The International Virtual Observatory Alliance (IVOA) has developed and built, in the last two decades, an ecosystem of distributed resources, interoperable and based upon open shared technological standards. In doing so the IVOA has anticipated, putting into practice for the astrophysical domain, the ideas of FAIR-ness of data and service resources and the Open-ness of sharing scientific results, leveraging on the underlying open standards required to fill the above. In Europe, efforts in supporting and developing the ecosystem proposed by the IVOA specifications has been provided by a continuous set of EU funded projects up to current H2020 ESCAPE ESFRI cluster. In the meantime, in the last years, Europe has realised the importance of promoting the Open Science approach for the research communities and started the European Open Science Cloud (EOSC) project to create a distributed environment for research data, services and communities. In this framework the European VO community, had to face the move from the interoperability scenario in the astrophysics domain into a larger audience perspective that includes a cross-domain FAIR approach. Within the ESCAPE project the CEVO Work Package (Connecting ESFRI to EOSC through the VO) has one task to deal with this integration challenge: a challenge where an existing, mature, distributed e-infrastructure has to be matched to a forming, more general architecture. CEVO started its works in the first months of 2019 and has already worked on the integration of the VO Registry into the EOSC e-infrastructure. This contribution reports on the first year and a half of integration activities, that involve applications, services and resources being aware of the VO scenario and compatible with the EOSC architecture. Within the H2020 ESCAPE project, the "CEVO" WP has one task to deal with this challenge of integrating an existing, mature, distributed e-infrastructure to a forming, more general one. CEVO has already worked on the integration of the VO Registry into the EOSC e-infrastructure. This contribution reports on the full first year of integration acitivities.
Astrocook is a software environment to analyze quasar spectra in a variety of ways. It aims to break the static pipeline paradigm by enforcing a new flexible approach to data treatment, in which complex automatic workflows are dynamically created from a wide set of atomic operations (hence the tagline: “a thousand recipes to cook a spectrum”). We will focus both on the novel algorithms that have been implemented and on the scientific validation and reproducibility of the results. To highlight the benefits of the Astrocook approach for both interactive and automatic analysis, two specific use cases are discussed (one of which was used in practice to process observational data from the QUBRICS survey).
Astrocook is a new Python package to analyze the spectra of quasi-stellar objects (QSOs) from the near-UV band to the near-infrared band. The project stems from the lessons learned in developing the data analysis software for the VLT ESPRESSO spectrograph. The idea is to leverage numerical libraries like SciPy, NumPy, and Lmfit and astronomical libraries like Astropy to produce a collection of high-level recipes capable of interpreting the features observed in QSO spectra (such as the emission continuum and the absorption systems) in an automated and validated way. The package provides great flexibility in designing the operational workflow, as well as a set of interactive tools to apply the recipes in a seamless way. The aim is to achieve the combination of accuracy, stability, and repeatability of the procedure that is required by several compelling science cases in the era of ”precision cosmology” (e.g. the measurement of a possible variability in the value of fundamental constants, and the direct measurement of the accelerated expansion of the Universe).
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