CINECA IRIS Institutional Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishA search for long-lived, massive particles predicted by many theories beyond the Standard Model is presented. The search targets final states with large missing transverse momentum and at least one high-mass displaced vertex with five or more tracks, and uses 32.8 fb−1 of √s = 13 TeV pp collision data collected by the ATLAS detector at the LHC. The observed yield is consistent with the expected background. The results are used to extract 95% C.L. exclusion limits on the production of long-lived gluinos with masses up to 2.37 TeV and lifetimes of O(10−2)−O(10) ns in a simplified model inspired by split supersymmetry.
| Titolo: | Search for long-lived, massive particles in events with displaced vertices and missing transverse momentum in sqrt(s) = 13 TeV pp collisions with the ATLAS detector |
| Autori: | |
| Data di pubblicazione: | 2018 |
| Rivista: | |
| Abstract: | A search for long-lived, massive particles predicted by many theories beyond the Standard Model is presented. The search targets final states with large missing transverse momentum and at least one high-mass displaced vertex with five or more tracks, and uses 32.8 fb−1 of √s = 13 TeV pp collision data collected by the ATLAS detector at the LHC. The observed yield is consistent with the expected background. The results are used to extract 95% C.L. exclusion limits on the production of long-lived gluinos with masses up to 2.37 TeV and lifetimes of O(10−2)−O(10) ns in a simplified model inspired by split supersymmetry. |
| Handle: | http://hdl.handle.net/11587/421640 |
| Appare nelle tipologie: | Articolo pubblicato su Rivista |
File in questo prodotto:
http://hdl.handle.net/11587/421640
Copyright © 2020