17 juin 2019 | International, Autre défense
X-rays and gamma rays have a wide range of applications including scanning suspicious maritime shipping containers for illicit materials, industrial inspection of materials and processes, and medical diagnostic and therapeutic procedures. Current technologies, however, are not ideal. X-rays produce a continuum of energies that limit their inspection and diagnostic performance, and gamma rays can only be produced at specific energies unique to a given radioactive isotope.
DARPA today announced its Gamma Ray Inspection Technology (GRIT) program. GRIT seeks novel approaches to achieve high-intensity, tunable, and narrow-bandwidth sources of gamma ray radiation in a compact, transportable form factor that would enable a wide range of national security, industrial, and medical applications. A Proposers Day webinar describing the goals of the program is scheduled for July 8, 2019.
“What we're trying to do in GRIT is transform the use of x-rays and gamma rays,” said Mark Wrobel, program manager in DARPA's Defense Sciences Office. “Current sources of gamma rays, like Cobalt-60 or Cesium-137, are not very flexible. They require special licenses to possess and only emit gamma rays at very specific energies. What we desire is a source of very high-energy photons that we can tune to match the application we need. This ranges from more effective detection of illicit cargo, to a more informative medical x-ray.”
GRIT aims to provide a source of tunable, pure x-rays and gamma rays from tens of keV (kilo-electron volts) up through over ten MeV (mega-electron volts). Currently, tunable and narrow bandwidth gamma ray sources only exist at highly specialized user facilities best suited for basic research and are not able to support broad practical applications. Shrinking these photon sources to a transportable system is a major goal and challenge of the GRIT program.
GRIT technology could make possible a range of new inspection and diagnostic protocols. In medical and industrial radiography, for example, GRIT could enable revealing specific elemental and material content, such as calcium in bones or specific metals in cargo. A typical x-ray only shows differences in density in the object being inspected – whether a piece of luggage at an airport, or an individual at a doctor's office. If successful, a GRIT x-ray source could be tuned to detect and quantify the concentration of specific elements of interest, such as the amount of calcium in a given bone x-ray, enabling radiologists to actually see bone composition.
Tuning energy between 10s of keV to over 100 hundred keV would allow detection of specific elements that might be of interest in characterizing novel materials and processes at micron scales. These techniques would be relevant to defense applications including non-destruction inspection of novel additively manufactured materials and alloys for their elemental composition.
At energy levels in the MeV range, gamma ray photons have high enough energy to actually interact with the nuclei of atoms. Whereas x-rays work by interacting with the shells of atoms, GRIT would be able to stimulate the nucleus of an atom to bring about an effect called nuclear resonance fluorescence, a sort of “fingerprint” that is unique to each isotope on the periodic table.
“With GRIT, you could probe and detect specific isotopes of interest by fine-tuning the photon energy to minimize background noise and take advantage of the nuclear resonance fluorescence phenomenon,” Wrobel said. “Those isotopes could be rare-earth elements of interest or special nuclear materials. To be able to definitively say, ‘Yes, there's highly enriched uranium in this object' and be able to characterize how much is present would be a significant leap forward over our current capabilities.”
DARPA is seeking expertise in a range of technologies on the GRIT program including advanced accelerator technology, high-energy laser systems, novel control systems, and new x-ray and gamma ray detector technology. To register for the GRIT Proposers Day webinar, visit: https://go.usa.gov/xmh28.
GRIT's focus on new, compact photon sources for inspection complements DARPA's Intense and Compact Neutron Sources (ICONS) program, which is developing compact neutron sources. The two technologies would work in tandem, yielding a very robust inspection capability.
Caption: The Gamma Ray Inspection Technology (GRIT) program seeks tunable gamma ray sources for a host of national security, industrial, and medical applications.
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Andrew Eversden WASHINGTON — The Pentagon's artificial intelligence hub is working on tools to help in joint, all-domain operations as department leaders seek to use data to gain an advantage on the battlefield. This year, the Joint Artificial Intelligence Center kicked off its joint war-fighting initiative, under which it is developing algorithms to provide armed services and combatant commands with AI tools to accelerate decision-making. Nand Mulchandani, acting director of the JAIC, said the center, for example, is “heavily” involved in the Air Force's Advanced Battle Management System, the service's primary lever to enable the Joint All-Domain Command and Control concept. The system underwent a major test last week. The center is “specifically focused” on working to harness AI to link together systems involved in the intelligence-gathering phase to the operations and effects piece of all-domain operations, Mulchandani added. “It's how do we actually connect these platforms together end to end to build sort of a system that allows a commander to actually have that level of both visibility on the intel side but able to action it on the other side,” Mulchandani said on a call with reporters Thursday. The JAIC is also working on an operations cognitive assistant tool to support commanders and “drive faster and more efficient decision-making through AI-enabled predictive analytics,” Department of Defense Chief Information Officer Dana Deasy said Thursday at the DoD AI Symposium. “Our goal is to nest these capabilities under the Joint All-Domain Command and Control concept ... to provide a more cohesive and synchronized operational framework for the joint force,” Deasy said. Earlier in the summer, a JAIC official said the war-fighting team was trying to aim a laser on an enemy vehicle to inflict damage. But to enable all these tools, one thing is paramount: data. The DoD CIO's office is set to release its data strategy later this year, with the department's new chief data officer, Dave Spirk, saying at the symposium that the he worked to reorient a draft of the strategy to ensure the use of data to enable joint war fighting is the top priority. “We're in a place now where we want to put joint war fighting at the top of the pile of things we're working on,” Spirk said at the symposium Sept. 9. Deasy also emphasized the importance of data in war fighting during a session at the Billington Cybersecurity Conference that same day. “When we do the exercises, the experiments and things maybe don't go right — I can guarantee you what they're going to write down on the whiteboard at the end of that is ‘data.' Did we have the right data today? Why couldn't we connect those data across our weapons systems, our various assets?” Deasy said. Critical to the development of artificial intelligence are adequate data storage and development platforms. The JAIC recently awarded a contract worth more than $100 million to Deloitte for the development of the Joint Common Foundation platform, an enterprisewide, cloud-based platform that the center will use to develop AI tools. Meanwhile, DoD components such as the JAIC are also awaiting the deployment of the DoD's embattled enterprise cloud, the Joint Enterprise Defense Infrastructure. Department officials have continuously pointed to the JEDI cloud as a critical piece of the JAIC's ability to develop artificial intelligence, as the new technology it is expected to store 80 percent of DoD systems across classification levels and provide massive amounts of data. Deasy said Sept. 9 that JADC2 will require the services to collect and share data with each other in a way that they have never done before, and that may require changes to how they operate. But in order to enable JADC2, he added, a cultural shift in how the services treat their data is needed; if the services want to link sensors to shooters, interoperability of services' systems and data is imperative. “Historically, each service could gather up their data, send it up their command to focus on. But in this new world ... the services are going to have to come together, which means the data's going to have to come together in a very different way,” Deasy said at the Billington Cybersecurity Conference. The DoD is in the "early days of how we're going to do that,” he added. https://www.c4isrnet.com/artificial-intelligence/2020/09/10/how-does-the-pentagons-ai-center-plan-to-give-the-military-a-battlefield-advantage/