schechter.bin: Calculate Schechter Function Binned Variables

Description

This function calculates a Schechter function fit to a set of input data.

schechter.bin(data, vmax = NA, range = range(data), lim1 = NA,  lim2 = NA, numlim = 1, volume = max(vmax), bw = 0.1,  null = 1E-9)

data

input data vector

vmax

vector of maximum comoving volumes within which object could lie

range

data range of interest

lim1

lower data limit for fitting

lim2

upper data limit for fitting

numlim

lower number (per bin) limit for fitting

volume

total volume across which the data has been collected (default 1 if vmax = NA)

bin width sizes

null

value of null

bins: bin boundaries
binmid: bin midpoints
binlo: bin lower boundaries
binhi: bin upper boundaries
num: number per bin (note: if using vmax values, these are weights)
den: density per bin
err: error per bin
errlo: lower error limit
errhi: upper error limit
fitbinmid: bin midpoints after data limits applied
fitbinlo: bin lower boundaries after data limits applied
fitbinhi: bin upper boundaries after data limits applied
fitnum: number per bin after data limits applied (note: if using vmax values, these are weights)
fitden: density per bin after data limits applied
fiterr: error per bin after data limits applied
fiterrlo: lower error limit after data limits applied
fiterrhi: upper error limit after data limits applied

Blanton M. R., Lupton R. H., Schlegel D. J., Strauss M. A., Brinkmann J., Fukugita M., Loveday J., 2005, ApJ, 631, 208

Driver S. P., Popescu C. C., Tuffs R. J., Graham A. W., Liske J., Baldry I., 2008, ApJ, 678, L101

Baldry I. K. Driver S. P., Loveday J., et al., 2012, MNRAS, 421, 621