1064 nm CW laser与ICP等离子体相互作用的概率主成分和线性判别分析：模拟黑洞引起的反斯托克斯冷却
Probabilistic principal component and linear discriminant analysis of interaction of 1064 nm CW laser with ICP plasma: Anti-Stokes cooling due to analogue black hole
摘要：
已知模式识别和机器学习技术在研究光-物质相互作用的基础物理学方面发挥着新兴作用。在这个问题上，光子凝聚和反斯托克斯冷却仍然是激光与欠稠密等离子体相互作用的引人注目的现象。采用概率模式识别方法研究了1064 nm连续波激光与感应耦合等离子体（ICP）相互作用的时间分辨光谱数据，得到了模拟黑洞（ABH）及其激发同宿轨道哨声波的三维矢量场.矢量谱表明，凝聚和反斯托克斯冷却的集体行为是由于Hg 1的电子跃迁被激光的ABH声子阱所俘获。通过概率线性判别分析（PLDA）获得的亚音速声子矢量谱的建模估计的0.70纳开尔文的ABH的汇区的温度。
英文摘要：
Pattern recognition and machine learning techniques are known to play an emerging role for studying underlying physics of light-matter interaction. While on the subject, photon condensation and Anti-Stokes cooling remain compelling phenomena of laser-underdense plasma interaction. In this work, the interaction of a 1064 nm continuum-wave laser with inductively-coupled plasma (ICP) of Mercury(Hg) has been studied by probabilistic pattern recognition over observed time resolved spectral data.3D vector fields obtained by the probabilistic pattern recognition over spectral database proficiently illuminates the analogue black hole (ABH) and its sonic horizon in which homoclinic orbit Whistler waves are exited. Vector spectra show the collective behavior of condensation and anti-Stokes cooling is due to the electronic transitions of Hg1 trapped by the phonon sink of ABH of laser. Modeling of subsonic phonon vector spectrum obtained by the probabilistic linear discriminant analysis(PLDA) estimates the 0.70 nanoKelvin of temperature of the sink region of ABH.
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