Generation and measurement of complex laser pulse shapes in the SG-III laser facility

D, Hu; Dong, Jun; Xu, Ding; Huang, Xiaoxia; Zhou, Wei; Tian, Xiaocheng; Zhou, Dawei; Guo, Hong; Zhong, Wei; Deng, Xiaotie; Zhu, Qi; Zheng, Wanguo

doi:10.3788/col201513.041406

Cited by 12 publications

(2 citation statements)

References 14 publications

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“…The measurement system of laser pulses in the facility [15] is a chained system that takes the output of the previous system as the input of the subsequent system, as shown in Figure 1. Therefore, we have established a deep learning model based on the characteristics of the chained system.…”

Section: Introductionmentioning

confidence: 99%

UNet-Based Framework for Predicting the Waveform of Laser Pulses of the Front-End System in a Current High-Power Laser Facility

Liao,

Huang,

Geng

et al. 2023

Photonics

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Performing data mining on large waveform datasets of a high-power laser facility is an important way to achieve precise regulation of a device. However, there are currently issues with missing values, noise, and inconsistency in this database of measuring pulse waveform in a current high-power laser facility. In this paper, a UNet of a series residual module is presented to predict the pulse waveform of a front-end chained system in a current high-power laser facility. The designed network is trained on grouped sequences formed by experimentally measuring pulse waveforms of a high-power laser facility. The strategies of relay output and relay loss are employed in training in order to enable the network to predict two kinds of pulse waveforms simultaneously. The trained network achieved an RMSE of 3.38% on the testing set of measuring pulse waveform at a frequency of 1 Hz, and an RMSE of 0.84% on the testing set of setting the voltage of the Arbitrary Waveform Generator (AWG). These results indicate that this method can accurately fill in paired missing values in the waveform database of a high-power laser facility. The main advantage of this method is that it can quickly couple operational parameters for prediction, and this method can be applied to predicting laser performance, cleaning one-dimensional sequences, and maintaining a waveform database.

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Section: Introductionmentioning

confidence: 99%

UNet-Based Framework for Predicting the Waveform of Laser Pulses of the Front-End System in a Current High-Power Laser Facility

Liao,

Huang,

Geng

et al. 2023

Photonics

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show abstract

“…At last the input pulse is generated by a close loop feedback control process, which uses an electro optic modulator driven by an electrical pulse from arbitrary waveform generation (AWG) to vary the intensity of light at the input of the system [13][14][15]. In general, the complete calcul ation needs complicated codes (For example, the SG99 in SG-III laser facility [16,17], the RAINBOW in OMEGA [9,18], the Miro in LMJ [19] and the LPOM in NIF [20,21]) which contain the spatial and temporal distribution, and so a lot of parameters are required which are difficult to obtain. It's inconvenient to some flexible laser facility such as TIL.…”

Section: Introductionmentioning

confidence: 99%

The shaped pulses control and operation on the SG-III prototype facility

Wang

Shen

et al. 2018

Laser Phys.

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The laser driven inertial confined fusion experiments require careful temporal shape control of the laser pulse. Two approaches are introduced to improve the accuracy and efficiency of the close loop feedback system for long term operation in TIL; the first one is a statistical model to analyze the variation of the parameters obtained from previous shots, the other is a matrix algorithm proposed to relate the electrical signal and the impulse amplitudes. With the model and algorithm applied in the pulse shaping in TIL, a variety of shaped pulses were produced with a 10% precision in half an hour for almost three years under different circumstance.

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Laser performance upgrade for precise ICF experiment in SG-Ⅲ laser facility

Zheng

Wei

Zhu

et al. 2017

Matter and Radiation at Extremes

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The SG-Ⅲ laser facility (SG-Ⅲ) is the largest laser driver for inertial confinement fusion (ICF) researches in China, which has 48 beamlines and can deliver 180 kJ ultraviolet laser energy in 3 ns. In order to meet the requirements of precise physics experiments, some new functionalities need to be added to SG-Ⅲ and some intrinsic laser performances need upgrade. So at the end of SG-Ⅲ's engineering construction, the 2-year laser performance upgrade project started. This paper will introduce the newly added functionalities and the latest laser performance of SG-Ⅲ. With these function extensions and performance upgrade, SG-Ⅲ is now fully prepared for precise ICF experiments and solidly paves the way towards fusion ignition.

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Generation and measurement of complex laser pulse shapes in the SG-III laser facility

Cited by 12 publications

References 14 publications

UNet-Based Framework for Predicting the Waveform of Laser Pulses of the Front-End System in a Current High-Power Laser Facility

UNet-Based Framework for Predicting the Waveform of Laser Pulses of the Front-End System in a Current High-Power Laser Facility

The shaped pulses control and operation on the SG-III prototype facility

Laser performance upgrade for precise ICF experiment in SG-Ⅲ laser facility

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