Triggerless data acquisition system for the AMBER experiment

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F22%3A00374236" target="_blank" >RIV/68407700:21340/22:00374236 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.22323/1.414.0248" target="_blank" >https://doi.org/10.22323/1.414.0248</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.22323/1.414.0248" target="_blank" >10.22323/1.414.0248</a>

Result language

angličtina

Original language name

Triggerless data acquisition system for the AMBER experiment

Original language description

We developed a novel free-running data acquisition system for the AMBER experiment. The system features a hybrid architecture containing a scalable FPGA-based system for data collection and conventional distributed computing for data reduction. The current implementation can collect up to 10 GB/s sustained data rate. The FPGA system substitutes high-performance networks by merging time-correlated data and distribution between computers. The data reduction is performed by a filtering farm decreasing the incoming data rate by a factor of 50 to 100-200 MB/s. The filtering framework implements various data reduction algorithms for different physics programs. These algorithms perform partial data decoding, time, and spatial analysis of the data in order to select predefined event topology in a semi-online manner. Our system also performs continuous and iterative time calibration of detectors, which is required by the continuously running acquisition system. Additionally, we developed a simulation tool able to emulate detector responses to particles passing the AMBER spectrometer and convert them into correctly formatted raw data. These generated data are used to test and validate the readout chain and the filtering framework. The entire system will be tested with a limited number of detectors this year. The first physics run is planned for 2024. Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0)

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of Science

ISBN

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ISSN

1824-8039

e-ISSN

1824-8039

Number of pages

6

Pages from-to

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Publisher name

Sissa Medialab Srl

Place of publication

Trieste

Event location

Bologna

Event date

Jul 6, 2022

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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