End-to-end data acquisition pipeline for the Cherenkov Telescope Array

摘要

The Cherenkov Telescope Array (CTA) will operate several types of telescopesand cameras. The individual camera trigger rates will vary much - from 0.6 to15 kHz - while the content of the raw data will be heterogeneous. Raw datastreams of up to 43 Gbps per telescope must be handled efficiently, from thecamera front-ends down to the on-site repository and real-time analysis. Inaddition, the system must transcode all raw data to a common, pre-calibratedformat. We will present the pipeline that we propose to implement this dataacquisition pipeline. It will format the raw data to a common structure,provide facilities to run camera-specific algorithms and compress and writedata to the on-site repository. We will also present the Python interface thatallows the analysis pipeline to access the data. Eventually, the two strategiesforeseen to interface the camera servers will be detailed and the currentstatus of the developments for CTA will be given, with the last performancefigures measured.