Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/13525
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dc.contributor.authorGupta, Pulkiten_US
dc.date.accessioned2024-04-26T12:43:02Z-
dc.date.available2024-04-26T12:43:02Z-
dc.date.issued2023-
dc.identifier.citationGupta, P., Singhal, V., Chattopadhyay, S., & Friese, V. (2023). Optimisation of the Muon Chamber(MuCh) Digi Storage in the CBM experiment at FAIR, Germany. 2023 IEEE 20th India Council International Conference, INDICON 2023. Scopus. https://doi.org/10.1109/INDICON59947.2023.10440958en_US
dc.identifier.isbn979-8350305593-
dc.identifier.otherEID(2-s2.0-85187398038)-
dc.identifier.urihttps://doi.org/10.1109/INDICON59947.2023.10440958-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/13525-
dc.description.abstractFuture high-energy physics experiments will place challenging requirements on computation, especially for realtime data processing. Consider the Compressed Baryonic Matter (CBM) experiment at the upcoming Facility for Antiproton and Ion Research (FAIR) Darmstadt, Germany, which aims to do online data selection solely in software at an extremely high interaction rate of gold(Au) gold(Au) collisions up to 10 MHz. Due to the unprecedented interaction rate and the use of selftriggered electronics, CBM experiment will generate enormous amounts of data in the order of few tera bytes per second as has been shown in the mCBM (miniature version of CBM experiment). To optimise the storage usage by the experiment, digi the smallest unit of a signal needs to be optimised. India is participating in the CBM experiment and developing one of the main detector systems, Muon Chamber (MuCh). In this work, MuCh digi has been revisited and the MuCh address scheme is revised. With these optimisations, MuCh storage requirement became nearly half as compared to existing implementation and it leads to reduction in memory footprint during the unpacking of the raw data stream. We will also discuss benefits of this reduction for the entire experiment towards the processing time and storage. © 2023 IEEE.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.source2023 IEEE 20th India Council International Conference, INDICON 2023en_US
dc.subjectData Restructuringen_US
dc.subjectData Volume Reductionen_US
dc.subjectMuCh CBMen_US
dc.subjectStorage Containeren_US
dc.titleOptimisation of the Muon Chamber(MuCh) Digi Storage in the CBM experiment at FAIR, Germanyen_US
dc.typeConference Paperen_US
Appears in Collections:Department of Electrical Engineering

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