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| 1 | Data-driven science and machine learning methods in laser-plasma physics显示文摘Laser-plasma physics has developed rapidly over the past few decades as lasers have become both more powerful and more widely available.Early experimental and numerical research in this field was dominated by single-shot experiments with limited parameter exploration.However,recent technological improvements make it possible to gather data for hundreds or thousands of different settings in both experiments and simulations.This has sparked interest in using advanced techniques from mathematics,statistics and computer science to deal with,and benefit from,big data.At the same time,sophisticated modeling techniques also provide new ways for researchers to deal effectively with situation where still only sparse data are available.This paper aims to present an overview of relevant machine learning methods with focus on applicability to laser-plasma physics and its important sub-fields of laser-plasma acceleration and inertial confinement fusion. | Andreas Döpp Christoph Eberle Sunny Howard Faran Irshad Jinpu Lin Matthew Streeter | 2023 | High Power Laser Science and Engineering2023，11，5： | 0 |
| 2 | Hyperspectral compressive wavefront sensing显示文摘Presented is a novel way to combine snapshot compressive imaging and lateral shearing interferometry in order to capture the spatio-spectral phase of an ultrashort laser pulse in a single shot.A deep unrolling algorithm is utilized for snapshot compressive imaging reconstruction due to its parameter efficiency and superior speed relative to other methods,potentially allowing for online reconstruction.The algorithm’s regularization term is represented using a neural network with 3D convolutional layers to exploit the spatio-spectral correlations that exist in laser wavefronts.Compressed sensing is not typically applied to modulated signals,but we demonstrate its success here.Furthermore,we train a neural network to predict the wavefronts from a lateral shearing interferogram in terms of Zernike polynomials,which again increases the speed of our technique without sacrificing fidelity.This method is supported with simulation-based results.While applied to the example of lateral shearing interferometry,the methods presented here are generally applicable to a wide range of signals,including Shack-Hartmann-type sensors.The results may be of interest beyond the context of laser wavefront characterization,including within quantitative phase imaging. | Sunny Howard Jannik Esslinger Robin HWWang Peter Norreys Andreas Döpp | 2023 | High Power Laser Science and Engineering2023，11，3： | 0 |
| 3 | Control systems and data management for high-power laser facilities显示文摘The next generation of high-power lasers enables repetition of experiments at orders of magnitude higher frequency than what was possible using the prior generation.Facilities requiring human intervention between laser repetitions need to adapt in order to keep pace with the new laser technology.A distributed networked control system can enable laboratory-wide automation and feedback control loops.These higher-repetition-rate experiments will create enormous quantities of data.A consistent approach to managing data can increase data accessibility,reduce repetitive data-software development and mitigate poorly organized metadata.An opportunity arises to share knowledge of improvements to control and data infrastructure currently being undertaken.We compare platforms and approaches to state-of-the-art control systems and data management at high-power laser facilities,and we illustrate these topics with case studies from our community. | Scott Feister Kevin Cassou Stephen Dann Andreas Döpp Philippe Gauron Anthony J.Gonsalves Archis Joglekar Victoria Marshall Olivier Neveu Hans-Peter Schlenvoigt Matthew J.V.Streeter Charlotte A.J.Palmer | 2023 | High Power Laser Science and Engineering2023，11，5： | 0 |
| 4 | Stable femtosecond X-rays with tunable polarization from a laser-driven accelerator显示文摘Technology based on high-peak-power lasers has the potential to provide compact and intense radiation sources for a wide range of innovative applications.In particular,electrons that are accelerated in the wakefield of an intense laser pulse oscillate around the propagation axis and emit X-rays.This betatron source,which essentially reproduces the principle of a synchrotron at the millimeter scale,provides bright radiation with femtosecond duration and high spatial coherence.However,despite its unique features,the usability of the betatron source has been constrained by its poor control and stability.In this article,we demonstrate the reliable production of X-ray beams with tunable polarization.Using ionization-induced injection in a gas mixture,the orbits of the relativistic electrons emitting the radiation are reproducible and controlled.We observe that both the signal and beam profile fluctuations are significantly reduced and that the beam pointing varies by less than a tenth of the beam divergence.The polarization ratio reaches 80%,and the polarization axis can easily be rotated.We anticipate a broad impact of the source,as its unprecedented performance opens the way for new applications. | Andreas Döpp Benoit Mahieu Agustin Lifschitz Cedric Thaury Antoine Doche Emilien Guillaume Gabriele Grittani Olle Lundh Martin Hansson Julien Gautier Michaela Kozlova Jean Philippe Goddet Pascal Rousseau Amar Tafzi Victor Malka Antoine Rousse Sebastien Corde Kim Ta Phuoc | 2017 | Light(Science & Applications)2017，6，1： | 2 |
| 5 | Tango Controls and data pipeline for petawatt laser experiments显示文摘The Centre for Advanced Laser Applications in Garching,Germany,is home to the ATLAS-3000 multi-petawatt laser,dedicated to research on laser particle acceleration and its applications.A control system based on Tango Controls is implemented for both the laser and four experimental areas.The device server approach features high modularity,which,in addition to the hardware control,enables a quick extension of the system and allows for automated data acquisition of the laser parameters and experimental data for each laser shot.In this paper we present an overview of our implementation of the control system,as well as our advances in terms of experimental operation,online supervision and data processing.We also give an outlook on advanced experimental supervision and online data evaluation–where the data can be processed in a pipeline–which is being developed on the basis of this infrastructure. | Nils Weiße Leonard Doyle Johannes Gebhard Felix Balling Florian Schweiger Florian Haberstroh Laura D.Geulig Jinpu Lin Faran Irshad Jannik Esslinger Sonja Gerlach Max Gilljohann Vignesh Vaidyanathan Dennis Siebert Andreas Münzer Gregor Schilling Jörg Schreiber Peter G.Thirolf Stefan Karsch Andreas Döpp | 2023 | High Power Laser Science and Engineering2023，11，4： | 0 |
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