1. INTRODUCTION

2. OBSERVATIONS  
2.1. Search Frame Selection  
2.2. Object Selection  
2.3. Dynamical Classification  

3. ANALYTICAL FRAMEWORK  
3.1. Probabilities of Detection  
3.2. Range of Normalization  

4. NUMERICAL IMPLEMENTATION  
4.1. Calculating Detection Probabilities  
4.2. Estimating Size Distribution  

5. HOT AND COLD CLASSICAL POPULATIONS

6. COMPARISON TO THEORY  
6.1. Chaotic Capture  
6.2. Location of the Power Law Break  

7. CONCLUSIONS