|
M. M. Patil et al., “Ultra-Fast Line-Camera KALYPSO for fs-Laser-Based Electron Beam Diagnostics”, in Proc. 10th Int. Beam Instrumentation Conf. (IBIC'21), Pohang, Korea, Sep. 2021, pp. 1-6. |
|
M. Noll et al., “Implementing bunch-by-bunch diagnostics at the KARA booster synchrotron”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper SUPG049, this conference. |
|
M. Noll et al., “Implementing bunch-by-bunch diagnostics at the KARA booster synchrotron”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG59, this conference. |
|
M. Patil et al., “Electro-optical spectral decoding of THz pulses at MHz repetition rates”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG54, this conference. |
|
M. Patil et al., “Performance evaluation of InGaAs and silicon based micro-strip detector systems for electro-optic based electron bunch diagnostics”, presented at the 15th Int. Particle Accelerator Conf. (IPAC'24), Nashville, TN, USA, May 2024, paper WEPG57, this conference. |
|
M. Patil et al., “Status and upgrade of the visible light diagnostics port for energy spread measurements at KARA”, in Proc. 14th Int. Particle Accelerator Conf. (IPAC'23), Venice, Italy, May 2023, paper THPL123, pp. 4764-4767. |
|
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. |
|
O. Manzhura et al., “Terahertz Sampling Rates with Photonic Time-Stretch for Electron Beam Diagnostics”, in Proc. 13th Int. Particle Accelerator Conf. (IPAC'22), Bangkok, Thailand, Jun. 2022, pp. 263-266. |
|
P. Sch?â 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. |
|
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. |
