4.7 Article

Data Acquisition System of the CLOUD Experiment at CERN

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2020.3023210

Keywords

Centralized control; data acquisition (DAQ); data handling; data processing; data storage systems; industrial control; monitoring; remote monitoring

Funding

  1. Marie Sklodowska-Curie Innovative Training Network Fellowship of the European Commission [764991 CLOUD-MOTION]
  2. Portuguese Science and Technology Foundation (FCT) [CERN/FIS-COM/0014/2017]
  3. Fundação para a Ciência e a Tecnologia [CERN/FIS-COM/0014/2017] Funding Source: FCT

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The CLOUD experiment at CERN investigates aerosol particles under atmospheric conditions, utilizing a clean chamber and advanced instruments. The DAQ system integrates data from these instruments into a single database, ensuring flexibility and fast response.
The Cosmics Leaving OUtdoor Droplets (CLOUD) experiment at the European Organization for Nuclear Research (CERN) is investigating the nucleation and growth of aerosol particles under atmospheric conditions and their activation into cloud droplets. The experiment comprises an ultraclean 26 m(3) chamber and its associated systems (the CLOUD facility) together with a suite of around 50 advanced instruments attached to the chamber via sampling probes to analyze its contents. The set of instruments changes for each experimental campaign according to the scientific goals. The central function of the CLOUD DAQ (data acquisition) system is to combine the data from these autonomous and inhomogeneous instruments into a single, integrated CLOUD experiment database. The DAQ system needs to be highly adaptable to allow a fast setup over a single installation week at the start of each campaign when the instruments are brought to CERN and installed at the CLOUD chamber. Each campaign requires high flexibility and fast response to changes in instrument configuration or experimental parameters. The experiments require online monitoring of the physical and chemical measurements with delays of only a few seconds. In addition, the raw data, the monitoring databases, and the processed data must be archived and provided to the international collaboration for both real-time and later analyses. We will describe the various components of the CLOUD DAQ and computing infrastructure, together with the reasons for the chosen solutions.

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