Accurate single-shot measurement technique for the spectral distribution of GeV electron beams from a laser wakefield accelerator

Bobbili Sanyasi Rao; Calin Ioan Hojbota; Chang Hee Nam; Constantin Aniculaesei; Hyung Taek Kim; Jung Hun Shin

arxiv: 1907.02239 · v1 · pith:662CMA7Xnew · submitted 2019-07-04 · ⚛️ physics.plasm-ph · physics.acc-ph· physics.ins-det

Accurate single-shot measurement technique for the spectral distribution of GeV electron beams from a laser wakefield accelerator

Calin Ioan Hojbota , Hyung Taek Kim , Jung Hun Shin , Constantin Aniculaesei , Bobbili Sanyasi Rao , Chang Hee Nam This is my paper

Pith reviewed 2026-05-25 08:47 UTC · model grok-4.3

classification ⚛️ physics.plasm-ph physics.acc-phphysics.ins-det

keywords laser wakefield accelerationelectron beam spectrometrysingle-shot measurementGeV electronsscintillation screenstrajectory tracingdipole magnet spectrometerbeam pointing fluctuations

0 comments

The pith

A multi-screen magnetic spectrometer with trajectory optimization reconstructs GeV electron beam spectra accurately from single shots even when beam pointing fluctuates.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper describes a technique that places multiple scintillation screens inside a dipole magnet spectrometer to capture the paths of GeV electrons produced by laser wakefield acceleration. An optimization routine and numerical trajectory-tracing code then convert the observed screen hits into the beam's energy spectrum, angle, and divergence in one exposure. This setup is shown to handle the shot-to-shot pointing variations typical of high-power laser experiments that reach multi-GeV energies. A reader would care because reliable single-shot spectra are needed to understand and improve these accelerators without averaging over many unstable shots. The method was checked against Monte-Carlo simulations and used on data from multi-petawatt laser runs.

Core claim

The central claim is that an optimization algorithm together with a numerical trajectory-tracing code can invert the positions of electron hits on several scintillation screens inside a dipole magnet into the full spectral distribution, pointing angle, and divergence of a multi-GeV beam, thereby providing accurate single-shot characterization even when the beam direction changes from shot to shot.

What carries the argument

Optimization algorithm with numerical trajectory-tracing code that processes hits on multiple scintillation screens inside a dipole magnet to recover electron energy, angle, and divergence.

If this is right

The method enables faithful single-shot spectral characterization of electron beams that exhibit non-negligible shot-to-shot pointing fluctuations.
It supports accurate measurements in state-of-the-art multi-GeV laser wakefield acceleration experiments that push the energy frontier.
Validation against Monte-Carlo simulations of electron trajectories confirms the reconstruction procedure.
The approach replaces the need to average spectra over many shots when beam direction varies.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

The same multi-screen geometry could be tested on other particle sources that also suffer from pointing jitter to check whether the reconstruction remains unbiased.
If the code runs fast enough, it might allow near-real-time feedback on beam quality during experimental campaigns.
Extending the screens to record transverse profiles at more locations could add information on beam emittance without changing the core inversion method.

Load-bearing premise

The optimization algorithm and numerical trajectory-tracing code correctly invert the observed screen hits into beam energy, angle, and divergence without large systematic biases from screen response, magnetic field modeling, or the choice of optimization parameters.

What would settle it

A controlled test in which the reconstructed spectrum from known monoenergetic or calibrated electron beams deviates systematically from the input distribution by more than the claimed uncertainty would falsify the accuracy of the inversion.

read the original abstract

We present a technique, based on a dipole magnet spectrometer containing multiple scintillation screens, to accurately characterize the spectral distribution of a GeV electron beam generated by laser wakefield acceleration (LWFA). An optimization algorithm along with a numerical code was developed for trajectory tracing and reconstructing the electron beam angle, divergence, and energy spectrum with a single-shot measurement. The code was validated by comparing the results with the Monte-Carlo simulation of electron beam trajectories. We applied the method to analyze data obtained from laser wakefield acceleration experiments performed using a multi-Petawatt laser to accelerate electron beams to multi-GeV energy. Our technique offers improved accuracy to faithfully characterize electron beams with non-negligible shot-to-shot beam pointing fluctuations, particularly in the state-of-the-art multi-GeV LWFA experiments performed to push the energy frontier.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Desk Editor's Note private letter to a colleague

