2015
DOI: 10.1088/1742-6596/664/8/082032
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The DAQ needle in the big-data haystack

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Cited by 7 publications
(5 citation statements)
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“…The detector (E) plays the role of a sensor, in modern terms. As another paper explains it [14], it is connected to a programmable trigger (HR, for High Resistance) and analog front-end electronics (G, for Geiger tube), through which the signal is acquired by an amplifier (vacuum tube, which plays a role of an analog processor), and then directed to an actuator, which is a relay (R), and through a local circuit (LC) recorded on analog media (P for Pen).…”
Section: Principles Of Data Acquisition and Controlmentioning
confidence: 96%
“…The detector (E) plays the role of a sensor, in modern terms. As another paper explains it [14], it is connected to a programmable trigger (HR, for High Resistance) and analog front-end electronics (G, for Geiger tube), through which the signal is acquired by an amplifier (vacuum tube, which plays a role of an analog processor), and then directed to an actuator, which is a relay (R), and through a local circuit (LC) recorded on analog media (P for Pen).…”
Section: Principles Of Data Acquisition and Controlmentioning
confidence: 96%
“…Profiting from the large amounts of physical memory that can be installed in modern servers at a relatively modest cost, the file-based HLT infrastructure (F3), deployed in Run-2 [12], enabled CMS to achieve a high level of decoupling between the event builder, the HLT algorithms, running inside the same reconstruction framework (CMSSW) also used for offline reconstruction and analysis, and the storage and transfer system responsible for the aggregation of HLT-accepted events for subsequent transfer to Tier-0. This is achieved by storing raw data of complete events into files in a memory-based file system on the event builder nodes 3 .…”
Section: Hlt Data Distribution and Collectionmentioning
confidence: 99%
“…This clearly illustrates the trend towards moving more complex algorithmic processing into the online systems. A possible evolution of TDAQ architectures could lead to detectors with extremely deep asynchronous or even virtual pipelines, where data streams from the various detector channels are analysed and indexed in situ quasi-real-time, using intelligent, pattern-driven data organization, and the final selection is operated as a distributed "search for interesting event parts" [173].…”
Section: Advanced Concepts In Electronics Trigger and Daqmentioning
confidence: 99%