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Tesla : an application for real-time data analysis in high energy physics
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(2016) Tesla : an application for real-time data analysis in high energy physics. Computer Physics Communications, 208 . pp. 35-42. doi:10.1016/j.cpc.2016.07.022 Research output not available from this repository, contact author.
Official URL: http://dx.doi.org/10.1016/j.cpc.2016.07.022
Abstract
Upgrades to the LHCb computing infrastructure in the first long shutdown of the LHC have allowed for high quality decay information to be calculated by the software trigger making a separate offline event reconstruction unnecessary. Furthermore, the storage space of the triggered candidate is an order of magnitude smaller than the entire raw event that would otherwise need to be persisted. Tesla is an application designed to process the information calculated by the trigger, with the resulting output used to directly perform physics measurements.
| Item Type: | Journal Article | ||||||||
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| Divisions: | Faculty of Science > Physics | ||||||||
| Journal or Publication Title: | Computer Physics Communications | ||||||||
| Publisher: | Elsevier Science BV | ||||||||
| ISSN: | 0010-4655 | ||||||||
| Official Date: | November 2016 | ||||||||
| Dates: |
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| Volume: | 208 | ||||||||
| Page Range: | pp. 35-42 | ||||||||
| DOI: | 10.1016/j.cpc.2016.07.022 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access |
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