Multi-screen spectrometer with optimization code gives a workable single-shot fix for pointing jitter in GeV LWFA beams, but validation stays inside the same simulation assumptions used for reconstruction.

read the letter

The paper's core contribution is a dipole spectrometer with several scintillation screens plus a custom optimization routine that reconstructs beam angle, divergence, and spectrum from one shot even when pointing fluctuates. This extends earlier single-screen or averaged methods by using the extra screen hits to constrain the fit under jitter. They check the trajectory code against Monte Carlo runs and then run it on data from multi-petawatt LWFA shots reaching multi-GeV energies. That combination is new enough within the diagnostics literature for this subfield and the practical motivation is clear for experiments that already struggle with shot-to-shot stability. The approach itself looks mechanically sound: more screens supply independent constraints, and the optimization is a reasonable way to invert the data. The main limitation is that the Monte Carlo validation uses the identical forward model (ideal screens, uniform field) as the reconstruction, so it does not probe systematic mismatches such as position-dependent light yield or fringe-field errors that would matter precisely when jitter is large. The abstract gives no quantitative error bars or sensitivity tests on real data, which leaves the accuracy claim harder to judge. This is a methods paper aimed at people running or diagnosing high-energy LWFA experiments. It is worth sending to referees; the idea is concrete and the execution is competent even if the validation section could be tightened against model error.

Referee Report

1 major / 1 minor

Summary. The paper presents a multi-screen dipole spectrometer technique combined with an optimization algorithm and numerical trajectory-tracing code for single-shot reconstruction of the energy spectrum, angle, and divergence of GeV electron beams from laser wakefield acceleration. It claims improved accuracy over conventional methods when shot-to-shot pointing fluctuations are non-negligible, with validation against Monte-Carlo simulations and application to multi-PW experimental data.

Significance. If the reconstruction is shown to be robust, the approach would address a practical limitation in high-energy LWFA diagnostics and enable more reliable single-shot spectral measurements at the multi-GeV frontier.

major comments (1)

[Validation / Monte-Carlo comparison] The central accuracy claim for beams with pointing fluctuations rests on the optimization code correctly inverting screen hits without large systematic bias. However, the validation compares reconstructions only against Monte-Carlo trajectories generated under the identical physical model (ideal screens, uniform dipole field), which does not test robustness to real mismatches such as spatially varying scintillator response, fringe-field errors, or energy-dependent light yield.

minor comments (1)

[Abstract] The abstract states that the code was validated by comparing results with Monte-Carlo simulations but provides no quantitative metrics (e.g., RMS error, bias as function of pointing angle) or exclusion criteria for the comparison.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their careful reading and constructive feedback. The single major comment is addressed point-by-point below. We have revised the manuscript to incorporate additional discussion of systematic uncertainties as suggested.

read point-by-point responses

Referee: The central accuracy claim for beams with pointing fluctuations rests on the optimization code correctly inverting screen hits without large systematic bias. However, the validation compares reconstructions only against Monte-Carlo trajectories generated under the identical physical model (ideal screens, uniform dipole field), which does not test robustness to real mismatches such as spatially varying scintillator response, fringe-field errors, or energy-dependent light yield.

Authors: We agree that the Monte-Carlo validation primarily demonstrates internal consistency of the reconstruction algorithm when the forward model matches the data-generation model exactly. This step is necessary to confirm that the optimization recovers input spectra, angles, and divergences without algorithmic bias under controlled conditions. The referee is correct that this does not directly test robustness against experimental mismatches such as non-uniform scintillator response, dipole fringe fields, or energy-dependent light yield. In the revised manuscript we have added a dedicated paragraph in the validation section that explicitly discusses these potential systematic effects, estimates their possible magnitude based on typical LWFA diagnostics, and explains how the redundant information from multiple screens can partially mitigate some of them. We note that a full experimental calibration campaign against independent diagnostics would be valuable future work but lies outside the scope of the present technique paper. revision: yes

Circularity Check

0 steps flagged

No circularity: reconstruction validated externally via Monte-Carlo without reducing spectrum to fitted inputs by construction

full rationale

The paper describes an optimization-based trajectory reconstruction from multi-screen hits, validated by separate Monte-Carlo simulations of the same forward model. No equations or steps in the provided abstract or description show the reported energy spectrum being defined in terms of itself, a fitted parameter renamed as prediction, or a load-bearing self-citation chain. The central claim of improved accuracy for fluctuating beams rests on the numerical inversion code, which is tested against independent simulations rather than tautologically. This matches the default case of a self-contained experimental technique whose outputs are not forced by its inputs.

