Browsing CLF Datasets by Author "Armstrong, C. D"
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- Data associated with the manuscript titled “Towards terawatt-scale spectrally-tunable terahertz pulses via relativistic laser-foil interactions”(2020-07) Liao, Guoqian; Liu, Hao; Scott, Graeme; Zhang, Yihang; Zhu, Bao-Jun; Zhang, Zhe; Li, Yutong; Armstrong, C. D.; Zemaityte, Egle; Bradford, Philip; Rusby, Dean; Neely, David; Huggard, Peter; McKenna, Paul; Brenner, Ceri; Woolsey, Nigel; Wang, Wei-Min; Sheng, Zheng-Ming; Zhang, JieThis dataset includes experimental and numerical data from the manuscript 'Towards terawatt-scale spectrally-tunable terahertz pulses via relativistic laser-foil interactions'. The experimental data are obtained in the experiment titled “Intense terahertz radiation from picosecond laser-produced plasmas” (Application No.: 16110035, PI: David Neely), performed at Vulcan TAW. In this experiment, we demonstrate efficient production of terawatt (TW)-level THz pulses from high-intensity picosecond laser-foil interactions, and find the THz spectrum can be manipulated effectively by tuning the laser pulse duration or target size. A general analytical framework for THz generation is developed involving both the high-current electron emission and a time-varying electron sheath at the target rear, and the spectral tunability is found to stem from the change of the dominant THz generation mechanism. The THz radiation is applied to quantitatively diagnose the electron emission and the transient sheath, in good agreements with experimental measurements. Please see the file named “Data description” in the root directory of the attached zip file for a detailed description of the data contained therein. The data acquisition and analysis methods can also be found in the manuscript.
- Datasets and figures exploring x-ray imaging performance analytically for manuscript titled: "X-ray detector requirements for laser-plasma accelerators"(2023-12) Armstrong, C. DData used in each figure for the manuscript titled: "X-ray detector requirements for laser-plasma accelerators". Figure files are each self contained .py scripts requiring Python version 3.8.5+, and standard scientific libraries Numpy, Matplotlib and Scipy to execute the scripts. Relevant cross-section/spectral data is included for persistent plotting as well as analytical functions described in the manuscript.
- Input paramters and synthetic data for x-ray spectra deconvolution from linear absorption spectrometer via analytically reduced minimisation routine(2021) Armstrong, C. D; Neely, D.; McKenna, P.; Gray, R. J.; Pirozhkov, A. S.; Kumar, D.The data associated with this paper is as follows; the input parameters used to benchmark the analysis routine, the code necessary to generate this input spectra and the reconstructed parameters from which the analysis routine is benchmarked and the mathematica notebook outlining the derivation of the reconstruction equations. The core analysis routine is not provided. The readme for each file is included as a file and contains detailed information on python libraries used for the code, and the necessary program from running the mathematica notebook.