Kalman filter-based longitudinal phase-space reconstruction method for hadron machines

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...

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Detalles Bibliográficos
Autores principales: Alves, Diogo, Lasocha, Kacper
Lenguaje:eng
Publicado: 2021
Materias:
Accelerators and Storage Rings
Acceso en línea:https://dx.doi.org/10.1103/PhysRevAccelBeams.24.072801
http://cds.cern.ch/record/2776597
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author Alves, Diogo
Lasocha, Kacper
author_facet Alves, Diogo
Lasocha, Kacper
author_sort Alves, Diogo
collection CERN
description 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.
id cern-2776597
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2021
record_format invenio
spelling cern-27765972021-07-22T19:30:33Zdoi:10.1103/PhysRevAccelBeams.24.072801http://cds.cern.ch/record/2776597engAlves, DiogoLasocha, KacperKalman filter-based longitudinal phase-space reconstruction method for hadron machinesAccelerators and Storage RingsThis 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.oai:cds.cern.ch:27765972021
spellingShingle Accelerators and Storage Rings
Alves, Diogo
Lasocha, Kacper
Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title_full Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title_fullStr Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title_full_unstemmed Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title_short Kalman filter-based longitudinal phase-space reconstruction method for hadron machines
title_sort kalman filter-based longitudinal phase-space reconstruction method for hadron machines
topic Accelerators and Storage Rings
url https://dx.doi.org/10.1103/PhysRevAccelBeams.24.072801
http://cds.cern.ch/record/2776597
work_keys_str_mv AT alvesdiogo kalmanfilterbasedlongitudinalphasespacereconstructionmethodforhadronmachines
AT lasochakacper kalmanfilterbasedlongitudinalphasespacereconstructionmethodforhadronmachines

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