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<h1 class="declaration">function voronoi</h1>
<p>
Perform adaptive spatial binning of Integral-Field Spectroscopic (IFS) data to reach a chosen constant signal-to-noise ratio per bin. This method is required for the proper analysis of IFS observations, but can also be used for standard photometric imagery or any other two-dimensional data. Further information on VORONOI_2D_BINNING algorithm can be found in Cappellari M., Copin Y., 2003, MNRAS, 342, 345
<br><br><b><font size=+2>Syntax</font></b><br>
<i>result</i> = voronoi(signal, noise, target, targetSN [, /map])
<br><br><b><font size=+2>Arguments</font></b><br>
<table CELLSPACING=0 CELLPADDING=0>
<tr VALIGN=TOP><td nowrap>signal: </td>
<td> A 2D map with the signal in each pixel</td></tr>
<tr VALIGN=TOP><td nowrap>noise: </td>
<td> A 2D map specifying the noise in each pixel. Pixels with a noise value of zero will be neglected in the voronoi binning</td></tr>
<tr VALIGN=TOP><td nowrap>target: </td>
<td> The image which should be binned (can be the same as the signal map)</td></tr>
<tr VALIGN=TOP><td nowrap>targetSN: </td>
<td> The Signal/Noise value which should be reached</td></tr>
</table>
<br><br><b><font size=+2>Switches</font></b><br>
<table CELLSPACING=0 CELLPADDING=0>
<tr VALIGN=TOP><td nowrap>/map: </td>
<td> Instead of applying the binning to an image, return a map with regions and their respective IDs</td></tr>
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<br><br><b><font size=+2>Returns</font></b><br>
Either the binned image or the map of regions
<br><br><b><font size=+2>Notes</font></b><br>
The original IDL code was written by Michele Cappellari, Leiden Observatory, The Netherlands cappellari@strw.leidenuniv.nl. If you have found this software useful for your research, he would appreciate an acknowledgment to use of `the Voronoi 2D-binning method by Cappellari & Copin (2003)'.
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Copyright © Thomas Ott ---- DPUSER - The Next Generation 3.3 (Rev. )
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