Oct 19 – 22, 2020
UTC timezone

MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy

Oct 21, 2020, 1:30 PM


Baptiste Cecconi (LESIA - Observatoire de Paris - PSL)


MASER (Measuring, Analysing and Simulating Radio Emissions) provides a comprehensive infrastructure dedicated to low frequency radio emissions (typically < 50 to 100 MHz). The four main radio sources observed in this frequency are the Earth, the Sun, Jupiter and Saturn. They are observed either from ground (down to 10 MHz) or from space (down to a few kHz). Ground observatories are more sensitive than space observatories and capture high resolution data streams (up to a few TB per day for modern instruments). Conversely, space-borne instruments can observe below the ionospheric cut-off (10 MHz) and can be placed closer to the studied object.
Several tools have been developed in the last decade for sharing space physcis data. Data visualization tools developed by the CDPP (Centre de Données de la Physique des Plasmas, in Toulouse, France) and the University of Iowa (Autoplot) are available to display and analyse space physics time series and spectrograms. A planetary radio emission simulation software is developed in LESIA (ExPRES: Exoplanetary and Planetary Radio Emission Simulator). The VESPA (Virtual European Solar and Planetary Access) provides a search interface that allows to discover data of interest for scientific users, and is based on IVOA standards (astronomical International Virtual Observatory Alliance). The University of Iowa also develops Das2 that allows to distribute data with adjustable temporal resolution.

MASER is making use of all these tools and standards to distribute datasets from space and ground radio instruments available from the Observatoire de Paris, the Station de Radioastronomie de Nançay and the CDPP deep archive. These datasets include Cassini/RPWS, STEREO/Waves, WIND/Waves, Ulysses/URAP, ISEE3/SBH, Voyager/PRA, Nançay Decameter Array (Routine, NewRoutine, JunoN), RadioJove archive, swedish Viking mission, Interball/POLRAD... MASER also includes a Python software library for reading raw data.

This work is supported by CDPP, CNES, PADC, Europlanet-2020-RI and Europlanet-2024-RI. The Europlanet 2020 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654208. The Europlanet-2024 Research Infrastructure project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 871149.

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Primary authors

Baptiste Cecconi (LESIA - Observatoire de Paris - PSL) Alan Loh (LESIA - Observatoire de Paris - PSL) Pierre Le Sidaner (DIO - Observatoire de Paris - PSL) Stéphane Aicardi (DIO - Observatoire de Paris - PSL) Renaud Savalle (DIO - Observatoire de Paris - PSL) Xavier Bonnin (LESIA - Observatoire de Paris - PSL) Quynh Nhu Nguyen (LESIA - Observatoire de Paris - PSL) Sonny Lion (LESIA - Observatoire de Paris - PSL) Albert Shih (DIO - Observatoire de Paris - PSL) Philippe Zarka (LESIA - Observatoire de Paris - PSL) Corentin Louis (IRAP - CNES / CNRS) Laurent Lamy (LESIA - Observatoire de Paris - PSL) Jean-Mathias Grießmeier (LPC2E - Univ. d'Orléans) Jeremy Faden (University of Iowa) Christopher Piker (University of Iowa) Nicolas André (IRAP - CNRS) Stéphane Erard (LESIA - Observatoire de Paris - PSL) Vincent Génot (IRAP - CNRS) Joseph Mafi (UCLA) Mark Sharlow (UCLA) Jim Sky (Radiosky Publishing)

Presentation materials