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dc.contributor.authorZhang, Yongning
dc.contributor.authorJiang, Junfeng
dc.contributor.authorWang, Shuang
dc.contributor.authorLiu, Kun
dc.contributor.authorMa, Zhe
dc.contributor.authorGu, Gaofei
dc.contributor.authorHui, Rongqing
dc.contributor.authorLiu, Tiegen
dc.identifier.citationY. Zhang et al., "Femtosecond Pulse Temporal Overlap Estimation and Adjustment in SSFS-Based CARS System," in IEEE Access, vol. 7, pp. 131317-131325, 2019. doi: 10.1109/ACCESS.2019.2940587en_US
dc.descriptionThis work is licensed under a Creative Commons Attribution 4.0 International License.en_US
dc.description.abstractWe present and verify a residual-pump-based temporal overlap estimation method in soliton self-frequency shift-based coherent anti-Stokes Raman scattering system. The residual pump light, output by a highly nonlinear photonic crystal fiber, acts as a crucial link between the pump and Stokes pulses during the temporal overlap estimation. The wavelength-dependent optical delay is estimated to be 0.141 ps/nm when the Stokes wavelength is 900 nm ~1050 nm according to the temporal overlap estimation method. The actual measurement result is 0.138 ps/nm based on the nonresonant signal from a microscope slide, which is very close to the estimated result. In addition, the Raman resonant signals of liquid cyclohexane at 2853 cm -1 , 2923 cm -1 and 2938 cm -1 have also been successfully detected at the predicted optical delays 427.27 ps and 428.17 ps.en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsCopyright 2019 The Authors.en_US
dc.subjectFiber nonlinear opticsen_US
dc.subjectOptical solitonsen_US
dc.subjectRaman scatteringen_US
dc.titleFemtosecond Pulse Temporal Overlap Estimation and Adjustment in SSFS-Based CARS Systemen_US
kusw.kuauthorHui, Rongqing
kusw.kudepartmentElectrical Engineering & Computer Scienceen_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US

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Copyright 2019 The Authors.
Except where otherwise noted, this item's license is described as: Copyright 2019 The Authors.