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Characterization of damage precursor density from laser damage probability measurements with non-Gaussian beams

机译:非高斯光束激光损伤概率测量的损伤前兆密度的表征

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Damage induced by nanosecond laser in optical materials can often be attributed to the presence of laser damage precursor in the material. The presence of these precursors within dielectric optics can be successfully described by so called distributed defect ensembles. The physical parameters of these precursor presence models can be deduced by fitting experimental laser damage probability data. For a degenerate defect ensemble these parameters are the precursor threshold and the precursor density in the sample. To deduce precursor densities correctly it is essential to consider the real shape of laser beam that often deviates from Gaussian or hat-top models. To address these issues we discuss a new fitting procedure that minimizes significant errors in the deduced model parameters using experimental beam profile images. We suggest two methods: Defining a Gaussian replacement beam or using a numerical approximation of the surface over threshold (SOT) of the real beam. Both methods are discussed at the example of a degenerate damage precursor population but apply to any type of damage precursor population.
机译:纳秒激光在光学材料中诱导的损伤通常归因于材料中的激光损伤前体。通过所谓的分布缺陷集合可以成功地描述这些前体在介电光学内的存在。这些前体存在模型的物理参数可以通过拟合实验激光损伤概率数据来推导。对于退化的缺陷集合,这些参数是样品中的前体阈值和前体密度。为了使前体密度正确地推测,需要考虑通常偏离高斯或帽子顶部模型的激光束的真实形状。为了解决这些问题,我们讨论了一种新的拟合程序,可以使用实验梁轮廓图像最大限度地减少推导的模型参数中的显着误差。我们建议两种方法:定义高斯替换光束或使用真实光束的阈值(SOT)的表面的数值近似。在退化损伤前体群的实施例中讨论了两种方法,但适用于任何类型的损伤前体群。

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