Published August 31, 2013
| Version v1
Report
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Using a new multivariate technique in high energy physics
Creators
- 1. CERN openlab Summer Student
- 2. Summer Student Supervisor
Description
This project focuses on testing and developing algorithms for multivariate data analysis, that separate signal processes from abundant backgrounds and on helping with organizing and filtering colossal amounts of raw data, gathered from the Large Hadron Collider beauty (LHCb) experiment, to find extremely rare events of interest. Moreover, working on this project also meant trying to apply new, faster method to take the place of systems that are now used at CERN to pare down the relevant data, but require relatively extensive processing and analysis to determine relevance and usefulness.
Files
CERN_openlab_report_Doneva.pdf
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