基于时间分辨偏振各向异性测量的中性稀有气体团簇尺寸表征
Size characterization of neutral rare-gas clusters based on time-resolved polarization anisotropy measurements
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中文总结 AI 辅助
研究中性稀有气体团簇尺寸测定难题，采用时间分辨偏振各向异性测量技术，提出有效分析模型，能检测平均团簇尺寸微小变化，完善了稀有气体团簇尺寸估计的哈格纳标度律。
中文摘要 AI 辅助
中性团簇的尺寸测定在实验上具有挑战性。特别是，弱束缚的稀有气体团簇在电离时容易破碎，导致团簇尺寸研究中的系统误差。相比之下，时间偏振各向异性退相的表征为团簇尺寸估计提供了一种软检测方案，可避免团簇破碎。本文利用该技术对50至10000个原子范围内的氩和氖团簇进行了系统的实验研究。为了从数据中提取平均团簇尺寸，我们提出了一个掺杂团簇集合偏振各向异性退相的有效分析模型。该方法对平均团簇尺寸仅几十原子的小变化具有显著敏感性，并使我们能够完善广泛使用的用于估计稀有气体团簇尺寸的哈格纳标度律。
英文摘要
The size determination of neutral clusters is experimentally challenging. In particular, weakly-bound rare-gas clusters tend to fragment upon ionization, resulting in systematic errors in cluster size studies. In contrast, characterization of the temporal polarization anisotropy dephasing provides a soft detection scheme for cluster size estimation, which avoids fragmentation of the clusters. Here, we present a systematic experimental study of argon and neon clusters in the size range of 50 to 10.000 atoms using this technique. In order to extract the mean cluster sizes from the data, we present an efficient analytical model of the polarization anisotropy dephasing of an ensemble of doped clusters. The approach shows remarkable sensitivity to small changes in the mean cluster size of just a few tens of atoms and allows us to refine the widely used Hagena scaling law for the estimation of rare-gas cluster sizes.
