1 INTRODUCTION

2 DATA

3 LINEAR FITTING METHOD

3.1 Basic Equations

3.2 Estimating the errors

3.3 Background or other source terms

4 OPTIMISING THE INPUT LIST

4.1 Segmenting the map

4.2 Using model selection for source detection

4.3 Weighting the input list

5 THE HERMES CROSS-IDENTIFICATION ALGORITHM

5.1 Step-by-step description of HerMES XID algorithm

5.2 Initial results from processing HerMES observations

6 TESTING ON SIMULATIONS

7 TESTING ON REAL DATA

8 THE EFFECT OF INCOMPLETE 24 μm INPUT LISTS

9 FUTURE WORK

10 CONCLUSIONS