Fundamentals and Applications of Hybrid LWFA-PWFA

Hidding, B.; Beaton, Andrew; Boulton, Lewis; Corde, S.; Doepp, Andreas; Habib, A. F.; Heinemann, Thomas; Irman, Arie; Karsch, Stefan; Kirwan, Gavin; Knetsch, A.; Manahan, Grace; Ossa, A. Martínez de la; Nutter, Alastair; Scherkl, Paul; Schramm, U.; Ullmann, Daniel

doi:10.1007/978-3-030-25850-4_5

Cited by 4 publications

(5 citation statements)

References 35 publications

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“…The plasma photocathode-based X-FEL thrust is currently investigated in the PWFA-FEL [97] design effort as a UK-US collaboration. A most recent study showcases the prospects of exploiting ultrabright electron beams from plasma photocathodes for attosecond-Angstrom class X-FELs in an ultracompact setup.…”

Section: Discussionmentioning

confidence: 99%

Plasma Photocathodes

Habib,

Heinemann,

Manahan

et al. 2023

Annalen der Physik

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Plasma wakefield accelerators offer accelerating and focusing electric fields three to four orders of magnitude larger than state‐of‐the‐art radiofrequency cavity‐based accelerators. Plasma photocathodes can release ultracold electron populations within such plasma waves and thus open a path toward tunable production of well‐defined, compact electron beams with normalized emittance and brightness many orders of magnitude better than state‐of‐the‐art. Such beams will have far‐reaching impact for applications such as light sources, but also open up new vistas on high energy and high field physics. This paper reviews the innovation of plasma photocathodes, and reports on the experimental progress, challenges, and future prospects of the approach. Details of the proof‐of‐concept demonstration of a plasma photocathode in 90° geometry at SLAC FACET within the E‐210: Trojan Horse program are described. Using this experience, alongside theoretical and simulation‐supported advances, an outlook is given on future realizations of plasma photocathodes such as the upcoming E‐310: Trojan Horse‐II program at FACET‐II with prospects toward excellent witness beam parameter quality, tunability, and stability. Future installations of plasma photocathodes also at compact, hybrid plasma wakefield accelerators, will then boost capacities and open up novel capabilities for experiments at the forefront of interaction of high brightness electron and photon beams.

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Section: Discussionmentioning

confidence: 99%

Plasma Photocathodes

Habib,

Heinemann,

Manahan

et al. 2023

Annalen der Physik

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“…Plasma waves excited by a laser-driven electron beam in a hybrid plasma accelerator are diagnosed. A hybrid plasma accelerator utilizes the dense, high current electron bunch produced by a laser-wakefield accelerator to drive the plasma wave for a plasma-wakefield acceleration (PWFA) [19,28,29] . Unlike in PWFA driven by electron bunches from conventional RF accelerators, the plasma density in a hybrid accelerator is higher, typically ∼ 10 18 cm −3 , which makes it possible for shadowgraphy using few-cycle optical probes [18][19][20] .…”

Section: Few-cycle Shadowgraphy Of Plasma Wavesmentioning

confidence: 99%

Applications of object detection networks in high-power laser systems and experiments

Lin

Haberstroh²,

Karsch³

et al. 2023

High Pow Laser Sci Eng

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The recent advent of deep artificial neural networks has resulted in a dramatic increase in performance for object classification and detection. While pre-trained with everyday objects, we find that a state-of-the-art object detection architecture can very efficiently be fine-tuned to work on a variety of object detection tasks in a high-power laser laboratory. In this manuscript, three exemplary applications are presented. We show that the plasma waves in a laserplasma accelerator can be detected and located on the optical shadowgrams. The plasma wavelength and plasma density are estimated accordingly. Furthermore, we present the detection of all the peaks in an electron energy spectrum of the accelerated electron beam, and the beam charge of each peak is estimated accordingly. Lastly, we demonstrate the detection of optical damage in a high-power laser system. The reliability of the object detector is demonstrated over one thousand laser shots in each application. Our study shows that deep object detection networks are suitable to assist online and offline experiment analysis, even with small training sets. We believe that the presented methodology is adaptable yet robust, and we encourage further applications in Hz-level or KHz-level high-power laser facilities regarding the control and diagnostic tools, especially for those involving image data.

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“…Plasma waves excited by a laser-driven electron beam in a hybrid plasma accelerator are diagnosed. A hybrid plasma accelerator utilizes the dense, high current electron bunch produced by a laser-wakefield accelerator to drive the plasma wave for a plasma-wakefield acceleration (PWFA) [18,27,28] . Unlike in PWFA driven by electron bunches from conventional RF accelerators, the plasma density in a hybrid accelerator is higher, typically ∼ 10 18 cm −3 , which makes it possible for shadowgraphy using few-cycle optical probes [17][18][19] .…”

Section: Few-cycle Shadowgraphy Of Plasma Wavesmentioning

confidence: 99%

Applications of object detection networks at high-power laser systems and experiments

Lin¹,

Haberstroh²,

Karsch³

et al. 2022

Preprint

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The recent advent of deep artificial neural networks has resulted in a dramatic increase in performance for object classification and detection. While pre-trained with everyday objects, we find that a state-of-the-art object detection architecture can very efficiently be fine-tuned to work on a variety of object detection tasks in a high-power laser laboratory. In this manuscript, three exemplary applications are presented. We show that the plasma waves in a laserplasma accelerator can be detected and located on the optical shadowgrams. The plasma wavelength and plasma density are estimated accordingly. Furthermore, we present the detection of all the peaks in an electron energy spectrum of the accelerated electron beam, and the beam charge of each peak is estimated accordingly. Lastly, we demonstrate the detection of optical damage in a high-power laser system. The reliability of the object detector is demonstrated over one thousand laser shots in each application. Our study shows that deep object detection networks are suitable to assist online and offline experiment analysis, even with small training sets. We believe that the presented methodology is adaptable yet robust, and we encourage further applications in high-power laser facilities regarding the control and diagnostic tools, especially for those involving image data.

show abstract

Fundamentals and Applications of Hybrid LWFA-PWFA

Cited by 4 publications

References 35 publications

Plasma Photocathodes

Plasma Photocathodes

Applications of object detection networks in high-power laser systems and experiments

Applications of object detection networks at high-power laser systems and experiments

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