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  Mixture modeling for background and sources separation in x-ray astronomical images

Guglielmetti, F., Fischer, R., & Dose, V. (2004). Mixture modeling for background and sources separation in x-ray astronomical images. In R. Fischer, R. Preuss, & U. v. Toussaint (Eds.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering (pp. 111-118). Melville, NY: American Institute of Physics.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0011-E4B8-B Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0011-E4B9-9
Genre: Conference Paper

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 Creators:
Guglielmetti, F.1, Author              
Fischer, R., Author
Dose, V., Author
Affiliations:
1High Energy Astrophysics, MPI for Extraterrestrial Physics, Max Planck Society, ou_159890              

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Language(s): eng - English
 Dates: 2004
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: eDoc: 248346
Other: MA 20/117, p.111-118
 Degree: -

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Title: 24th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt '04)
Place of Event: Garching bei München
Start-/End Date: 2004-07-25 - 2004-07-30

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Source 1

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Title: Bayesian Inference and Maximum Entropy Methods in Science and Engineering
Source Genre: Proceedings
 Creator(s):
Fischer, R., Editor
Preuss, R., Editor
Toussaint, U. von, Editor
Affiliations:
-
Publ. Info: Melville, NY : American Institute of Physics
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 111 - 118 Identifier: ISBN: 0-7354-0217-5

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Title: AIP Conference Proceedings
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 735 Sequence Number: - Start / End Page: - Identifier: -