The Latin American Giant Observatory (LAGO) is a distributed cosmic ray observatory at a regional scale in Latin America, by deploying a large network of Water Cherenkov detectors (WCD) and other astroparticle detectors in a wide range of latitudes from Antarctica to México, and altitudes from sea level to more than 5500 m a.s.l.
Detectors telemetry, atmospherics conditions and flux of secondary particles at the ground are measured with extreme detail at each LAGO site by using our own-designed hardware and firmware (ACQUA). To combine and analyse all these huge amounts of data produced by ACQUA, LAGO developed ANNA, our data analysis framework. Additionally, ARTI, a complete framework of simulations was designed and implemented to simulate the expected signals in our detectors coming from primary cosmic rays entering the Earth atmosphere, allowing a precise characterization of the sites at different atmospheric, geomagnetic and detector conditions.
As the measured and simulated data started to flow, we are facing a challenging scenario given the large amount of data emerging from our detectors and from the computational simulations we performed on a diversity of computing architectures and e-infrastructures. All these data need to be transferred, analyzed, catalogued, preserved, and provided for internal and public access and data-mining under an open e-Science environment. In this work, we present and describe the implementation of ARTI on the EOSC-Synergy cloud-based services as the first example of LAGO' frameworks that will follow the FAIR principles, enabling the provenance, data-curation and re-using of data. Moreover, we show how this deployment could help not only LAGO data production and analysis but other data-intensive cosmic rays observatories and muography experiments.
Big-dat; cloud-services; EOSC; astroparticle data; astroparticle simulations
|Subcategory||Experimental Methods & Instrumentation|
|Collaboration||other (fill field below)|