Better idea for matching randoms

A better idea for the random points (see last entry):

Take the bin in redshift for which the histogram of the lenses
is highest relative to the randoms. For that bin we will keep
100% of the randoms. Normalize the ratio of lens to random histograms
to 1 at this bin. Then the value of the ratio in the other bins is the
fraction of randoms you will keep from that bin. This maximizes the
number of randoms you will use and reproduces the histogram.

I'm matching to randoms as I write this.

Erin