Cargando…
A voxelization approach to navigate through nested geometries
High energy physics experiment software typically implements a detailed description of the geometry of the relevant detector. As modern detectors increase in complexity, modelling them becomes more challenging. Typically such models are built as a nested hierarchy of O(10000) volumes reaching a dept...
| Autor principal: | |
|---|---|
| Lenguaje: | eng |
| Publicado: |
2016
|
| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2209045 |
| _version_ | 1780951748044652544 |
|---|---|
| author | Harrison, Brent Andrew |
| author_facet | Harrison, Brent Andrew |
| author_sort | Harrison, Brent Andrew |
| collection | CERN |
| description | High energy physics experiment software typically implements a detailed description of the geometry of the relevant detector. As modern detectors increase in complexity, modelling them becomes more challenging. Typically such models are built as a nested hierarchy of O(10000) volumes reaching a depth of 10 - 20. It is desirable to develop data structures and algorithms which allow fast and efficient navigation though a given detector geometry model. We investigate the feasibility of voxelisation techniques to this end. |
| id | cern-2209045 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2016 |
| record_format | invenio |
| spelling | cern-22090452019-09-30T06:29:59Zhttp://cds.cern.ch/record/2209045engHarrison, Brent AndrewA voxelization approach to navigate through nested geometriesDetectors and Experimental TechniquesComputing and ComputersHigh energy physics experiment software typically implements a detailed description of the geometry of the relevant detector. As modern detectors increase in complexity, modelling them becomes more challenging. Typically such models are built as a nested hierarchy of O(10000) volumes reaching a depth of 10 - 20. It is desirable to develop data structures and algorithms which allow fast and efficient navigation though a given detector geometry model. We investigate the feasibility of voxelisation techniques to this end.CERN-STUDENTS-Note-2016-066oai:cds.cern.ch:22090452016-08-19 |
| spellingShingle | Detectors and Experimental Techniques Computing and Computers Harrison, Brent Andrew A voxelization approach to navigate through nested geometries |
| title | A voxelization approach to navigate through nested geometries |
| title_full | A voxelization approach to navigate through nested geometries |
| title_fullStr | A voxelization approach to navigate through nested geometries |
| title_full_unstemmed | A voxelization approach to navigate through nested geometries |
| title_short | A voxelization approach to navigate through nested geometries |
| title_sort | voxelization approach to navigate through nested geometries |
| topic | Detectors and Experimental Techniques Computing and Computers |
| url | http://cds.cern.ch/record/2209045 |
| work_keys_str_mv | AT harrisonbrentandrew avoxelizationapproachtonavigatethroughnestedgeometries AT harrisonbrentandrew voxelizationapproachtonavigatethroughnestedgeometries |