The ATLAS experience and its relevance to the data acquisition of the BM@N experiment at the NICA complex

15th International Conference on Strangeness in Quark Matter

Tomiwa, K.G.^1 ; Slepnev, I.^2 ; Bazylev, S.^2 ; Mellado, B.^1

School of Physics, University of the Witwatersrand, Johannesburg

2050, South Africa^1

Joint Institute of Nuclear Research, Dubna, Russia^2

关键词: Data acquisition system;    Experimental set up;    High energy physics experiments;    High throughput systems;    Interaction points;    Large Hadron Collider;    Proton proton collisions;    Tile calorimeters;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/668/1/012090/pdf
DOI  :  10.1088/1742-6596/668/1/012090

来源: IOP

【 摘 要 】

The quest to understand the world around us has increased the size of high energy physics experiments and the processing rate of the data output from high energy experiments. The Large Hadron Collider is the largest experimental set-up known, with ATLAS detector as one of the detectors built to record proton-proton collision at about 10 PB/s (Petabit/s) around the LHC interaction point. With the Phase-II upgrade in 2022 this data output will increase by at least 10 times higher than those of today due to luminosity increase, this poses a serious challenge on processing and storage of the data. Also the BM@N fixed target experiment is expected to have event size of about 80,000 bytes/Event, leading to huge amount of data output to be processed in real time. Experimentalists handle these challenges by developing High-throughput electronic, with the capability of processing and reducing big data to scientific data in real time. One of these high-throughput electronics is the Super Readout Driver (sROD) and ARM-based processing unit (PU) developed for ATLAS TileCal detector by the University of the Witwatersrand. The sROD is designed to process data from Tile Calorimeter at 40 MHz. This work takes a look at the architecture of the data acquisition (DAQ) system of the BM@N detectors and the adaptation of the high-throughput systems to last stage of the BM@N DAQ system.