Data flow and high level trigger of belle II DAQ system

Author(s):  
R. Itoh ◽  
T. Higuchi ◽  
M. Nakao ◽  
S.Y. Suzuki ◽  
S. Lee
Keyword(s):  
Belle Ii ◽  
2013 ◽  
Vol 60 (5) ◽  
pp. 3720-3724 ◽  
Author(s):  
R. Itoh ◽  
T. Higuchi ◽  
M. Nakao ◽  
S. Y. Suzuki ◽  
S. Lee
Keyword(s):  
Belle Ii ◽  

2012 ◽  
Vol 396 (1) ◽  
pp. 012029
Author(s):  
S Lee ◽  
R Itoh ◽  
T Higuchi ◽  
M Nakao ◽  
S Y Suzuki ◽  
...  
Keyword(s):  
Belle Ii ◽  

2021 ◽  
Author(s):  
Markus Tobias Prim ◽  
N. Braun ◽  
Y. Guan ◽  
O. Hartbrich ◽  
R. Itoh ◽  
...  

2011 ◽  
Vol 331 (2) ◽  
pp. 022015 ◽  
Author(s):  
S Lee ◽  
R Itoh ◽  
N Katayama ◽  
S Mineo
Keyword(s):  
Belle Ii ◽  

2020 ◽  
Vol 35 (33) ◽  
pp. 2043001 ◽  
Author(s):  
Nils Braun ◽  
Thomas Kuhr

The Belle II experiment is designed to collect 50 times more data than its predecessor. For a smooth collection of high-quality data, a robust and automated data transport and processing pipeline has been established. We describe the basic software components employed by the high level trigger. It performs a reconstruction of all events using the same algorithms as offline, classifies the events according to physics criteria, and provides monitoring information. The improved system described in this paper has been deployed successfully since 2019.


2020 ◽  
Vol 245 ◽  
pp. 01040
Author(s):  
R. Itoh ◽  
N. Braun ◽  
C. Li ◽  
M. Nakao ◽  
S. Yamada ◽  
...  

The Belle II experiment is a new generation B-factory experiment at KEK in Japan aiming at the search for New Physics in a huge sample of B-meson decays. The commissioning of the accelerator and the detector for the first physics run has started from March this year. The Belle II High Level Trigger (HLT) is fully working in the beam run. The HLT is now operated with 1600 cores clusterized in 5 units, which is 1/4 of the full configuration. The software trigger is performed using the same offline reconstruction code, and events are classified into a set of physics categories. Only the events in the categories of interest are finally sent out to the storage. Live data quality monitoring is also performed on HLT. For the selected events, the reconstructed tracks are extrapolated to the surface of the pixel detector (PXD) and quickly fed back to the readout electronics for the real time data reduction by sending only the associated hits. The maximum trigger rate in the first physics run was 3.5kHz, and the Belle II data acquisition system was stably operated. There were several problems in the HLT operation, but they have successfully been fixed during the data taking period. The HLT reduction factor is measured to be 8 which is still higher than the design because of the high background environment.


2015 ◽  
Vol 62 (3) ◽  
pp. 1155-1161 ◽  
Author(s):  
T. Bilka ◽  
G. Casarosa ◽  
R. Fruhwirth ◽  
C. Kleinwort ◽  
P. Kodys ◽  
...  

2019 ◽  
Vol 214 ◽  
pp. 05010 ◽  
Author(s):  
Giulio Eulisse ◽  
Piotr Konopka ◽  
Mikolaj Krzewicki ◽  
Matthias Richter ◽  
David Rohr ◽  
...  

ALICE is one of the four major LHC experiments at CERN. When the accelerator enters the Run 3 data-taking period, starting in 2021, ALICE expects almost 100 times more Pb-Pb central collisions than now, resulting in a large increase of data throughput. In order to cope with this new challenge, the collaboration had to extensively rethink the whole data processing chain, with a tighter integration between Online and Offline computing worlds. Such a system, code-named ALICE O2, is being developed in collaboration with the FAIR experiments at GSI. It is based on the ALFA framework which provides a generalized implementation of the ALICE High Level Trigger approach, designed around distributed software entities coordinating and communicating via message passing. We will highlight our efforts to integrate ALFA within the ALICE O2 environment. We analyze the challenges arising from the different running environments for production and development, and conclude on requirements for a flexible and modular software framework. In particular we will present the ALICE O2 Data Processing Layer which deals with ALICE specific requirements in terms of Data Model. The main goal is to reduce the complexity of development of algorithms and managing a distributed system, and by that leading to a significant simplification for the large majority of the ALICE users.


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