1 INTRODUCTION

2 DES-SN DATA AND SIMULATIONS  
2.1 The DES photometric SN sample  
2.2 Simulations  
2.3 SN light-curve fitting and selection  

3 COSMOLOGICAL ANALYSIS FRAMEWORK  
3.1 Distance estimation  
3.2 The BEAMS likelihood  
3.3 Modelling the contamination likelihood  
3.4 Bias corrections  
3.5 Outlier rejection: Chauvenet’s criterion  
3.6 Cosmological parameter estimation  

4 PHOTOMETRIC CLASSIFICATION  
4.1 SuperNNova  
4.2 Training of SNN  
4.3 Contamination and Efficiency  
4.4 Effects of BBC bias corrections on contamination  
4.5 Comparison with the data  

5 BIASES ON COSMOLOGICAL PARAMETERS  
5.1 Biases for a flat $w$ CDM model  
5.2 Systematic uncertainties associated with contamination  
5.3 Biases for a time-varying $w_{0}/w_{a}$ model  

6 CONCLUSIONS