IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-44446-6_12.html
   My bibliography  Save this book chapter

Stochastic Modeling and Estimation in a Neutron Lifetime Experiment

In: Math Everywhere

Author

Listed:
  • Grace L. Yang

    (University of Maryland, Department of Mathematics)

  • Kevin J. Coakley

    (National Institute of Standards and Technology)

Abstract

A team of researchers demonstrated at the National Institute of Standards and Technology Cold Neutron Research Facility for the first time that ultra cold neutrons can be confined in a magnetic trap filled with liquid helium, see [6]. This technical breakthrough allows a more accurate measurement of the neutron lifetime and helps to answer questions fundamental to physics and astrophysics. Since the demonstration, an experimental protocol for data collection and statistical analysis has been under development.

Suggested Citation

  • Grace L. Yang & Kevin J. Coakley, 2007. "Stochastic Modeling and Estimation in a Neutron Lifetime Experiment," Springer Books, in: Giacomo Aletti & Alessandra Micheletti & Daniela Morale & Martin Burger (ed.), Math Everywhere, pages 141-149, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-44446-6_12
    DOI: 10.1007/978-3-540-44446-6_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:978-3-540-44446-6_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.