arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1709.04456physics.atom-phphysics.data-an
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飞秒泵浦-探测光电子-光离子符合测量的贝叶斯概率理论分析

Analysis of femtosecond pump-probe photoelectron-photoion coincidence measurements applying Bayesian probability theory

M. Rumetshofer, P. Heim, B. Thaler, W. E. Ernst, M. Koch, W. von der Linden

摘要:

光激发分子的超快动力学过程可以通过泵浦-探测测量来观察,其中关于动力学的信息是从与激发态相关的瞬态信号中获得的。由泵浦和/或探测脉冲单独激发的背景信号常常使这些激发态信号模糊。如通常所应用的,从泵浦-探测测量中简单地减去仅泵浦和/或仅探测测量导致信噪比的降低,并且在符合检测的情况下,导致过高估计的背景减除的危险。重合测量另外遭受假重合。在这里,我们提出了一个概率方法的基础上贝叶斯概率理论,克服了这些问题。对于一个泵浦探测实验与光电子-光离子符合检测,我们重建有趣的激发态光谱从泵浦探测和泵浦只有测量。这种方法允许一致地并在同一基础上处理背景和假巧合。我们证明了贝叶斯形式主义与简单的信号减法相比具有以下优点:(i)显著地增加了信噪比,(ii)没有高估仅泵浦的贡献,(iii)排除了假的重合,(iv)一致地结合了先验知识,例如正性,(v)为重建的光谱提供置信区间,及(vi)适用于任何实验情况及噪音统计。最重要的是,通过考虑假巧合,贝叶斯方法允许在更高的电离率下运行实验,从而显著减少数据采集时间。应用于丙酮分子的泵浦-探测符合测量,可以对分子的衰变动力学和碎裂行为进行新的定量解释。

英文摘要:

Ultrafast dynamical processes in photoexcited molecules can be observed with pump-probe measurements, in which information about the dynamics is obtained from the transient signal associated with the excited state. Background signals provoked by pump and/or probe pulses alone often obscure these excited state signals. Simple subtraction of pump-only and/or probe-only measurements from the pump-probe measurement, as commonly applied, results in a degradation of the signal-to-noise ratio and, in the case of coincidence detection, the danger of overrated background subtraction. Coincidence measurements additionally suffer from false coincidences. Here we present a probabilistic approach based on Bayesian probability theory that overcomes these problems. For a pump-probe experiment with photoelectron-photoion coincidence detection we reconstruct the interesting excited-state spectrum from pump-probe and pump-only measurements. This approach allows to treat background and false coincidences consistently and on the same footing. We demonstrate that the Bayesian formalism has the following advantages over simple signal subtraction: (i) the signal-to-noise ratio is significantly increased, (ii) the pump-only contribution is not overestimated, (iii) false coincidences are excluded, (iv) prior knowledge, such as positivity, is consistently incorporated, (v) confidence intervals are provided for the reconstructed spectrum, and (vi) it is applicable to any experimental situation and noise statistics. Most importantly, by accounting for false coincidences, the Bayesian approach allows to run experiments at higher ionization rates, resulting in a significant reduction of data acquisition times. The application to pump-probe coincidence measurements on acetone molecules enables novel quantitative interpretations about the molecular decay dynamics and fragmentation behavior.

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