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Journal Articles CODATA Data Science Journal Year : 2020

MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy

Jeremy Faden
  • Function : Author
Chris Piker
  • Function : Author
Vincent Génot
  • Function : Author
Joseph Mafi
  • Function : Author
Todd King
  • Function : Author
Jim Sky
  • Function : Author
Markus Demleitner
  • Function : Author


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.
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hal-03228972 , version 1 (19-05-2021)





Baptiste Cecconi, Alan Loh, Pierre Le Sidaner, Renaud Savalle, Xavier Bonnin, et al.. MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy. CODATA Data Science Journal, 2020, 19, ⟨10.5334/dsj-2020-012⟩. ⟨hal-03228972⟩
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