1. Introduction 2. Theoretical Framework 2.1. Basics of Dark Matter 2.2. Theories on Dark Matter Anomalies 2.3. Role of Astrophysics in Dark Matter Study 3. Methodology 3.1. Data Collection Techniques 3.2. Observation Instruments and Tools 3.3. Data Analysis Methods 4. Advanced Astrophysical Observation 4.1. Space-based Observation Platforms 4.2. Ground-based Telescope Networks 4.3. Multi-wavelength Observation Studies 5. Case Studies of Anomalies 5.1. Historical Dark Matter Anomalies 5.2. Recent Observations and Discoveries 5.3. Comparative Analysis of Anomaly Cases 6. Data Analysis Techniques 6.1. Statistical Methods in Astrophysics 6.2. Simulation in Data Interpretation 6.3. Machine Learning Applications 7. Findings and Discussion 7.1. Insights from Observational Data 7.2. Limitations of Current Knowledge 7.3. Implications for Future Research 8. Conclusion and Recommendations 8.1. Summary of Key Findings 8.2. Technological Advancements Needed 8.3. Directions for Future Studies
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