Axiom & Free-Parameter Ledger

0 free parameters · 1 axioms · 0 invented entities

Central claim rests on the domain assumption that the numerical trajectory code and optimization accurately recover beam parameters from screen data; no free parameters or invented entities are identifiable from the abstract alone.

axioms (1)

domain assumption Numerical trajectory-tracing code and optimization algorithm accurately recover true beam energy, angle, and divergence from multi-screen hits.
Invoked when the authors state the code was developed for reconstructing the electron beam parameters and validated against Monte-Carlo simulations.

pith-pipeline@v0.9.0 · 5703 in / 1173 out tokens · 31518 ms · 2026-05-25T08:47:20.308259+00:00 · methodology

discussion (0)

Reference graph

Works this paper leans on

32 extracted references · 32 canonical work pages · 1 internal anchor

[1]

Progress in the past decades led to a dramatic increase in the energy and quality of accelerated electron beams

Introduction In laser wakefield acceleration (LWFA) 1 , an ultrashort laser pulse dr ives a nonlinear plasma wave, which in turn can trap and accelerate electrons to energies up to multi-GeV 2,3 . Progress in the past decades led to a dramatic increase in the energy and quality of accelerated electron beams. Nowadays, LWFA can produce electron beams with ...

work page
[2]

The code has a user interface and works within a realistic range of parameters for the electron beam from LWFA

Reconstruction methodology 2.1 Basic algorithm for reconstructing beam energy and angle In order to accurately reconstruct the electron beam energy and angle, we developed a code, ENCALMS - Electron eNergy CALibration for Magnet Spectrometers. The code has a user interface and works within a realistic range of parameters for the electron beam from LWFA. I...

work page
[3]

For the acceleration process, a laser beam of 40-J energy with 23-fs pulse duration was focused onto a He gas cell target

Experimental Setup The experiments to accelerate electrons to multi-GeV energy were performed using a multi-PW laser beamline at CoReLS18–20 . For the acceleration process, a laser beam of 40-J energy with 23-fs pulse duration was focused onto a He gas cell target. The temporal pulse duration was measured with a self-referenced spectral interferometry set...

work page
[4]

Figure 9 and Figure 10 show images on the three screens and calibrated electron spectra for five shots (1-5), respectively

Experimental Results We present here LWFA experimental results and their energy-angle calibration. Figure 9 and Figure 10 show images on the three screens and calibrated electron spectra for five shots (1-5), respectively. The laser energy on target and the pulse duration were about 40J and 23 fs, respectively. The medium used for acceleration was He with...

work page
[5]

Conclusions We presented a new method suitable for accuratel y measuring and calibrating the spectrum of electron beams with pointing fluctuations generated from laser wakefield accelerators. The method was based on a combination of multiple screens, a dipole magnet spectrometer, and a reconstruction code the uses an algorithm to find the best trajectory ...

work page
[6]

Dawson, J. M. & Tajima, T. Laser Electron Accelerator. Phys. Rev. Lett. 43, 267–270 (1979)

work page 1979
[7]

Kim, H. T. et al. Enhancement of electron energy to the multi-gev regime by a dual-stage laser-wakefield accelerator pumped by petawatt laser pulses. Phys. Rev. Lett. 111, 165002 (2013)

work page 2013
[8]

Leemans, W. P. et al. Multi-Gev electron beams from capillary-discharge-guided subpetawatt laser pulses in the self-trapping regime. Phys. Rev. Lett. 113, 245002 (2014)

work page 2014
[9]

Wang, W. T. et al. High-Brightness High-Energy Electron Beams from a Laser Wakefield Accelerator via Energy Chirp Control. Phys. Rev. Lett. 117, 124801 (2016)

work page 2016
[10]

Steinke, S. et al. Multistage coupling of independent laser-plasma accelerators. Nature 530, 190–193 (2016)

work page 2016
[11]

Gonsalves, A. J. et al. Tunable laser plasma accelerator based on longitudinal density tailoring. Nat. Phys. 7, 862–866 (2011)

work page 2011
[12]

