RUI: Momentum Imaging Studies of Controlled Molecular Fragmentation

RUI：受控分子断裂的动量成像研究

• 批准号: 0653598
• 负责人: Eric Wells
• 金额: --
• 依托单位: Augustana University Association
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-06-15 至 2010-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0653598&HistoricalAwards=false
• 关键词: RUI; Momentum; Imaging; Studies; Controlled

A variety of chemical processes have been controlled in recent years using closed loop schemes involving shaped laser pulses. For all but the most basic systems, however, it has proved challenging to deconstruct the optimal laser pulse to recover information about the molecular dynamics involved in the laser-molecule interaction. On the other hand, momentum imaging techniques can produce rich, correlated, multi-dimensional data that has led to significant advances in our understanding of many photon- and ion-molecule interactions. The program of research described in this proposal would use momentum imaging to probe the molecular fragmentation dynamics arising from optimized laser pulses. By combining numerical analysis capable of reducing the optimal pulse shape to its essential features with a posteriori reconstruction of the dynamics afforded by momentum imaging, we hope to deduce the control mechanism(s). Specifically, the PI proposes to identify interesting "optimal" pulses for selective molecular fragmentation using closed-loop control and then use momentum imaging to investigate the control mechanisms produced by these pulses. Information gleaned from the imaging measurements will also be used to explore the interesting topology of the multidimensional surface that defines the optimal control parameters.

近年来，已经使用涉及整形激光脉冲的闭环方案来控制各种化学过程。 然而，对于除了最基本的系统之外的所有系统，事实证明，解构最佳激光脉冲以恢复有关激光-分子相互作用中涉及的分子动力学的信息具有挑战性。 另一方面，动量成像技术可以产生丰富的、相关的、多维的数据，这使得我们对许多光子和离子分子相互作用的理解取得了重大进展。 该提案中描述的研究计划将使用动量成像来探测优化激光脉冲产生的分子碎片动力学。 通过将能够将最佳脉冲形状减少到其基本特征的数值分析与动量成像提供的动力学的后验重建相结合，我们希望推断出控制机制。 具体来说，PI 建议使用闭环控制来识别用于选择性分子碎片的有趣的“最佳”脉冲，然后使用动量成像来研究这些脉冲产生的控制机制。从成像测量中收集的信息还将用于探索定义最佳控制参数的多维表面的有趣拓扑。