2 ANISOTROPIC CLUSTERING METHODS  
2.1 Parameterization  
2.2 Clustering Estimators  

3 ANALYSIS  
3.1 Fiducial Cosmology  
3.2 Measuring Correlation Function  
3.3 Data  
3.4 Simulations  
3.5 Covariance  
3.6 Reconstruction  

4 FITTING METHODOLOGY  
4.1 Model for the Correlation Function  
4.2 Overall Fitting Methodology  
4.3 Fiducial Fitting Methodology Model Parameters  
4.4 Sigma Estimation  

5 ξ(r) SYSTEMATICS ON MULTIPOLES FITTING  
5.1 Model Templates and Parameterization of Anisotropic Clustering  
5.2 Fitting Range and Bin Size  
5.3 Nuisance Terms Model  
5.4 Priors  
5.5 Streaming Models  
5.6 Nonlinear Damping Model Parameters  
5.7 Covariance Matrix Corrections  
5.8 Grid Sizes in Likelihood Surfaces  

6 RESULTS FROM THE MOCKS  
6.1 Fiducial Results  
6.2 Potential Systematics on the Fitting Results  
6.3 Discussion of Individual Robustness Tests  

7 COMPARISON WITH OTHER METHODOLOGIES  
7.1 Results from the Mocks  

8 RESULTS WITH THE DATA  
8.1 Robustness Test on Data  
8.2 Data Results with Different Methodologies  
8.3 Combining Results from Different Methodologies  
8.4 Isotropic vs Anisotropic Results  

9 DISCUSSION AND CONCLUSIONS