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

By M. Cappellari, Y. Copin. 2003

904 citations recorded by the source corpus.

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.

Subfields: Astronomy and Astrophysics, Ecology, Instrumentation

View Paper: https://www.semanticscholar.org/paper/6992516843c531045f5a7604671ad466b4c0be0f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Astronomy and Astrophysics

  1. M. Cappellari
  2. P. Hopkins
  3. L. Hernquist
  4. C. Conroy
  5. R. Somerville
  6. R. Dav'e
  7. T. Naab
  8. P. V. van Dokkum

In Ecology

  1. M. Blanton
  2. F. V. D. Bosch
  3. H. Mo
  4. Xiaohu Yang
  5. J. Brinkmann
  6. G. Kauffmann
  7. M. Cappellari
  8. H. Böhringer

In Instrumentation

  1. M. Cappellari
  2. P. Hopkins
  3. C. Conroy
  4. L. Hernquist
  5. P. V. van Dokkum
  6. T. Naab
  7. A. Dekel
  8. R. Somerville

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