Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Polarization dependence of laser damage growth features on multilayer dielectric mirrors for petawatt-class lasers

Not Accessible

Your library or personal account may give you access

Abstract

PETAL (Petawatt Aquitaine Laser) is an ultrahigh-power laser dedicated to academic research that delivers sub-picosecond pulses. One of the major issues of these facilities is the laser damage on optical components located at the final stage. Transport mirrors of the PETAL facility are illuminated under different polarization directions. This configuration motivates a thorough investigation of the dependency of the laser damage growth features (thresholds, dynamics, and damage site morphologies) on the incident polarization. Damage growth experiments were carried out in s- and p-polarization at 0.8 ps and 1053 nm on multilayer dielectric mirrors with a squared top-hat beam. Damage growth coefficients are determined by measuring the evolution of the damaged area for both polarizations. In this Letter, we report higher damage growth threshold in p-polarization together with higher damage initiation threshold in s-polarization. We also report faster damage growth dynamics in p-polarization. The damage site morphologies and their evolution under successive pulses are found to strongly depend on polarization. A numerical model in 3D was developed to assess experimental observations. This model shows the relative differences in damage growth threshold even if it is not able to reproduce the damage growth rate. Numerical results demonstrate that damage growth is mainly driven by the electric field distribution which depends on the polarization.

© 2022 Optica Publishing Group

Full Article  |  PDF Article
More Like This
Investigation of the influence of a spatial beam profile on laser damage growth dynamics in multilayer dielectric mirrors in the near infrared sub-picosecond regime

Saaxewer Diop, Alexandre Ollé, Nadja Roquin, Marine Chorel, Éric Lavastre, Laurent Gallais, Nicolas Bonod, and Laurent Lamaignère
Opt. Express 30(11) 17739-17753 (2022)

Temporal dependency in the picosecond regime of laser damage growth

Alexandre Ollé, Saaxewer Diop, Nadja Roquin, Laurent Gallais, and Laurent Lamaignère
Opt. Lett. 45(14) 4024-4027 (2020)

Impact of the multilayer dielectric design on the laser-induced damage threshold of pulse compression gratings for petawatt-class lasers

Saaxewer Diop, Nicolas Bonod, Marine Chorel, Éric Lavastre, Nadja Roquin, Lilian Heymans, Pierre Brianceau, Laurent Gallais, and Laurent Lamaignère
Opt. Lett. 48(17) 4669-4672 (2023)

Supplementary Material (2)

NameDescription
Visualization 1       Damage site morphologies simulated with the FEM model according to (a) the p-polarization and (b) s-polarization. The red marks correspond to the damaged zone. The black arrows represent the polarization direction.
Visualization 2       Acquisitions of damage growth sequences with the macroscope. Initial damage sites were illuminated (a) in p-polarization at a fluence of 3.23 J/cm² and (b) in s-polarization at a fluence of 3.41 J/cm². The laser beam comes from the left with an angle

Data availability

Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (6)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.