Adaptive spatial binning of integral-field spectroscopic data using Voronoi tessellations

We present new techniques to perform adaptive spatial binning of Integral-Field Spectroscopic (IFS) data to reach a chosen constant signal-to-noise ratio per bin. These methods are required for the proper analysis of IFS observations, but can also be used for standard photometric imagery or any othe...

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Bibliographic Details
Published inMonthly notices of the Royal Astronomical Society Vol. 342; no. 2; pp. 345 - 354
Main Authors Cappellari, Michele, Copin, Yannick
Format Journal Article
LanguageEnglish
Published Oxford, UK Blackwell Science Ltd 21.06.2003
Subjects
methods: data analysis
techniques: photometric
techniques: spectroscopic
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Summary:We present new techniques to perform adaptive spatial binning of Integral-Field Spectroscopic (IFS) data to reach a chosen constant signal-to-noise ratio per bin. These methods are required for the proper analysis of IFS observations, but can also be used for standard photometric imagery or any other two-dimensional data. Various schemes are tested and compared by binning and extracting the stellar kinematics of the Sa galaxy NGC 2273 from spectra obtained with the panoramic IFS SAURON.
Bibliography:istex:4C38B32906D2F05CB26DC569D18F721B8DCF519B
European Space Agency external fellow.
ark:/67375/HXZ-Z0QJNLQT-K
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0035-8711
1365-2966
DOI:10.1046/j.1365-8711.2003.06541.x