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Information content of optical data with respect to aerosol properties: numerical studies with a randomized
Applied Optics
|March 24, 2010
Summary
This study explores optical data for particle size distribution analysis. An iterative algorithm determines the particle size range for accurate inversion of optical properties.
Area of Science:
- Optical physics
- Particle characterization
- Data inversion techniques
Background:
- Particle size distribution (PSD) is crucial in various scientific fields.
- Optical properties are often used to infer PSD.
- Challenges exist in accurately retrieving PSD from optical data.
Purpose of the Study:
- To numerically investigate the information content of optical data for PSD.
- To identify the particle size range suitable for inversion.
- To develop and validate an algorithm for PSD retrieval.
Main Methods:
- Analysis of integral equation kernels relating optical properties and PSD.
- Development of an iterative least squares fit algorithm.
- Utilizing synthetic data calculated via Mie theory for validation.
Main Results:
- Kernels effectively determine the feasible particle size range for inversion.
- The iterative algorithm successfully inverts optical data into histogram PSD.
- Solution uniqueness and stability are analyzed concerning radii range and histogram resolution.
Conclusions:
- Optical data contains significant information for PSD determination.
- The developed iterative method provides a robust approach for PSD retrieval.
- Understanding the limitations of inversion based on radii and resolution is key.
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