Abstract
The High Level trigger (HLT) plays a crucial role for the success of an experiment, as pointed out in Sect. 2.2. Its decision logic, which defines whether a collision event is accepted or discarded, defines which physical results can be extracted from the collected data and whether a certain analysis has enough statistics to be possible at all. A sub-optimal event selection at this stage looses them irretrievably.
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Notes
- 1.
There is a subtle difference between the reconstruction with a single process and single-core processing as introduced in Fig. 2.8. In this thesis, only the worker processes are counted, so the reconstruction on a single process uses actually three cores: one for the worker, one for the output and one for the input process (cf. Sect. 2.3). All the studies in the following are normalized to this case.
- 2.
The grid sites used for simulating as well as reconstructing events after the recording will allow for jobs using multiple cores in the future. Also the local development today is mostly performed on multi-core machines where multiprocessing can speed up the development time significantly.
- 3.
As this is of course not possible because of hardware constraints, the limit should at least be much larger than the average raw data size.
- 4.
The event buffer size can be controlled via module parameters and set to two by default.
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Braun, N. (2019). Fast Reconstruction for the High Level Trigger. In: Combinatorial Kalman Filter and High Level Trigger Reconstruction for the Belle II Experiment. Springer Theses. Springer, Cham. https://doi.org/10.1007/978-3-030-24997-7_4
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