Virtual Observatory
Performing astronomical data analysis using only personal computers is becoming impractical for the very large data sets produced nowadays. As analysis is not a task that can be automatized to its full extent, the idea of moving processing where the …
Data discovery within large archives is a key issue for modern astronomy: multi-source, multi-wavelength, multi-instrument and large-scale verifications need proper data discovery tools for filtering the very large datasets of observations available …
Jupyter notebooks have proven to be a powerful tool for teaching science, because they handle executable code snippets, context environments, visualiza-tion, equations and explanatory text, all within the same web-interface. We propose extending its …
The era of digital astronomy has produced a large number of software for data analysis, reduction, control, visualization, among others. Most of these projects are open source, so one would optimistically expect a widespread practice of legacy code …
The main objective of the Advanced Computational Astronomy Library (ACALib) is to ensemble a coherent software package with the research on computational methods for astronomy performed by the first phase of the Chilean Virtual Observatory between …
Currently, the standards and protocols for data access in the Virtual Observatory architecture (DAL) are generally implemented with relational databases based on SQL. In particular, the Astronomical Data Query Language (ADQL), language used by IVOA …
The success of an observatory is usually measured by its impact in the scientific community, so a common objective is to provide transparent ways to access the generated data. The Chilean Virtual Observatory (ChiVO), started working in the …