Commissioning of the CMS High-Level Trigger with cosmic rays

• Main Authors: Alver, Burak Han (Author), Bauer, Gerry P (Author), Bendavid, Joshua L. (Author), Busza, Wit (Author), Butz, Erik M. (Author), Cali, Ivan Amos (Author), Chan, M. (Author), D'Enterria, David (Author), Everaerts, Pieter Bruno Bart (Author), Gomez-Ceballos, Guillelmo (Author), Hahn, Kristian Allan (Author), Harris, Philip Coleman (Author), Jaditz, Stephen Hunter (Author), Kim, Young Do (Author), Klute, Markus (Author), Lee, Y.-J (Author), Li, W. (Author), Loizides, Constantinos (Author), Ma, T. (Author), Miller, M. (Author), Nahn, S. (Author), Paus, Christoph M. E. (Author), Roland, Christof E (Author), Roland, Gunther M (Author), Rudolph, Matthew Scott (Author), Stephans, George S. F. (Author), Sumorok, Konstanty C (Author), Sung, K. (Author), Vaurynovich, Siarhei S. (Author), Wenger, Edward Allen (Author), Wyslouch, Boleslaw (Author), Xie, Si (Author), Yilmaz, Yetkin (Author), Yoon, A. S. (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Physics (Contributor), Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor), Massachusetts Institute of Technology. Department of Nuclear Science and Engineering (Contributor)
• Format: Article
• Language: English
• Published: 2019-07-05T18:47:53Z.
• Subjects: Article
• Online Access: Get fulltext

The CMS High-Level Trigger (HLT) is responsible for ensuring that data samples with potentially interesting events are recorded with high efficiency and good quality. This paper gives an overview of the HLT and focuses on its commissioning using cosmic rays. The selection of triggers that were deployed is presented and the online grouping of triggered events into streams and primary datasets is discussed. Tools for online and offline data quality monitoring for the HLT are described, and the operational performance of the muon HLT algorithms is reviewed. The average time taken for the HLT selection and its dependence on detector and operating conditions are presented. The HLT performed reliably and helped provide a large dataset. This dataset has proven to be invaluable for understanding the performance of the trigger and the CMS experiment as a whole.