WALLABY Pre-pilot Survey: The Effects of Tidal Interaction on Radial Distribution of Color in Galaxies of the Eridanus Supergroup.
Wang et al. 2022. ApJ, DOI:10.3847/1538-4357/ac4270
The Westerbork Coma Survey. A blind, deep, high-resolution H I survey of the Coma cluster.
Molnár et al. 2022 A&A, DOI: 10.1051/0004-6361/202142614
Dpt. Astronomía Extragaláctica
Instituto Astrofísica Andalucía
Glorieta de la Astronomía s/n
18008 Granada
Spain
Calibration of LOFAR ELAIS-N1 data in the Amazon cloudThe International LOFAR Telescope is a next-generation software-driven telescope operating in the poorly explored 30–240 MHz frequency range. With an unprecedented field of view, and multiple beams, LOFAR is opening up a completely new phase of radio astrophysics, as well as being both a scientific and technical pathfinder instrument for the SKA. However, the calibration of LOFAR data presents several challenges:
All of these challenges will also apply to SKA data. Recently, an innovative calibration strategy, able to reach the theoretical noise limit, has been developed. The cloud infrastructure of Amazon Web Services (AWS) provides a parallelizable (distributed) solution ideal to solve the problems with the data management, the computing constrains and the way the specialized software is dealt with. With this project we aim to:
This project, which is led by the University of Edinburgh, has been granted in the AstroCompute in the Cloud call by Amazon Web Services and the SKA Office. AMIGA participates in this project providing its expertise on porting astronomical applications to distributed computing infrastructures as the Cloud systems. Other resources:
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