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We simulate the performance of a new type of instrument, a SuperconductingMulti-Object Spectrograph (SuperMOS), that uses Microwave Kinetic InductanceDetectors (MKIDs). MKIDs, a new detector technology, feature good QE in theUVOIR, can count individual photons with microsecond timing accuracy and, likeX-ray calorimeters, determine their energy to several percent. The performanceof Giga-z, a SuperMOS designed for wide field imaging follow-up observations,is evaluated using simulated observations of the COSMOS mock catalog with anarray of 100,000 R_{423 nm} = E/\Delta E = 30 MKID pixels. We compare ourresults against a simultaneous simulation of LSST observations. In three yearson a dedicated 4 m-class telescope, Giga-z could observe ~ 2 billion galaxies,yielding a low resolution spectral energy distribution (SED) spanning 350 -1350 nm for each; 1000 times the number measured with any currently proposedLSST spectroscopic follow-up, at a fraction of the cost and time. Giga-z wouldprovide redshifts for galaxies up to z ~ 6 with magnitudes m_i < 25, withaccuracy \sigma_{\Delta z/(1+z)} = 0.03 for the whole sample, and\sigma_{\Delta z/(1+z)} = 0.007 for a select subset. We also find catastrophicfailure rates and biases that are consistently lower than for LSST. The addedconstraint on Dark Energy parameters for WL+CMB by Giga-z using the FoMSWGdefault model is equivalent to multiplying the LSST Fisher matrix by a factorof \alpha = 1.27 (w_p), 1.53 (w_a), or 1.98 (\Delta \gamma). This is equivalentto multiplying both the LSST coverage area and the training sets by \alpha, andreducing all systematics by a factor of 1/sqrt(\alpha), advantages that arerobust to even more extreme models of intrinsic alignment.

Giga-z: A 100,000 Object Superconducting Spectrophotometer for LSST Follow-up