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We introduce an algorithm to estimate the redshift distribution of a sampleof galaxies selected photometrically given a subsample with measuredspectroscopic redshifts. The approach uses a non-parametric Voronoitessellation density estimator to interpolate the galaxy distribution in theredshift and photometric color space. We test the method on a mock dataset witha known color-redshift distribution. We find that the Voronoi tessellationestimator performs well at reconstructing the tails of the redshiftdistribution of individual galaxies and gives unbiased estimates of the firstand second moments. The source code is publicly available athttp://bitbucket.org/bengranett/tailz.

Probing the sparse tails of redshift distributions with Voronoi tessellations