Adaptive Resolution Access for Low Frequency Radio Times Series and Spectrograms
Low frequency radio data collections from ground observatories or space missions are covering long time intervals (several years or decades) split into a large number of files. Searching for events or statistical analysis on such collections raises an immediate issue: downloading a large number of files or a huge data volume for recent datasets. We have selected a set of tools (client and server side, developed by University of Iowa), which allows to transmit data with adaptive temporal resolution, with a smart resampling on server-side. This setup is perfectly fit to modern radioastronomy data repositories serving times series or temporal spectrograms (such as beam-formed datasets). We will show use cases on several data collections (ground and space based) including NenuFAR, a SKA Pathfinder.
