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Scientific computing for astrophysical map analysis

Academic Article
Publication Date:
2010
abstract:
A research team at the Signal and Image Processing Lab of ISTI-CNR has been involved in studying data analysis algorithms for the European Space Agency's Planck Surveyor Satellite since 1999. The huge amount of data on the cosmic microwave background radiation provided by the Planck sensors requires very efficient analysis algorithms and high-performance computing facilities. The CNR group has proposed some of the source separation procedures that are now operational at the Planck data processing centre in Trieste, Italy.
Iris type:
01.01 Articolo in rivista
Keywords:
Scientific computing; Blind source separation; Astrophysical image processing
List of contributors:
Salerno, Emanuele
Handle:
https://iris.cnr.it/handle/20.500.14243/63060
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/63060/85982/prod_68494-doc_131009.pdf
Published in:
ERCIM NEWS
Journal
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URL

https://ercim-news.ercim.eu/en81/special/scientific-computing-for-astrophysical-map-analysis
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