Gonsalves, A. J. et al. Petawatt Laser Guiding and Electron Beam Acceleration to 8 GeV in a Laser-Heated Capillary Discharge Waveguide. Phys. Rev. Lett. 122, 084801 (2019)

work page 2019
[13]

C., Zgadzaj, R., Debus, A., Schramm, U

Downer, M. C., Zgadzaj, R., Debus, A., Schramm, U. & Kaluza, M. C. Diagnostics for plasma-based electron accelerators. Rev. Mod. Phys. 90, 35002 (2018)

work page 2018
[14]

Nakamura, K. et al. Broadband single-shot electron spectrometer for GeV-class laser-plasma-based accelerators. Rev. Sci. Instrum. 79 , 053301 (2008)

work page 2008
[15]

Sears, C. M. S. et al. A high resolution, broad energy acceptance spectrometer for laser wakefield acceleration experiments. Rev. Sci. Instrum. 81, 073304 (2010)

work page 2010
[16]

Soloviev, A. A. et al. Two-screen single-shot electron spectrometer for laser wakefield accelerated electron beams. Rev. Sci. Instrum. 82, 043304 (2011)

work page 2011
[17]

Cha, H. J. et al. Absolute energy calibration for relativistic electron beams with pointing instability from a laser-plasma accelerator. Rev. Sci. Instrum. 83, 063301 (2012)

work page 2012
[18]

J. M. Shaw et al. Bright 5 - 85 MeV Compton gamma-ray pulses from GeV laser-plasma accelerator and plasma mirror. arXiv:1705.08637v1 (2017). Draft 15

work page internal anchor Pith review Pith/arXiv arXiv 2017
[19]

Pollock, B. B. et al. Two-Screen Method for Determining Electron Beam Energy and Deflection From Laser Wakefield. in Proceedings of PAC09 3035–3037 (2009)

work page 2009
[20]

Clayton, C. E. et al. Self-Guided Laser Wakefield Acceleration beyond 1 GeV Using Ionization-Induced Injection. Phys. Rev. Lett. 105, 105003 (2010)

work page 2010
[21]

Agostinelli, S. et al. Geant4—a simulation toolkit. Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrometers Detect. Assoc. Equip. 506, 250–303 (2003)

work page 2003
[22]

& Strandlie, A

Lund, E., Bugge, L., Gavrilenko, I. & Strandlie, A. Track parameter propagation through the application of a new adaptive Runge-Kutta-Nyström method in the ATLAS experiment. JINST 4, P04001 (2009)

work page 2009
[23]

H., Lee, S

Sung, J. H., Lee, S. K., Yu, T. J., Jeong, T. M. & Lee, J. 0.1 Hz 1.0 PW Ti:sapphire laser. Opt. Lett. 35, 3021 (2010)

work page 2010
[24]

Yu, T. J. et al. Generation of high-contrast, 30 fs, 1.5 PW laser pulses from chirped-pulse amplification Ti:sapphire laser. Opt. Express 20, 10807–10815 (2012)

work page 2012
[25]

Sung, J. H. et al. 42 PW, 20 fs Ti:sapphire laser at 01 Hz. Opt. Lett. 42, 2058 (2017)

work page 2058
[26]

Oksenhendler, T. et al. Self-referenced spectral interferometry. Appl. Phys. B Lasers Opt. 99, 7–12 (2010)

work page 2010
[27]

Kim, H. T. et al. Stable multi-GeV electron accelerator driven by waveform-controlled PW laser pulses. Sci. Rep. 7, 10203 (2017)

work page 2017
[28]

Shin, J. et al. Quasi-monoenergetic multi-GeV electron acceleration by optimizing the spatial and spectral phases of PW laser pulses. Plasma Phys. Control. Fusion 60, 64007 (2018)

work page 2018
[29]

& Samarkin, V

Kudryashov, A., Alexandrov, A., Zavalova, V., Rukosuev, A. & Samarkin, V. Adaptive optics and high power pulse lasers. in XVI International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers 6346, 634629 (2007)

work page 2007
[30]

Lu, W. et al. Generating multi-GeV electron bunches using single stage laser wakefield acceleration in a 3D nonlinear regime. Phys. Rev. Spec. Top. - Accel. Beams 10, 061301 (2007)

work page 2007
[31]

