IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-43544-7_12.html
   My bibliography  Save this book chapter

Particle Collision Algorithm

In: Computational Intelligence Applied to Inverse Problems in Radiative Transfer

Author

Listed:
  • Wagner Figueiredo Sacco

    (Federal Fluminense University (UFF))

  • Diego Campos Knupp

    (Rio de Janeiro State University)

  • Eduardo Fávero Pacheco da Luz

    (National Center for Monitoring and Early Warning of Natural Hazards (CEMADEN))

  • José Carlos Becceneri

    (National Institute for Space Research (INPE))

  • Haroldo Fraga de Campos Velho

    (National Institute for Space Research (INPE))

  • Antônio José da Silva Neto

Abstract

In this chapter, the method called Particle Collision Algorithm (PCA) is presented, including a brief history, the algorithm, and its application to the inverse radiative transfer problem, for the determination of the optical thickness, single scattering albedo, and diffuse reflectivities in the internal part of the boundary surfaces of one-dimensional homogeneous participating media. It is also presented how to obtain estimates for the scattering and absorption coefficients in two-layers one-dimensional heterogeneous participating media.

Suggested Citation

  • Wagner Figueiredo Sacco & Diego Campos Knupp & Eduardo Fávero Pacheco da Luz & José Carlos Becceneri & Haroldo Fraga de Campos Velho & Antônio José da Silva Neto, 2023. "Particle Collision Algorithm," Springer Books, in: Antônio José da Silva Neto & José Carlos Becceneri & Haroldo Fraga de Campos Velho (ed.), Computational Intelligence Applied to Inverse Problems in Radiative Transfer, chapter 0, pages 119-129, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-43544-7_12
    DOI: 10.1007/978-3-031-43544-7_12
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-031-43544-7_12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.