ABOUT K
ACADEMICS
ADMISSION
ALUMNI RELATIONS
GIVING TO K
NEWS & EVENTS
STUDENT LIFE
HORNET HIVE
ATHLETICS
SITEMAP
WEBMAIL
    • Login
    View Item 
    •   DSpace Home
    • Academic Departments, Programs, and SIPs
    • Physics
    • Physics Senior Individualized Projects
    • View Item
    •   DSpace Home
    • Academic Departments, Programs, and SIPs
    • Physics
    • Physics Senior Individualized Projects
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Automating the Detection of Magnetic Flux Ropes Using Data Mining Techniques

    Thumbnail
    View/Open
    Searchable PDF / Kalamazoo College Only (27.71Mb)
    Date
    2014
    Author
    Akhavantafti, Mojtaba
    Metadata
    Show full item record
    Abstract
    Our reliance on space-borne and ground-based technological systems has made us susceptible to the adverse conditions in the space environment. These conditions can cause disruption of satellite operations, electric power distribution grids, and oil pipelines, leading to a variety of socioeconomic losses. In order to mitigate the impact, we need to better understand the planetary magnetic field and their responses to the solar wind. In particular, magnetic reconnection is a widely-studied product of the Earth-Sun interaction and it is believed to be the ultimate driver of extreme phenomena such as eruptive solar flares, coronal mass ejection, geomagnetic storms, and magnetospheric substorms. To better understand the birth and the evolution of magnetic reconnection, one can study the dynamics of the magnetic field in the magnetotail and look for events such as magnetic flux ropes. This paper aims to investigate the GEOTAIL mission magnetic data as a function of time and location and to search for magnetic flux ropes. It further explores the sensitivity and the specificity of automating the process of magnetic flux rope detection. In conclusion, our approach indicated satisfying degrees of accuracy (~ 80%), yet work needs to be done to better train the algorithms to increase the accuracy (> 95%) of the detection process.
    URI
    http://hdl.handle.net/10920/30050
    Collections
    • Physics Senior Individualized Projects [312]

    DSpace software copyright © 2002-2013  Duraspace
    Contact Us | Send Feedback
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesThis CollectionBy Issue DateAuthorsTitles

    My Account

    Login

    DSpace software copyright © 2002-2013  Duraspace
    Contact Us | Send Feedback
     

     

    K logo
    Kalamazoo College
    1200 Academy Street
    Kalamazoo Michigan 49006-3295
    USA
    Info 269-337-7000
    Admission 1-800-253-3602
    ABOUT K
    ACADEMICS
    ADMISSION
    ALUMNI RELATIONS
    GIVING TO K
    NEWS & EVENTS
    STUDENT LIFE

    Sitemap
    Map and Directions
    Contacts
    Directories
    Nondiscrimination Policy
    Consumer Information
    Official Disclaimer
    Search this site





    Academic Calendars
    Apply
    Bookstore
    Crisis Response
    Employment
    Library
    Registrar