Classifying fake and non-prompt leptons in the ATLAS experiment
| dc.contributor.author | Kraft, Denaisha | |
| dc.date.accessioned | 2025-05-05T18:43:53Z | |
| dc.date.available | 2025-05-05T18:43:53Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The ATLAS detector at the Large Hadron Collider can be used to search for doubly charged Higgs bosons that are produced via vector boson fusion. For this search, the doubly charged Higgs bosons decay into a pair of W bosons with the same electric charge, and events where the W bosons decay leptonically into electrons or muons are selected. A challenge in this analysis is accurately distinguishing the true signal from background processes that mimic the signal. Non-prompt leptons from secondary decays and fake leptons from misidentified objects in the detector are sources of this background, and these processes can enter the signal region (SR) of the measurement. Monte Carlo (MC) simulations are used to identify the types of fake and non-prompt leptons present in the SR. The backgrounds and types of non-prompt leptons present in the SR are identified in this study. This analysis aims to better understand these backgrounds, which helps with selecting appropriate data control regions to estimate the type of fake and non-prompt leptons more accurately. This improves the differentiation between true signal and background processes. | |
| dc.description.reviewstatus | Reviewed | |
| dc.description.scholarlevel | Undergraduate | |
| dc.description.sponsorship | Jamie Cassels Undergraduate Research Awards (JCURA) | |
| dc.identifier.uri | https://hdl.handle.net/1828/22124 | |
| dc.language.iso | en | |
| dc.publisher | University Of Victoria | |
| dc.subject | particle physics | |
| dc.subject | ATLAS experiment | |
| dc.subject | LHC | |
| dc.subject | beyond the standard model | |
| dc.title | Classifying fake and non-prompt leptons in the ATLAS experiment | |
| dc.type | Poster |