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Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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Published on: April 8, 2020

Objective algorithms for the aerosol problem.

U Amato, M F Carfora, V Cuomo

    Applied Optics
    |November 10, 2010
    PubMed
    Summary
    This summary is machine-generated.

    Objective methods for retrieving aerosol size distribution from ground-level optical measurements are presented. These new techniques improve accuracy without researcher intervention, offering better atmospheric particle analysis.

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    A System to Create Stable Nanoparticle Aerosols from Nanopowders
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    Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
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    Published on: April 8, 2020

    A System to Create Stable Nanoparticle Aerosols from Nanopowders
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    A System to Create Stable Nanoparticle Aerosols from Nanopowders

    Published on: July 26, 2016

    Area of Science:

    • Atmospheric Science
    • Optical Physics
    • Aerosol Science

    Background:

    • Retrieving aerosol size distribution from ground-level optical measurements is a complex challenge.
    • Currently, objective, researcher-independent methods for this task are lacking.

    Purpose of the Study:

    • To develop and evaluate objective mathematical and physical methods for aerosol size distribution retrieval.
    • To present the top performance of these novel objective inversion techniques.

    Main Methods:

    • Development of several objective inversion algorithms based on mathematical and physical principles.
    • Evaluation of the accuracy of proposed objective methods.
    • Demonstration of inversions using experimental optical depth data.

    Main Results:

    • Proposed objective methods demonstrate improved accuracy in retrieving aerosol size distribution.
    • The top performance of these objective inversion techniques is identified.
    • Physical and experimental insights are provided for further accuracy enhancement.

    Conclusions:

    • Objective methods offer a viable solution for aerosol size distribution retrieval from optical data.
    • The developed techniques provide a foundation for more accurate atmospheric particle characterization.
    • Further improvements are possible through physical and experimental refinements.