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The Award database is continually updated throughout the year. As a result, data for FY19 is not expected to be complete until April, 2020.

  1. Urban Area Blast Wave Analysis using a Hierarchical, Solution-based, Adaptive Mesh Refinement Technique

    SBC: HY-Tech Research Corp.            Topic: N/A

    The magnetic field distribution in a Z-pinch, can be used to infer the currentsflowing in the pinch and study the stability during the implosion phase. Faradayrotation techniques are too insensitive for measurements during the run-in phase.Similarly, it is difficult to infer the Zeeman splitting from spectrally resolvedline profile when the splitting is much less than the absorption line width d.H ...

    SBIR Phase I 2001 Department of DefenseDefense Threat Reduction Agency
  2. Heterdyne Interferometer for Triggering Gas Puff PRSs

    SBC: HY-Tech Research Corp.            Topic: N/A

    Large X-ray generators using gas fill loads are a key element in the DTRA simulator program. Consistent relative timing between the injection of the gas shell and the generator current pulse is crucial to producing consistent, high-yield x-ray pulses.To that end HY-Tech proposes replacing existing high voltage trigger pin technology, with a sensitive, all fiber-optic heterodyne interferometer ba ...

    SBIR Phase I 2003 Department of DefenseDefense Threat Reduction Agency
  3. Unique High Precision Spectrometer for Warm X-ray Development and Model Benchmarking

    SBC: UTD, INC.            Topic: N/A

    Drilling has been an integral part of defense community weapons effects testing for over 40 years. Hard target defeat programs have required specialized drilling technology in the creation of test targets and in the monitoring of weapons tests, that canonly be accomplished by directional drilling. Unfortunately the cost of conducting directional drilling, the typical use of large volumes of wate ...

    SBIR Phase I 2001 Department of DefenseDefense Threat Reduction Agency
  4. Automated pattern recognition methods to identify nuclear explosions

    SBC: Acorn Science & Innovation, Inc.            Topic: DTRA182005

    Reliable automated pattern recognition in the current system is limited by excessive noise and clutter combined with insufficient and/or ambiguous features. Our team consisting of AcornSI and Leidos thus propose a multi-step approach based on the combined effects of improved detection, feature extraction, phase identification, and global association.A key innovation here is creating a new classifi ...

    SBIR Phase I 2019 Department of DefenseDefense Threat Reduction Agency

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