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Comment: 3 pages, 2 figures, submitted to the proceedings of the XXIV International Symposium on Lepton Photon Interactions at High Energies (Lepton Photon 09), Hamburg, Germany, August 2009
We report on a novel trigger for the liquid argon calorimeter which was installed in the H1 Experiment at HERA.This trigger, called the “Jet Trigger”, was running at level 1 and implemented a real-time cluster algorithm. Within only 800 ns, the Jet Trigger algorithm found local energy maxima in the calorimeter, summed their immediate neighbors, sorted the resulting jets by energy, and applied topological conditions for the final level 1 trigger decision. The Jet Trigger was in operation from the year 2006 until the end of the HERA running in the summer of 2007. With the Jet Trigger it was possible to substantially reduce the thresholds for triggering on electronsand jets, giving access to a largely extended phase space for physical observables which could not have been reached in H1 before. The concepts of the Jet Trigger may be an int...
[[abstract]]We have developed a metadata service for the Belle experiment which provides a mechanism to locate files using descriptive information However for the Belle II experiment we will have 50-60 times more data This metadata service may have problems with performance scalability and durability when employed at Belle II These issues are compounded when metadata searches are extended to the event-level Accordingly we have designed a new metadata scheme for Belle II which significantly reduces disk space and propose a new metadata service which provides good performance and scalability based on AMGA (Arda Metadata catalog for Grid Application) We find that the use of event-level metadata provides an efficient scheme for processing events with many tracks (C) 2010 Elsevier B V All rights reserved
[[abstract]]The Belle II experiment is expected to produce 50 times more data than the existing Belle experiment. Such huge data production requires not only scalability with respect to the storage service but also scalability regarding the metadata service. There has already been a metadata service at the Belle experiment, but it is not proper for the Belle II experiment because it has scalability problems and it is not intended to be used in a distributed grid environment. To deal with these issues, we designed an advanced metadata service system based on AMCA, which provides efficient and scalable metadata searching. We have built testbed sites to test the correctness, performance and scalability of the advanced metadata service system, and it has been proved to be able to provide efficient metadata searching for the Belle II experi...
[[abstract]]In order to search for new physics beyond the standard model, the next generation of B-factory experiment, Belle II will collect a huge data sample that is a challenge for computing systems. The Belle IT experiment, which should commence data collection in 2015, expects data rates 50 times greater than that of Belle. In order to handle this amount of data, we need a new data handling system based on a new computing model, which is a distributed computing model including grid farms as opposed to the central computing model using clusters at the Belle experiment. We have constructed a metadata system and embedded the system in the grid farms of the Belle II experiment. We have tested the system using grid farms. Results show good performance in handling such a huge amount of data.
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