激发态给出了监测外场激发下分子动力学过程的瞬态吸收信号的确切理论表述。在数值计算中,采用I2的一个二势能面系统,得到了监测基电子态高振动激发波包的吸收光谱。I2的B电子激发态用作双光子pump-dump过程的中间态。提出了一个二阶差谱探测方案,即从弱响应区域的5阶(pump-dump-probe)非线性光谱中提取分子动力学信息。程继新何国钟沈振文双丰赵仪严以京化学物...
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激发态给出了监测外场激发下分子动力学过程的瞬态吸收信号的确切理论表述.在数值计算中,采用I2的一个二势能面系统,得到了监测基电子态高振动激发波包的吸收光谱.I2的B电子激发态被用作双光子pump-dump过程的中间态.提出了一个二阶差谱探测方案,即从弱响应区域的第5阶(pump-dump-probe)非线性光谱中提取分子动力...
激发态给出了监测外场激发下分子动力学过程的瞬态吸收信号的确切理论表述.在数值计算中,采用I2的一个二势能面系统,得到了监测基电子态高振动激发波包的吸收光谱.I2的B电子激发态用作双光子pump-dump过程的中间态.提出了一个二阶差谱探测方案,即从弱响应区域的5阶(pump-dump-probe)非线性光谱中提取分子动力学...
Siebert, "Determination of wave packet dynamics by femtosecond time-resolved pump-dump-probe and four-wave mixing techniques," Journal of Molecular Structure 480-481, 33-43 (1999).Chen T,Engel V,Heid M,Kiefer W,Knopp G.Determination of wave packet dynamics by femtosecond time-resolved pump-...
Shen ZW , Chen T , Heid M , Kiefer W and Engel V , Selective preparation of ground state wavepackets: a theoretical analysis of femtosecond pump-dump-probe experiments on the potassium dimer , Eur Phys J D 14 : 2001 ; 167 .Z.W. Shen et al.; “Selective preparation of ground state...
USING ULTRAFAST PUMP-DUMP-PROBE SPECTROSCOPY TO RESOLVE THE EXCITED-STATE EQUILIBRIUM OF PERIDININLight-harvestingcarotenoidsultrafast spectroscopyperidininPCPCarotenoids are used by photosynthetic organisms for the harvesting of light and for protection against singlet oxygen. Understanding their properties in...
Our previous strategy for laser control of isomerization by intense ultrashort (ps) infrared laser pulses is extended to the spectroscopy of the transition state during the laser-driven chemical reaction, by means of a pump & dump & probe approach. The pump laser pulse excites a reactant state...
We experimentally demonstrate a novel quantum-control scheme involving pump and optimally-shaped dump laser pulses. This allows selective control of molecular dynamics all the way to the product state and provides information on potential energy surfaces.P. Nuernberger...
This process is experimental and the keywords may be updated as the learning algorithm improves.Nuernberger, PatrickUniversität WürzburgVogt, GerhardUniversität WürzburgBrixner, TobiasUniversität WürzburgGerber, GustavUniversität Würzburg