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用于确定材料改性激光能量密度阈值的简单且稳健的方法:将刘的方法扩展到非理想光束。

Simple and robust method for determination of laser fluence thresholds for material modifications: an extension of Liu's approach to imperfect beams.

作者信息

Garcia-Lechuga Mario, Grojo David

机构信息

Aix Marseille Université, CNRS, LP3, UMR7341, Marseille, 13288, France.

Departamento de Física Aplicada, Universidad Autónoma de Madrid, Madrid, 28049, Spain.

出版信息

Open Res Eur. 2021 Jun 25;1:7. doi: 10.12688/openreseurope.13073.2. eCollection 2021.

DOI:10.12688/openreseurope.13073.2
PMID:37645104
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10445842/
Abstract

The so-called D-squared or Liu's method is an extensively applied approach to determine the irradiation fluence thresholds for laser-induced damage or modification of materials. However, one of the assumptions behind the method is the use of an ideal spatial Gaussian beam that can lead in practice to significant errors depending on beam imperfections. In this work, we rigorously calculate the bias corrections required when applying the same method to Airy-disk like profiles. Those profiles are readily produced from any beam by insertion of an aperture in the optical path. Thus, the correction method gives a robust solution for exact threshold determination without any added technical complications as for instance advanced control or metrology of the beam. Illustrated by two case-studies, the approach holds potential to solve the strong discrepancies existing between the laser-induced damage thresholds reported in the literature.  It provides also an appropriate tool for new studies with the most extreme laser radiations.

摘要

所谓的D平方或刘法是一种广泛应用于确定激光诱导材料损伤或改性的辐照通量阈值的方法。然而,该方法背后的一个假设是使用理想的空间高斯光束,在实际中,由于光束的不完善,这可能会导致显著误差。在这项工作中,我们严格计算了将同一方法应用于艾里斑状光束轮廓时所需的偏差校正。通过在光路中插入孔径,任何光束都能轻易产生这些轮廓。因此,该校正方法为精确确定阈值提供了一个稳健的解决方案,而不会像例如光束的先进控制或计量那样带来任何额外的技术复杂性。通过两个案例研究表明,该方法有潜力解决文献中报道的激光诱导损伤阈值之间存在的巨大差异。它还为使用最极端激光辐射的新研究提供了一个合适的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/599df0430649/openreseurope-1-14924-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/fad5f8bed1ea/openreseurope-1-14924-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/3bdc643d357b/openreseurope-1-14924-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/aeebc9244c10/openreseurope-1-14924-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/8e14e79ed6b2/openreseurope-1-14924-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/599df0430649/openreseurope-1-14924-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/fad5f8bed1ea/openreseurope-1-14924-g0000.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/3bdc643d357b/openreseurope-1-14924-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/aeebc9244c10/openreseurope-1-14924-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/8e14e79ed6b2/openreseurope-1-14924-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/af16/10446450/599df0430649/openreseurope-1-14924-g0004.jpg

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