دورية أكاديمية

MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy

التفاصيل البيبلوغرافية
العنوان: MASER: A Science Ready Toolbox for Low Frequency Radio Astronomy
المؤلفون: Baptiste Cecconi, Alan Loh, Pierre Le Sidaner, Renaud Savalle, Xavier Bonnin, Quynh Nhu Nguyen, Sonny Lion, Albert Shih, Stéphane Aicardi, Philippe Zarka, Corentin Louis, Andrée Coffre, Laurent Lamy, Laurent Denis, Jean-Mathias Grießmeier, Jeremy Faden, Chris Piker, Nicolas André, Vincent Génot, Stéphane Erard, Joseph N. Mafi, Todd A. King, Jim Sky, Markus Demleitner
المصدر: Data Science Journal, Vol 19, Iss 1 (2020)
بيانات النشر: Ubiquity Press, 2020.
سنة النشر: 2020
المجموعة: LCC:Science (General)
مصطلحات موضوعية: radio astronomy, tools, interoperability, Science (General), Q1-390
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1683-1470
العلاقة: https://datascience.codata.org/articles/1118Test; https://doaj.org/toc/1683-1470Test
DOI: 10.5334/dsj-2020-012
الوصول الحر: https://doaj.org/article/f84c8f97bedb49708ace4b9ed742d98aTest
رقم الانضمام: edsdoj.f84c8f97bedb49708ace4b9ed742d98a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16831470
DOI:10.5334/dsj-2020-012