Details

Autor(en) / Beteiligte

• Afaq, A.
• Badgett, W.
• Bauer, G.
• Biery, K.
• Boyer, V.
• Branson, J.
• Brett, A.
• Cano, E.
• Carboni, A.
• Cheung, H.
• Ciganek, M.
• Cittolin, S.
• Dagenhart, W.
• Erhan, S.
• Gigi, D.
• Glege, F.
• Gomez-Reino, R.
• Gulmini, M.
• Gutleber, J.
• Jacobs, C.
• Jin Cheol Kim
• Klute, M.
• Kowalkowski, J.
• Lipeles, E.
• Perez, J.A.L.
• Maron, G.
• Meijers, F.
• Meschi, E.
• Moser, R.
• Mlot, E.G.
• Murray, S.
• Oh, A.
• Orsini, L.
• Paus, C.
• Petrucci, A.
• Pieri, M.
• Pollet, L.
• Racz, A.
• Sakulin, H.
• Sani, M.
• Schieferdecker, P.
• Schwick, C.
• Sexton-Kennedy, E.
• Sumorok, K.
• Suzuki, I.
• Tsirigkas, D.
• Varela, J.

Titel

The CMS High Level Trigger System

Ist Teil von

• IEEE transactions on nuclear science, 2008-02, Vol.55 (1), p.172-175

Ort / Verlag

New York: IEEE

Erscheinungsjahr

2008

Quelle

IEEE

Beschreibungen/Notizen

• The CMS data acquisition (DAQ) system relies on a purely software driven high level trigger (HLT) to reduce the full Level 1 accept rate of 100 kHz to approximately 100 Hz for archiving and later offline analysis. The HLT operates on the full information of events assembled by an event builder collecting detector data from the CMS front-end systems. The HLT software consists of a sequence of reconstruction and filtering modules executed on a farm of O(1000) CPUs built from commodity hardware. This paper presents the architecture of the CMS HLT, which integrates the CMS reconstruction framework in the online environment. The mechanisms to configure, control, and monitor the filter farm and the procedures to validate the filtering code within the DAQ environment are described.