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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Becker, Bruce Chattopadhyay, Sukalyan Cicalo, Corrado Das, Indranil de Vaux, Gareth Fearick, Roger Lindenstruth, Volker Marras, Davide Sanyal, Abhijit Siddhanta, Sabyasachi Staley, Florent Steinbeck, Timm Szostak, Artur Usai, Gianluca Vilakazi, Zeblon |
| Copyright Year | 2008 |
| Description | Author affiliation: CEA, Saclay, DSM/DAPNIA/SPhN, 91191 Gif-Sur-Yvette, France (Staley, Florent) || INFN, Sezione di Cagliari, Cittadella Universitaria 09042 Monserrato, (CA) Italy (Cicalo, Corrado; Marras, Davide; Siddhanta, Sabyasachi; Usai, Gianluca) || Kirchhoff-Institut fur Physik, Im Neuenheimer Feld 227 D-69120 Heidelberg, Germany (Lindenstruth, Volker; Steinbeck, Timm) || Saha Institute of Nuclear Physics, 1/AF, Bidhannagar Kolkata 700 064, India (Chattopadhyay, Sukalyan; Das, Indranil; Sanyal, Abhijit) || UCT-CERN Research Centre, University of Cape Town, Rondebosch, 7700, South Africa (Becker, Bruce; de Vaux, Gareth; Fearick, Roger; Szostak, Artur; Vilakazi, Zeblon) |
| Abstract | The ALICE Dimuon Spectrometer High Level Trigger (dHLT) is an on-line processing stage whose primary function is to select interesting events that contain distinct physics signals from heavy resonance decays such as J/ψ and ϒ particles, amidst unwanted background events. It forms part of the High Level Trigger of the ALICE experiment, whose goal is to reduce the large data rate of about 25 GB/s from the ALICE detectors by an order of magnitude, without loosing interesting physics events. The dHLT has been implemented as a software trigger within a high performance and fault tolerant data transportation framework, which is run on a large cluster of commodity compute nodes. To reach the required processing speeds, the system is built as a concurrent system with a hierarchy of processing steps. The main algorithms perform partial event reconstruction, starting with hit reconstruction on the level of the raw data received from the spectrometer. Then a tracking algorithm finds track candidates from the reconstructed hit points. Physical parameters such as momentum are extracted from the track candidates and finally a dHLT decision is made to readout the event based on certain trigger criteria. Various simulations and commissioning tests have shown that the dHLT can expect a background rejection factor of at least 5 compared to hardware triggering alone, with little impact on the signal detection efficiency. |
| Starting Page | 1846 |
| Ending Page | 1850 |
| File Size | 2551072 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424427147 |
| ISSN | 10957863 |
| DOI | 10.1109/NSSMIC.2008.4774751 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-19 |
| Publisher Place | Germany |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Spectroscopy Physics Clustering algorithms Signal processing Resonance Event detection Detectors Software performance Fault tolerance Transportation |
| Content Type | Text |
| Resource Type | Article |
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