MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy. (18th March 2020)

• Record Type: Journal Article
• Authors: Cecconi, Baptiste; Loh, Alan; Le Sidaner, Pierre; Savalle, Renaud; Bonnin, Xavier; Nguyen, Quynh Nhu; Lion, Sonny; Shih, Albert; Aicardi, Stéphane; Zarka, Philippe; Louis, Corentin; Coffre, Andrée; Lamy, Laurent; Denis, Laurent; Grießmeier, Jean-Mathias; Faden, Jeremy; Piker, Chris; André, Nicolas; Génot, Vincent; Erard, Stéphane; Mafi, Joseph N.; King, Todd A.; Sky, Jim; Demleitner, Markus
• Is Part Of: Data science journal. Volume 19(2020)
• Publication Date: 2020-03-18
• Subjects: Radio astronomy -- Tools -- Interoperability; Science -- Data processing -- Periodicals; Database management -- Periodicals; 502.85
• DOI: 10.5334/dsj-2020-012
• Languages: English
• ISSNs: 1683-1470

Abstract

MASER (Measurements, Analysis, and Simulation of Emission in the Radio range) is a comprehensive infrastructure dedicated to time-dependent low frequency radio astronomy (up to about 50 MHz). The main radio sources observed in this spectral range are the Sun, the magnetized planets (Earth, Jupiter, Saturn), and our Galaxy, which are observed either from ground or space. Ground observatories can capture high resolution data streams with a high sensitivity. Conversely, space-borne instruments can observe below the ionospheric cut-off (at about 10 MHz) and can be placed closer to the studied object. Several tools have been developed in the last decade for sharing space physics data. Data visualization tools developed by various institutes are available to share, display and analyse space physics time series and spectrograms. The MASER team has selected a sub-set of those tools and applied them to low frequency radio astronomy. MASER also includes a Python software library for reading raw data from agency archives.