D'Amen, G. (2019) The πLUP project: Exploiting new techniques and neural networks in high-energy experiment data acquisition. Il nuovo cimento C, 42 (4). pp. 1-3. ISSN 1826-9885
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Abstract
The constant challenge to break the frontiers of energy and luminosity in high-energy physics experiments at LHC brings along the necessity of constant technological efforts in the acquisition of the signal generated by particles detectors. The relatively slow pace of the technological advance when compared to the constant increase of the outcoming bandwidth from the detectors requires the exploit of innovative methods and architectures for the data acquisition electronics. The πLUP project aims to create the prototype of a new generation of flexible data acquisition boards by exploiting the capabilities of the FPGA technology combined with the ease of use of an integrated Linux kernel, in order to implement new technological paradigms and to study the impact of neural networks in the reconstruction of acquired data.
| Item Type: | Article |
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| Subjects: | 500 Scienze naturali e Matematica > 530 Fisica |
| Depositing User: | Marina Spanti |
| Date Deposited: | 21 Dec 2020 13:32 |
| Last Modified: | 21 Dec 2020 13:32 |
| URI: | http://eprints.bice.rm.cnr.it/id/eprint/20599 |
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