Published May 24, 2013
| Published
Book Section - Chapter
Open
The CLOUD data acquisition system and online derivation of nucleation rates
- Others:
- DeMott, Paul J.
- ODowd, C. D.
Abstract
The CLOUD data acquisition, online data analysis and control system, address the challenges of online monitoring, control and data plotting, while providing a centralized data repository with unified tools for data access and visualization. The system was optimized for rapid instrument integration and flexible data format processing. It was built upon open architecture components including a computing cluster monitoring and an open database management system. The different approaches for parameter computation available in the CLOUD central data acquisition system are explained.
Additional Information
© 2013 AIP Publishing LLC. Published online 24 May 2013. We would like to thank CERN for supporting CLOUD with important technical and financial resources, and for providing a particle beam from the CERN Proton Synchrotron. This research has received funding from the EC Seventh Framework Programme (Marie Curie Initial Training Network "CLOUD-ITN" no. 215072, MCITN "CLOUD-TRAIN" no. 316662, and ERC-Advanced "ATMNUCLE'' grant no.227463), the German Federal Ministry of Education and Research (project nos. 01LK0902A and 01LK1222A), the Swiss National Science Foundation (project nos.200020_135307 and 206620_130527), the Academy of Finland (Center of Excellence project no. 1118615), the Academy of Finland (135054, 133872, 251427, 139656, 139995, 137749, 141217, 141451), the Finnish Funding Agency for Technology and Innovation, the Nessling Foundation, the Austrian Science Fund (FWF; project no. P19546 and L593), the Portuguese Foundation for Science and Technology (project no. CERN/FP/116387/2010), the Swedish Research Council, Vetenskapsrdet (grant 2011-5120), the Presidium of the Russian Academy of Sciences and Russian Foundation for Basic Research (grants 08-02-91006-CERN and 12-02-91522-CERN), and the U.S. National Science Foundation (grants AGS1136479 and CHE1012293).Attached Files
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Additional details
- Eprint ID
- 66388
- Resolver ID
- CaltechAUTHORS:20160422-070832330
- 215072
- Marie Curie Fellowship
- 316662
- Marie Curie Fellowship
- 227463
- European Research Council (ERC)
- 01LK0902A
- Bundesministerium für Bildung und Forschung (BMBF)
- 01LK1222A
- Bundesministerium für Bildung und Forschung (BMBF)
- 200020_135307
- Swiss National Science Foundation (SNSF)
- 206620_130527
- Swiss National Science Foundation (SNSF)
- 1118615
- Academy of Finland
- 135054
- Academy of Finland
- 133872
- Academy of Finland
- 251427
- Academy of Finland
- 139656
- Academy of Finland
- 139995
- Academy of Finland
- 137749
- Academy of Finland
- 141217
- Academy of Finland
- 141451
- Academy of Finland
- Finnish Funding Agency for Technology and Innovation
- Nessling Foundation
- P19546
- FWF Der Wissenschaftsfonds
- L593
- FWF Der Wissenschaftsfonds
- CERN/FP/116387/2010
- Fundação para a Ciência e a Tecnologia (FCT)
- Swedish Research Council
- 2011-5120
- Vetenskapsrådet
- Russian Academy of Sciences
- 08-02-91006-CERN
- Russian Foundation for Basic Research
- 12-02-91522-CERN
- Russian Foundation for Basic Research
- AGS1136479
- NSF
- CHE1012293
- NSF
- Created
-
2016-04-22Created from EPrint's datestamp field
- Updated
-
2021-11-10Created from EPrint's last_modified field
- Series Name
- AIP Conference Proceedings
- Series Volume or Issue Number
- 1527