G. McGregor; J. Medina; C. L. Morris; K. Mosher; C. Orum; F.E. Pazuchanics; William C. Priedhorsky; A. Sanchez; A. Saunders; R. Schirato

We have built a detector capable of locating high Z objects in the sampling (middle) region of the detector. As atomic number increases, radiation length rapidly decreases, yielding larger variance in scattering angle. Cosmic ray muon tomography works by tracking muons above the sampling region, and tracking them below the region as well. The difference between the two trajectories yield information, via the muon scattering variance, of the materials contained within the sampling region [Borozdin, K, et al., 2003]. One of most important aspects of cosmic ray tomography is minimizing exposure time. The cosmic ray flux is about 1 cm-2 min-1, and the goal is to use them for detecting high-density materials as quickly as possible. This involves using all of the information possible to reconstruct tracks with redundant detectors. Detector scattering residuals yield a low precision measurement of muon energy. Knowing the rough energy of an incoming particle will yield more precisely the expected scattering variance (currently the expectation value of ~3 GeV is used).


IEEE Transactions on Applied Superconductivity | 2011

SQUIDs vs. Induction Coils for Ultra-Low Field Nuclear Magnetic Resonance: Experimental and Simulation Comparison

Larry J. Schultz; Michelle A. Espy; Robert H. Kraus; Igor Savukov; Petr L. Volegov; Caroline Wurden

Nuclear magnetic resonance (NMR) is widely used in medicine, chemistry and industry. One application area is magnetic resonance imaging (MRI). Recently it has become possible to perform NMR and MRI in the ultra-low field (ULF) regime requiring measurement field strengths of the order of only 1 Gauss. This technique exploits the advantages offered by superconducting quantum interference devices or SQUIDs. Our group has built SQUID based MRI systems for brain imaging and for liquid explosives detection at airport security checkpoints. The requirement for liquid helium cooling limits potential applications of ULF MRI for liquid identification and security purposes. Our experimental comparative investigation shows that room temperature inductive magnetometers may provide enough sensitivity in the 3-10 kHz range and can be used for fast liquid explosives detection based on ULF NMR technique. We describe experimental and computer-simulation results comparing multichannel SQUID based and induction coils based instruments that are capable of performing ULF MRI for liquid identification.


IEEE Transactions on Applied Superconductivity | 2009

Applications of Ultra-Low Field Magnetic Resonance for Imaging and Materials Studies

Michelle A. Espy; Mark Flynn; John J. Gomez; Christina J. Hanson; Robert H. Kraus; Per E. Magnelind; Karlene Maskaly; Shaun Newman; Mark Peters; Henrik Sandin; Igor Savukov; Larry J. Schultz; Algis Urbaitis; Petr L. Volegov; Vadim S. Zotev

Recently it has become both possible and practical to perform MR at magnetic fields from muT to mT, the so-called ultra-low field (ULF) regime. SQUID sensor technology allows for ultra-sensitive detection while pulsed pre-polarizing fields greatly enhance signal. The instrumentation allows for unprecedented flexibility in signal acquisition sequences. Here we present the results from several applications of ULF MR which exploit the unique abilities of the method. These include novel ways to image both brain structure and function either by combination of MRI with magnetoencephalography or direct observation of the interaction of neural currents with the spin population, and ULF relaxometry for detection and characterization of materials relevant to numerous non-invasive inspection applications. We briefly describe the motivation, advantages, and recent results of several new applications of the ULF MR method. Specifically, we present recent data measuring the interaction of weak ( ~ 10 muA) currents with a spin-population in a water phantom, as studied by ULF MRI with implications for neural current imaging. We also present data from a ULF MR relaxometer developed inspecting liquids in a check-point for the presence of hazardous material.


IEEE Transactions on Applied Superconductivity | 2011

Progress on Detection of Liquid Explosives Using Ultra-Low Field MRI

Michelle A. Espy; Shermiyah Baguisa; David Dunkerley; Per E. Magnelind; Tuba Owens; Henrik Sandin; Igor Savukov; Larry J. Schultz; Algis Urbaitis; Petr L. Volegov

Nuclear magnetic resonance (NMR) spectroscopy and magnetic resonance imaging (MRI) methods are widely used in medicine, chemistry and industry. Over the past several years there has been increasing interest in performing NMR and MRI in the ultra-low field (ULF) regime, with measurement field strengths of 10-100 microTesla and pre-polarization fields of 30-50 mTesla. The real-time signal-to-noise ratio for such measurements is about 100. Our group at LANL has built and demonstrated the performance of SQUID-based ULF NMR/MRI instrumentation for classification of materials and detection of liquid explosives via their relaxation properties measured at ULF, using T1, T2, and T1 frequency dispersion. We are also beginning to investigate the performance of induction coils as sensors. Here we present recent progress on the applications of ULF MR to the detection of liquid explosives, in imaging and relaxometry.

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C. L. Morris

Los Alamos National Laboratory

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Konstantin N. Borozdin

Los Alamos National Laboratory

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Michelle A. Espy

Los Alamos National Laboratory

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William C. Priedhorsky

Los Alamos National Laboratory

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A. Saunders

Los Alamos National Laboratory

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Gary E. Hogan

Los Alamos National Laboratory

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Alexei V. Klimenko

Los Alamos National Laboratory

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Andrew M. Fraser

Los Alamos National Laboratory

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Henrik Sandin

Los Alamos National Laboratory

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