WVT Binning: Spatially adaptive 2-D binning

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WVT Binning: Spatially adaptive 2-D binning

Post by owlice » Tue Nov 27, 2012 2:55 am

WVT Binning: Spatially adaptive 2-D binning

Abstract: WVT Binning is a spatially adaptive 2-dimensional binning algorithm designed to bin sparse X-ray data. It can handle background subtracted, exposure corrected data to produce intensity images, hardness ratio maps, or temperature maps. The algorithm is an extension of Cappellari & Copin's (2003) <a href="http://ascl.net/1211.006">Voronoi binning code</a> and uses Weighted Voronoi Tesselations (WVT) to produce a very compact binning structure with a constant S/N per bin. The bin size adjusts to the required resolution in single-pixel steps, which minimizes the scatter around the target S/N. The code is very versatile and can in principle be applied to any type of data. The user manual contains instructions on how to apply the WVT binning code to X-ray data and how to extend the algorithm to other problems.

Credit: Diehl, Steven; Statler, Thomas S.

Site: http://www.phy.ohio.edu/~diehl/WVT/
http://adsabs.harvard.edu/abs/2006MNRAS.368..497D

Bibcode: 2012ascl.soft11003D

Preferred citation method: "We made use of the WVT binning algorithm by Diehl & Statler (2006), which is a generalization of Cappellari & Copin's (2003) Voronoi binning algorithm." and citations to 2006MNRAS.368..497D and 2003MNRAS.342..345C

ID: ascl:1211.003
Last edited by Ada Coda on Sun May 09, 2021 10:22 pm, edited 1 time in total.
Reason: Updated code entry.
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