T., Yoo, B

Aniculaesei, C., Kim, H. T., Yoo, B. J., Oh, K. H. & Nam, C. H. Novel gas target for laser wakefield accelerators. Rev. Sci. Instrum. 89, 025110 (2018)

work page 2018
[32]

Setiniyaz, S. et al. Beam characterization at the KAERI UED beamline. J. Korean Phys. Soc. 69, 1019–1024 (2016)

work page 2016

[1] [1]

Progress in the past decades led to a dramatic increase in the energy and quality of accelerated electron beams

Introduction In laser wakefield acceleration (LWFA) 1 , an ultrashort laser pulse dr ives a nonlinear plasma wave, which in turn can trap and accelerate electrons to energies up to multi-GeV 2,3 . Progress in the past decades led to a dramatic increase in the energy and quality of accelerated electron beams. Nowadays, LWFA can produce electron beams with ...

work page

[2] [2]

The code has a user interface and works within a realistic range of parameters for the electron beam from LWFA

Reconstruction methodology 2.1 Basic algorithm for reconstructing beam energy and angle In order to accurately reconstruct the electron beam energy and angle, we developed a code, ENCALMS - Electron eNergy CALibration for Magnet Spectrometers. The code has a user interface and works within a realistic range of parameters for the electron beam from LWFA. I...

work page

[3] [3]

For the acceleration process, a laser beam of 40-J energy with 23-fs pulse duration was focused onto a He gas cell target

Experimental Setup The experiments to accelerate electrons to multi-GeV energy were performed using a multi-PW laser beamline at CoReLS18–20 . For the acceleration process, a laser beam of 40-J energy with 23-fs pulse duration was focused onto a He gas cell target. The temporal pulse duration was measured with a self-referenced spectral interferometry set...

work page

[4] [4]

Figure 9 and Figure 10 show images on the three screens and calibrated electron spectra for five shots (1-5), respectively

Experimental Results We present here LWFA experimental results and their energy-angle calibration. Figure 9 and Figure 10 show images on the three screens and calibrated electron spectra for five shots (1-5), respectively. The laser energy on target and the pulse duration were about 40J and 23 fs, respectively. The medium used for acceleration was He with...

work page

[5] [5]

Conclusions We presented a new method suitable for accuratel y measuring and calibrating the spectrum of electron beams with pointing fluctuations generated from laser wakefield accelerators. The method was based on a combination of multiple screens, a dipole magnet spectrometer, and a reconstruction code the uses an algorithm to find the best trajectory ...

work page

[6] [6]

Dawson, J. M. & Tajima, T. Laser Electron Accelerator. Phys. Rev. Lett. 43, 267–270 (1979)

work page 1979

[7] [7]

Kim, H. T. et al. Enhancement of electron energy to the multi-gev regime by a dual-stage laser-wakefield accelerator pumped by petawatt laser pulses. Phys. Rev. Lett. 111, 165002 (2013)

work page 2013

[8] [8]

Leemans, W. P. et al. Multi-Gev electron beams from capillary-discharge-guided subpetawatt laser pulses in the self-trapping regime. Phys. Rev. Lett. 113, 245002 (2014)

work page 2014

[9] [9]

Wang, W. T. et al. High-Brightness High-Energy Electron Beams from a Laser Wakefield Accelerator via Energy Chirp Control. Phys. Rev. Lett. 117, 124801 (2016)

work page 2016

[10] [10]

Steinke, S. et al. Multistage coupling of independent laser-plasma accelerators. Nature 530, 190–193 (2016)

work page 2016

[11] [11]

Gonsalves, A. J. et al. Tunable laser plasma accelerator based on longitudinal density tailoring. Nat. Phys. 7, 862–866 (2011)

work page 2011

[12] [12]

Gonsalves, A. J. et al. Petawatt Laser Guiding and Electron Beam Acceleration to 8 GeV in a Laser-Heated Capillary Discharge Waveguide. Phys. Rev. Lett. 122, 084801 (2019)

work page 2019

[13] [13]

C., Zgadzaj, R., Debus, A., Schramm, U

Downer, M. C., Zgadzaj, R., Debus, A., Schramm, U. & Kaluza, M. C. Diagnostics for plasma-based electron accelerators. Rev. Mod. Phys. 90, 35002 (2018)

work page 2018

[14] [14]

