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Author: M. Caselle


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Reference
G. Niehues et al., “High Repetition Rate, Single-Shot Electro-Optical Monitoring of Longitudinal Electron Bunch Dynamics Using the Linear Array Detector KALYPSO”, in Proc. 9th Int. Particle Accelerator Conf. (IPAC'18), Vancouver, Canada, Apr.-May 2018, pp. 2216-2218.
P. Schà et al., “Towards Near-Field Electro-Optical Bunch Profile Monitoring in a Multi-Bunch Environment”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 227-230.
J. L. Steinmann et al., “4-Channel Single Shot and Turn-by-Turn Spectral Measurements of Bursting CSR”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 231-234.
M. Brosi et al., “Studies of the Micro-Bunching Instability in Multi-Bunch Operation at the ANKA Storage Ring”, in Proc. 8th Int. Particle Accelerator Conf. (IPAC'17), Copenhagen, Denmark, May 2017, pp. 3645-3648.
M. Vogelgesang et al., “A Heterogeneous FPGA/GPU Architecture for Real-Time Data Analysis and Fast Feedback Systems”, in Proc. 5th Int. Beam Instrumentation Conf. (IBIC'16), Barcelona, Spain, Sep. 2016, pp. 626-629.
L. Rota et al., “KALYPSO: A Mfps Linear Array Detector for Visible to NIR Radiation”, in Proc. 5th Int. Beam Instrumentation Conf. (IBIC'16), Barcelona, Spain, Sep. 2016, pp. 740-743.
M. Caselle et al., “Single-Shot Longitudinal Beam Profile and Terahertz Diagnostics at MHz - Towards GHz-Rates with High-Throughput Electronics”, in Proc. 6th Int. Beam Instrumentation Conf. (IBIC'17), Grand Rapids, MI, USA, Aug. 2017, pp. 136-140.
J. L. Steinmann et al., “Turn-by-Turn Measurements for Systematic Investigations of the Micro-Bunching Instability”, in Proc. 60th ICFA Advanced Beam Dynamics Workshop on Future Light Sources (FLS'18), Shanghai, China, Mar. 2018, pp. 46-51.
W. Mexner et al., “New Collaborative Approach to Scientific Data Management with NOVA”, in Proc. 12th International Workshop on Personal Computers and Particle Accelerator Controls (PCaPAC'18), Hsinchu City, Taiwan, Oct. 2018, pp. 224-227.
T. Boltz et al., “Accelerating Machine Learning for Machine Physics (an AMALEA-project at KIT)”, in Proc. 17th Int. Conf. on Accelerator and Large Experimental Physics Control Systems (ICALEPCS'19), New York, NY, USA, Oct. 2019, pp. 782.


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