Keyword: real-time
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WEP034 Characterization of FEL Spectra Using Specific Figures of Merit FEL, background, free-electron-laser, software 388
 
  • M.A. Pop, F. Curbis
    MAX IV Laboratory, Lund University, Lund, Sweden
  • E. Allaria
    Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
  • F. Curbis
    SLF, Lund, Sweden
  
  By analyzing the spectral content of FEL electron radiation, we can gain new information about the properties of the electron bunch and on the FEL process itself. In this work, we present a peak detection algorithm and its capabilities in characterizing the spectra of seeded FEL.
This work is done in collaboration with FERMI Elettra-Sincrotrone Trieste, Area Science Park, Trieste, Italy 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-FEL2019-WEP034  
About • paper received ※ 20 August 2019       paper accepted ※ 25 August 2019       issue date ※ 05 November 2019  
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WEP081 Design and Development of High-Speed Data Acquisition System and Online Data Processing with a Heterogeneous FPGA/GPU Architecture FPGA, experiment, GPU, data-acquisition 510
 
  • M. Bawatna, J.-C. Deinert, O. Knodel, S. Kovalev
    HZDR, Dresden, Germany
  • R.G. Spallek
    Technische Universität Dresden, Dresden, Germany
  
  The superradiant THz sources at TELBE facility is based on the new class of accelerator-driven terahertz (THz) radiation sources that provide high repetition rates up to 13 MHz, and flexibility of tuning the THz pulse form. The THz pulses are used for the excitation of materials of interest, about two orders of magnitude higher than state-of-the-art tabletop sources. Time-resolved experiments can be performed with a time resolution down to 30 femtoseconds (fs) using the novel pulse-resolved Data Acquisition (DAQ) system. However, the increasing demands in improving the flexibility, data throughput, and speed of the DAQ systems motivate the integration of reconfigurable processing units close to the new detectors to accelerate the processing of tens of GigaBytes of data per second. In this paper, we introduce our online ultrafast DAQ system that uses a GPU platform for real-time image processing, and a custom high-performance FPGA board for interfacing the image sensors and provide a continuous data transfer.  
poster icon Poster WEP081 [0.830 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-FEL2019-WEP081  
About • paper received ※ 18 August 2019       paper accepted ※ 25 August 2019       issue date ※ 05 November 2019  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)