1 INTRODUCTION

2 THE DARK ENERGY SURVEY (DES)

3 THE VISTA HEMISPHERE SURVEY (VHS)

4 SIMULATING MOCK DATA
4.1 DES5yr Sample
4.2 JPL Mock Catalogue

5 ESTIMATING PHOTOMETRIC REDSHIFTS USING ARTIFICIAL NEURAL NETWORKS: ANNZ

6 PHOTOMETRIC REDSHIFT ANALYSIS
6.1 Choice of Filters
6.2 Impact of Galactic Reddening
6.3 Clipped Catalogues
6.4 Impact of Training Sets

7 IMPLICATIONS FOR COSMOLOGY
7.1 Optimal Estimation of the Galaxy Power Spectrum
7.2 Effect of Photometric Redshift Bias on Dark Energy Equation of State

8 CONCLUSIONS