IDEAS home Printed from https://ideas.repec.org/a/tec/techni/v4y2022i1p11-14.html
   My bibliography  Save this article

The Theory of Magnitudes

Author

Listed:
  • Daniel Weinstock

Abstract

This is a way to look at a photos of stars and make sense to get a value that shows the closest star: in the vicinity: It uses star’s apparent magnitudes to get theses inverse magnitudes and to get a nearby star of the largest ratio ; of the inverse apparent magnitude divided by the distance. Now the beginning reference star obeys this ratio . For the greater the distance the lower the value. And we want the highest value . The greater the brightness enlarges and the greater the distance makes the value lessons. After trying to use aspects of General Relativity’s Tensor Calculus, l found l could not find my formulas to fit the data . In an original way l used the inverse Apparent Magnitudes in Astronomical to get a consistant formula that is data proven with general ideas from Global analysis. It works with Star charts/photos. Before l even tried using the inverse of the determinates of linear algebra. But my attempts were to no avail. Therefore l became inspired by basic formulas in General Relativity but that did not work. Using Global Analysis in an new l succeeded. Keywords Using my new formula l can obtain the distance between a reference star, using its inverse apparent magnitude, l obtain the distance to from another star using certain restrictions which the measurement in centimeters to this other star from its reference star nearby.

Suggested Citation

  • Daniel Weinstock, 2022. "The Theory of Magnitudes," Technium, Technium Science, vol. 4(1), pages 11-14.
  • Handle: RePEc:tec:techni:v:4:y:2022:i:1:p:11-14
    DOI: 10.47577/technium.v4i10.7606
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/technium/article/view/7606/2745
    Download Restriction: no

    File URL: https://techniumscience.com/index.php/technium/article/view/7606
    Download Restriction: no

    File URL: https://libkey.io/10.47577/technium.v4i10.7606?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:tec:techni:v:4:y:2022:i:1:p:11-14. 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: Ana Maria Golita (email available below). General contact details of provider: .

    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.