Cargando…
Code bench-marking for long-term tracking and adaptive algorithms
At CERN we have ramped up a program to investigate space charge effects in the LHC pre-injectors with high brightness beams and long storage times. This in view of the LIU upgrade project for these accelerators. These studies require massive simulation over large number of turns. To this end we have...
Autores principales: | , , , , , , , , , , |
---|---|
Lenguaje: | eng |
Publicado: |
2016
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.18429/JACoW-HB2016-WEAM1X01 http://cds.cern.ch/record/2304527 |
_version_ | 1780957465503858688 |
---|---|
author | Schmidt, Frank Alexahin, Yuri Amundson, James Bartosik, Hannes Franchetti, Giuliano Holmes, Jeffrey Huschauer, Alexander Kapin, Valery Oeftiger, Adrian Stern, Eric Titze, Malte |
author_facet | Schmidt, Frank Alexahin, Yuri Amundson, James Bartosik, Hannes Franchetti, Giuliano Holmes, Jeffrey Huschauer, Alexander Kapin, Valery Oeftiger, Adrian Stern, Eric Titze, Malte |
author_sort | Schmidt, Frank |
collection | CERN |
description | At CERN we have ramped up a program to investigate space charge effects in the LHC pre-injectors with high brightness beams and long storage times. This in view of the LIU upgrade project for these accelerators. These studies require massive simulation over large number of turns. To this end we have been looking at all available codes and started collaborations on code development with several laboratories: pyORBIT from SNS, SYNERGIA from Fermilab, MICROMAP from GSI and our in-house MAD-X code with an space charge upgrade. We have agreed with our collaborators to bench-mark all these codes in the framework of the GSI bench-marking suite, in particular the main types of frozen space charge and PIC codes are being tested. We also include a study on the subclass of purely frozen and the adaptive frozen modes both part of MAD-X in comparison with the purely frozen MICROMAP code. Last, we will report on CERN's code development effort to understand and eventually overcome the noise issue in PIC codes. |
id | oai-inspirehep.net-1639605 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2016 |
record_format | invenio |
spelling | oai-inspirehep.net-16396052019-09-30T06:29:59Zdoi:10.18429/JACoW-HB2016-WEAM1X01http://cds.cern.ch/record/2304527engSchmidt, FrankAlexahin, YuriAmundson, JamesBartosik, HannesFranchetti, GiulianoHolmes, JeffreyHuschauer, AlexanderKapin, ValeryOeftiger, AdrianStern, EricTitze, MalteCode bench-marking for long-term tracking and adaptive algorithmsAccelerators and Storage RingsAt CERN we have ramped up a program to investigate space charge effects in the LHC pre-injectors with high brightness beams and long storage times. This in view of the LIU upgrade project for these accelerators. These studies require massive simulation over large number of turns. To this end we have been looking at all available codes and started collaborations on code development with several laboratories: pyORBIT from SNS, SYNERGIA from Fermilab, MICROMAP from GSI and our in-house MAD-X code with an space charge upgrade. We have agreed with our collaborators to bench-mark all these codes in the framework of the GSI bench-marking suite, in particular the main types of frozen space charge and PIC codes are being tested. We also include a study on the subclass of purely frozen and the adaptive frozen modes both part of MAD-X in comparison with the purely frozen MICROMAP code. Last, we will report on CERN's code development effort to understand and eventually overcome the noise issue in PIC codes.At CERN we have ramped up a program to investigate space charge effects in the LHC pre-injectors with high brightness beams and long storage times. This is in view of the LIU upgrade project [1] for these accelerators. These studies require massive simulation over large number of turns. To this end we have been looking at all available codes and started collaborations on code development with several laboratories: MAD-X frozen & adaptive mode [2] and integration into the main branch of the MAD-X in-house development [3] code, PyORBIT [4] from SNS, SYNERGIA [5] from Fermilab, MICROMAP [6] from GSI. We have agreed with our collaborators to bench-mark all these codes in the framework of the GSI bench-marking suite [7], in particular the main types of frozen space charge and PIC codes are being tested. We also include a study on the subclass of purely frozen and the adaptive frozen modes both part of MAD-X in comparison with the purely frozen MICROMAP code. Last, we will report on CERN’s code development effort to understand and eventually overcome the noise issue in PIC codes.oai:inspirehep.net:16396052016 |
spellingShingle | Accelerators and Storage Rings Schmidt, Frank Alexahin, Yuri Amundson, James Bartosik, Hannes Franchetti, Giuliano Holmes, Jeffrey Huschauer, Alexander Kapin, Valery Oeftiger, Adrian Stern, Eric Titze, Malte Code bench-marking for long-term tracking and adaptive algorithms |
title | Code bench-marking for long-term tracking and adaptive algorithms |
title_full | Code bench-marking for long-term tracking and adaptive algorithms |
title_fullStr | Code bench-marking for long-term tracking and adaptive algorithms |
title_full_unstemmed | Code bench-marking for long-term tracking and adaptive algorithms |
title_short | Code bench-marking for long-term tracking and adaptive algorithms |
title_sort | code bench-marking for long-term tracking and adaptive algorithms |
topic | Accelerators and Storage Rings |
url | https://dx.doi.org/10.18429/JACoW-HB2016-WEAM1X01 http://cds.cern.ch/record/2304527 |
work_keys_str_mv | AT schmidtfrank codebenchmarkingforlongtermtrackingandadaptivealgorithms AT alexahinyuri codebenchmarkingforlongtermtrackingandadaptivealgorithms AT amundsonjames codebenchmarkingforlongtermtrackingandadaptivealgorithms AT bartosikhannes codebenchmarkingforlongtermtrackingandadaptivealgorithms AT franchettigiuliano codebenchmarkingforlongtermtrackingandadaptivealgorithms AT holmesjeffrey codebenchmarkingforlongtermtrackingandadaptivealgorithms AT huschaueralexander codebenchmarkingforlongtermtrackingandadaptivealgorithms AT kapinvalery codebenchmarkingforlongtermtrackingandadaptivealgorithms AT oeftigeradrian codebenchmarkingforlongtermtrackingandadaptivealgorithms AT sterneric codebenchmarkingforlongtermtrackingandadaptivealgorithms AT titzemalte codebenchmarkingforlongtermtrackingandadaptivealgorithms |