We investigate the potential of a future supernova data set. as might be ob
tained by the proposed SNAP satellite, to discriminate among different "dar
k energy" theories that describe an accelerating Universe. We find that man
y such models can be distinguished with a fit to the effective pressure-to-
density ratio rr of this energy. More models can be distinguished when the
effective slope dw/dz of a changing rt is also fit, but only if our knowled
ge of the current mass density Omega (m) is improved. We investigate the us
e of "fitting functions" to interpret luminosity distance data from superno
va searches.