Abstract
Two projects included in the OBELICS work package of the ASTERICS cluster will be described: CORELib and ROAst. CORELib is a collection of simulated showers induced by primary cosmic rays and a common framework to produce and manage such large production. CORELib provides high-statistics simulation for various astroparticle and astronomy experiments. The simulations are obtained by employing the widely used CORSIKA simulation framework. The parameters of simulations are available and easily accessible to the users. The goal of ROAst (ROot extension for Astronomy) is to extend the ROOT capabilities adding packages and tools for astrophysical research “bridging” the gap between particle physics and astronomy. The focus is on astronomical catalogues integration and on the support for astronomical coordinate transformations, manipulations as well as the graphical representation of astronomical regions of the sky.
Highlights
Two projects included in the OBELICS work package of the ASTERICS cluster will be described: CORELib and ROAst
CORELib is a collection of simulated showers induced by primary cosmic rays and a common framework to produce and manage such large production
ASTERICS aims at addressing the synergies and common challenges shared by various Astronomy ESFRI facilities (SKA, CTA, KM3NeT and ELT)
Summary
ASTERICS aims at addressing the synergies and common challenges shared by various Astronomy ESFRI facilities (SKA, CTA, KM3NeT and ELT). It brings together the communities of particle astrophysics, astronomy and astrophysics, as well as other related research infrastructures. The major tasks of ASTERICS are to support and accelerate the implementation of the ESFRI telescopes, to enhance their performance beyond the current state-of-the-art, and to enable interoperation as an integrated, multi-wavelength and multimessenger facility. The ASTERICS task 3.4 (Data ANAlysis/interpretation, D-ANA) is focused on two main themes: tools to analyse and interpret astronomical/astroparticle observations in an efficient manner and tools for accessing to these observations in an appropriate way, allowing efficient remote and distributed analysis. In this report two projects are presented that are being developed, namely CORELib and ROAst
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