| Article | |
| Title | Kalman filter-based longitudinal phase-space reconstruction method for hadron machines |
| Author(s) | Alves, Diogo (CERN) ; Lasocha, Kacper (CERN) |
| Publication | 2021 |
| Number of pages | 9 |
| In: | Phys. Rev. Accel. Beams 24 (2021) 072801 |
| DOI | 10.1103/PhysRevAccelBeams.24.072801 (publication) |
| Subject category | Accelerators and Storage Rings |
| Accelerator/Facility, Experiment | CERN LHC |
| Abstract | This work proposes a novel longitudinal phase-space reconstruction method for hadron machines. The proposed method is based on a Kalman filter and can therefore provide real-time estimates of the phase-space reconstruction. The main input for the method is real-time measurements of the longitudinal bunch profile. Beam conditions in the LHC are used throughout this work as examples of the applicability and practical implementation of such a method. Longitudinal phase-space reconstructions obtained with the proposed method are compared with a tomographic-based technique using experimentally logged data from the LHC wall current monitors. |
| Copyright/License | publication: © 2021-2024 authors (License: CC BY 4.0) |
Corresponding record in: Inspire
Записът е създаден на 2021-07-22, последна промяна на 2021-07-22
