Performance of the missing transverse momentum triggers for the ATLAS detector during Run-2 data taking
Entity
UAM. Departamento de Física TeóricaPublisher
Springer; Scuola Internazionale Superiore di Studi Avanzati (SISSA)Date
2020-08-19Citation
10.1007/JHEP08(2020)080
Journal of High Energy Physics 2020.8 (2020): 80
ISSN
1029-8479 (online); 1126-6708 (print)DOI
10.1007/JHEP08(2020)080Editor's Version
https://doi.org/10.1007/JHEP08(2020)080Subjects
Hadron-Hadron Scattering (Experiments); FísicaNote
Artículo escrito por un elevado número de autores, solo se referencian el que aparece en primer lugar, los autores pertenecientes a la UAM y el nombre del grupo de colaboración, si lo hubiereRights
© 2020 The Author(s), CERN for the benefit of the ATLAS CollaborationAbstract
The factor of four increase in the LHC luminosity, from 0.5 × 1034 cm−2s−1 to 2.0 × 1034cm−2s−1, and the corresponding increase in pile-up collisions during the 2015–2018 data-taking period, presented a challenge for the ATLAS trigger, particularly for those algorithms that select events with missing transverse momentum. The output data rate at fixed threshold typically increases exponentially with the number of pile-up collisions, so the legacy algorithms from previous LHC data-taking periods had to be tuned and new approaches developed to maintain the high trigger efficiency achieved in earlier operations. A study of the trigger performance and comparisons with simulations show that these changes resulted in event selection efficiencies of > 98% for this period, meeting and in some cases exceeding the performance of similar triggers in earlier run periods, while at the same time keeping the necessary bandwidth within acceptable limits
Files in this item
Google Scholar:Aad, G.
-
Aguilar-Saavedra, J.A.
-
Álvarez Estévez, Manuel
-
Barreiro Alonso, Fernando
-
Calvente López, S.
-
Peso Malagón, José del
-
Glasman Kuguel, Claudia Beatriz
-
Terrón Cuadrado, Juan
-
ATLAS Collaboration
This item appears in the following Collection(s)
Related items
Showing items related by title, author, creator and subject.