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LOFAR is a high-throughput data facility that has been operational since 2012 and is currently undergoing a major upgrade towards LOFAR 2.0. Operating such a state-of-the-art facility for the first time has given us the chance to optimize our tools, processes, and operational model with respect to the complexity of this groundbreaking telescope. The upgrades in LOFAR 2.0 will enable the simultaneous usage of the low and high band antennas, alternatively doubling the survey speed in one of the observing bands. The correlator with a fully commensal functionality will provide interferometric and tied array beam data products at the same time. The new observing regime will require high performance not only on the correlator, but also on the specification, scheduling, and quality assessment of the observations. Processing to produce science-ready data to be made available to the community will be performed in the long-term archive infrastructure. This will come with a cost in terms of computing and storage resources, as well as tackling challenges in terms of pipelines and algorithms developments and optimization and control of complex chains of data processes. In this talk, I will describe how the lessons learned in several aspects of LOFAR operations (from telescope calibration to data storage and discovery) have triggered important technological, operational, and policy advancements that will pave the path towards LOFAR 2.0 and beyond.
Orrú et al. (Thu,) studied this question.
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