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RIS citation export for THP029: Towards Real-time Data Processing using FPGA Technology for High-speed Data Acquisition System at MHz Repetition Rates

TY  - CONF
AU  - Bawatna, M.
AU  - Arnold, A.
AU  - Deinert, J.-C.
AU  - Green, B.W.
AU  - Kovalev, S.
ED  - Michel, Peter
ED  - Arnold, André
ED  - Schaa, Volker RW
TI  - Towards Real-time Data Processing using FPGA Technology for High-speed Data Acquisition System at MHz Repetition Rates
J2  - Proc. of SRF2019, Dresden, Germany, 30 June-05 July 2019
CY  - Dresden, Germany
T2  - International Conference on RF Superconductivity
T3  - 19
LA  - english
AB  - Accelerator-based light sources, in particular, those based on linear accelerators, are intrinsically less stable than lasers or other more conventional light sources because of their large scale. In order to achieve optimal data quality, the properties of each light pulse need to be detected and implemented into the analysis of each experiment. Such schemes are of particular advantage in 4th generation light sources based on superconducting radiofrequency (SRF) technology, since here the combination of pulse-resolved detection schemes with high-repetition-rate is particularly fruitful. Implementation of several different purpose-built CMOS linear array detector will enable to perform arrival-time measurements at MHz repetition rates. An architecture based on FPGA technology will allow an online analysis of the measured data at MHz repetition rate and will decrease the amount of data throughput and disk capacity for storing the data by orders of magnitude. In this contribution, we will outline how the pulse-resolved data acquisition scheme of the TELBE user facility shall be upgraded to allow operation at MHz repetition rates and sub-femtosecond timing precision.
PB  - JACoW Publishing
CP  - Geneva, Switzerland
SP  - 905
EP  - 910
KW  - FPGA
KW  - detector
KW  - experiment
KW  - laser
KW  - electron
DA  - 2019/08
PY  - 2019
SN  - ""
SN  - 978-3-95450-211-0
DO  - doi:10.18429/JACoW-SRF2019-THP029
UR  - http://jacow.org/srf2019/papers/thp029.pdf
ER  -