JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
TY - CONF AU - Albright, S.C.P. AU - Grindheim, C.H. AU - Lasheen, A. AU - Lu, A.H.C. ED - Zimmermann, Frank ED - Tanaka, Hitoshi ED - Sudmuang, Porntip ED - Klysubun, Prapong ED - Sunwong, Prapaiwan ED - Chanwattana, Thakonwat ED - Petit-Jean-Genaz, Christine ED - Schaa, Volker R.W. TI - Recent Developments in Longitudinal Phase Space Tomography J2 - Proc. of IPAC2022, Bangkok, Thailand, 12-17 June 2022 CY - Bangkok, Thailand T2 - International Particle Accelerator Conference T3 - 13 LA - english AB - Longitudinal phase space tomography has been a mainstay of longitudinal beam diagnostics in most of the CERN synchrotrons for over two decades. Originally, the reconstructions were performed by a highly optimised Fortran implementation. To facilitate increased flexibility, and leveraging the significant increase in computing power since the original development, a new version of the reconstruction code has been developed. This implements an object-oriented Python API, with the computationally heavy calculations in C++ for improved performance. The Python/C++ implementation is designed to be highly modular, enabling new and diverse use cases. For example, the macro-particle tracking for the tomography can now be performed externally, or a single set of tracked particles can be reused for multiple reconstructions. This paper summarises the features of the new implementation, and some of the key applications that have been enabled as a result. PB - JACoW Publishing CP - Geneva, Switzerland SP - 347 EP - 350 KW - synchrotron KW - extraction KW - beam-diagnostic KW - booster KW - quadrupole DA - 2022/07 PY - 2022 SN - 2673-5490 SN - 978-3-95450-227-1 DO - doi:10.18429/JACoW-IPAC2022-MOPOPT043 UR - https://jacow.org/ipac2022/papers/mopopt043.pdf ER -