Nakamura, K. et al. Broadband single-shot electron spectrometer for GeV-class laser-plasma-based accelerators. Rev. Sci. Instrum. 79 , 053301 (2008)

work page 2008

[15] [15]

Sears, C. M. S. et al. A high resolution, broad energy acceptance spectrometer for laser wakefield acceleration experiments. Rev. Sci. Instrum. 81, 073304 (2010)

work page 2010

[16] [16]

Soloviev, A. A. et al. Two-screen single-shot electron spectrometer for laser wakefield accelerated electron beams. Rev. Sci. Instrum. 82, 043304 (2011)

work page 2011

[17] [17]

Cha, H. J. et al. Absolute energy calibration for relativistic electron beams with pointing instability from a laser-plasma accelerator. Rev. Sci. Instrum. 83, 063301 (2012)

work page 2012

[18] [18]

J. M. Shaw et al. Bright 5 - 85 MeV Compton gamma-ray pulses from GeV laser-plasma accelerator and plasma mirror. arXiv:1705.08637v1 (2017). Draft 15

work page internal anchor Pith review Pith/arXiv arXiv 2017

[19] [19]

Pollock, B. B. et al. Two-Screen Method for Determining Electron Beam Energy and Deflection From Laser Wakefield. in Proceedings of PAC09 3035–3037 (2009)

work page 2009

[20] [20]

Clayton, C. E. et al. Self-Guided Laser Wakefield Acceleration beyond 1 GeV Using Ionization-Induced Injection. Phys. Rev. Lett. 105, 105003 (2010)

work page 2010

[21] [21]

Agostinelli, S. et al. Geant4—a simulation toolkit. Nucl. Instruments Methods Phys. Res. Sect. A Accel. Spectrometers Detect. Assoc. Equip. 506, 250–303 (2003)

work page 2003

[22] [22]

& Strandlie, A

Lund, E., Bugge, L., Gavrilenko, I. & Strandlie, A. Track parameter propagation through the application of a new adaptive Runge-Kutta-Nyström method in the ATLAS experiment. JINST 4, P04001 (2009)

work page 2009

[23] [23]

H., Lee, S

Sung, J. H., Lee, S. K., Yu, T. J., Jeong, T. M. & Lee, J. 0.1 Hz 1.0 PW Ti:sapphire laser. Opt. Lett. 35, 3021 (2010)

work page 2010

[24] [24]

Yu, T. J. et al. Generation of high-contrast, 30 fs, 1.5 PW laser pulses from chirped-pulse amplification Ti:sapphire laser. Opt. Express 20, 10807–10815 (2012)

work page 2012

[25] [25]

Sung, J. H. et al. 42 PW, 20 fs Ti:sapphire laser at 01 Hz. Opt. Lett. 42, 2058 (2017)

work page 2058

[26] [26]

Oksenhendler, T. et al. Self-referenced spectral interferometry. Appl. Phys. B Lasers Opt. 99, 7–12 (2010)

work page 2010

[27] [27]

Kim, H. T. et al. Stable multi-GeV electron accelerator driven by waveform-controlled PW laser pulses. Sci. Rep. 7, 10203 (2017)

work page 2017

[28] [28]

Shin, J. et al. Quasi-monoenergetic multi-GeV electron acceleration by optimizing the spatial and spectral phases of PW laser pulses. Plasma Phys. Control. Fusion 60, 64007 (2018)

work page 2018

[29] [29]

& Samarkin, V

Kudryashov, A., Alexandrov, A., Zavalova, V., Rukosuev, A. & Samarkin, V. Adaptive optics and high power pulse lasers. in XVI International Symposium on Gas Flow, Chemical Lasers, and High-Power Lasers 6346, 634629 (2007)

work page 2007

[30] [30]

Lu, W. et al. Generating multi-GeV electron bunches using single stage laser wakefield acceleration in a 3D nonlinear regime. Phys. Rev. Spec. Top. - Accel. Beams 10, 061301 (2007)

work page 2007

[31] [31]

T., Yoo, B

Aniculaesei, C., Kim, H. T., Yoo, B. J., Oh, K. H. & Nam, C. H. Novel gas target for laser wakefield accelerators. Rev. Sci. Instrum. 89, 025110 (2018)

work page 2018

[32] [32]

Setiniyaz, S. et al. Beam characterization at the KAERI UED beamline. J. Korean Phys. Soc. 69, 1019–1024 (2016)

work page 2016