Palmer N E, Benedetti L R, Vennari C E, Nyholm P R, Petre R B, Bhandarkar N, Carpenter A C, Nagel S R, Eggert J H, Bradley D K, Mackinnon A J, Ping Y
Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
Rev Sci Instrum. 2024 Sep 1;95(9). doi: 10.1063/5.0219574.
As part of a program to measure phase transition timescales in materials under dynamic compression, we have designed new x-ray imaging diagnostics to record multiple x-ray diffraction measurements during a single laser-driven experiment. Our design places several ns-gated hybrid CMOS (hCMOS) sensors within a few cm of a laser-driven target. The sensors must be protected from an extremely harsh environment, including debris, electromagnetic pulses, and unconverted laser light. Another key challenge is reducing the x-ray background relative to the faint diffraction signal. Building on the success of our predecessor (Target Diffraction In Situ), we implemented a staged approach to platform development. First, we built a demonstration diagnostic (Gated Diffraction Development Diagnostic) with two hCMOS sensors to confirm we could adequately protect them from the harsh environment and also acquire acceptable diffraction data. This allowed the team to quickly assess the risks and address the most significant challenges. We also collected scientifically useful data during development. Leveraging what we learned, we recently developed a much more ambitious instrument (Flexible Imaging Diffraction Diagnostic for Laser Experiments) that can field up to eight hCMOS sensors in a flexible geometry and participate in back-to-back shots at the National Ignition Facility (NIF). The design also allows for future iterations, such as faster hCMOS sensors and an embedded x-ray streak camera. The enhanced capabilities of the new instrument required a much more complex design, and the unexpected issues encountered on the first few shots at NIF remind us that complexity has consequences. Our progress in addressing these challenges is described herein, as is our current focus on improving data quality by reducing x-ray background and quantifying the uncertainties of our diffraction measurements.
作为测量动态压缩下材料相变时间尺度计划的一部分,我们设计了新的X射线成像诊断技术,以在单次激光驱动实验中记录多次X射线衍射测量结果。我们的设计将几个纳秒门控混合互补金属氧化物半导体(hCMOS)传感器放置在距离激光驱动靶材几厘米的范围内。这些传感器必须受到保护,免受极其恶劣的环境影响,包括碎片、电磁脉冲和未转换的激光。另一个关键挑战是相对于微弱的衍射信号降低X射线背景。基于我们前身(原位靶衍射)的成功经验,我们实施了一种分阶段的平台开发方法。首先,我们构建了一个带有两个hCMOS传感器的演示诊断设备(门控衍射开发诊断设备),以确认我们能够充分保护它们免受恶劣环境影响,并获取可接受的衍射数据。这使团队能够快速评估风险并应对最重大的挑战。我们在开发过程中还收集了具有科学价值的数据。利用所学知识,我们最近开发了一种更具雄心的仪器(用于激光实验的灵活成像衍射诊断设备),该仪器可以在灵活的几何结构中部署多达八个hCMOS传感器,并参与国家点火装置(NIF)的连续射击。该设计还允许未来进行迭代,例如更快的hCMOS传感器和嵌入式X射线条纹相机。新仪器增强的功能需要更复杂的设计,而在NIF最初几次射击中遇到的意外问题提醒我们,复杂性是有后果的。本文描述了我们在应对这些挑战方面取得的进展,以及我们目前通过降低X射线背景和量化衍射测量的不确定性来提高数据质量的重点。