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  Sharpening up Galactic all-sky maps with complementary data - A machine learning approach

Müller, A., Hackstein, M., Greiner, M., Frank, P., Bomans, D. J., Dettmar, R.-J., et al. (2018). Sharpening up Galactic all-sky maps with complementary data - A machine learning approach. Astronomy and Astrophysics, 620: A64. doi:10.1051/0004-6361/201833604.

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Sharpening up Galactic all-sky maps with complementary data.pdf (Any fulltext), 23MB
 
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 Creators:
Müller, Ancla, Author
Hackstein, Moritz, Author
Greiner, Maksim, Author
Frank, Philipp1, Author           
Bomans, Dominik J., Author
Dettmar, Ralf-Jürgen, Author
Enßlin, Torsten1, Author           
Affiliations:
1Computational Structure Formation, MPI for Astrophysics, Max Planck Society, ou_2205642              

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 Dates: 2018-11-30
 Publication Status: Published online
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 Identifiers: DOI: 10.1051/0004-6361/201833604
Other: LOCALID: 3039468
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Title: Astronomy and Astrophysics
  Other : Astron. Astrophys.
Source Genre: Journal
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Publ. Info: France : EDP Sciences S A
Pages: - Volume / Issue: 620 Sequence Number: A64 Start / End Page: - Identifier: ISSN: 1432-0746
CoNE: https://pure.mpg.de/cone/journals/resource/954922828219_1