Skip to content Skip to navigation

Connexions

You are here: Home » Content » An Array of Apertures

Navigation

Content Actions

  • Download module PDF
  • Add to ...
    Add the module to:
    • My Favorites
    • A lens
    • An external social bookmarking service
    • My Favorites (What is 'My Favorites'?)
      'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.
    • A lens (What is a lens?)

      Definition of a lens

      Lenses

      A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

      What is in a lens?

      Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

      Who can create a lens?

      Any individual Connexions member, a community, or a respected organization.

    • External bookmarks
  • E-mail the author

Recently Viewed

This feature requires Javascript to be enabled.

An Array of Apertures

Module by: Paul Padley

Summary: We derive the Fraunhofer diffraction patter for an array of apertures using Fourie methods.

Consider an array of rectangular slits of widths a and b with spacing d in the y direction, illuminated by a plane wave. We want to derive the Fraunhofer diffracted field E ( k x , k y ) E ( k x , k y ) . The simplest way to do this problem is to use Fourier optics: The array is a convolution of a single rectangular slit with an array of Dirac delta functions.

That is the aperture function can be written A = A 0 ( f h ) A = A 0 ( f h ) where the symbol represents convolution and f = 1    w h e n | x | a / 2 a n d | y | b / 2 = 0    o t h e r w i s e f = 1    w h e n | x | a / 2 a n d | y | b / 2 = 0    o t h e r w i s e h = n y = 0 N 1 δ ( y n y d ) . h = n y = 0 N 1 δ ( y n y d ) . We now have that E = ɛ A R e i ( k R ω t ) Ϝ { f } Ϝ { h } E = ɛ A R e i ( k R ω t ) Ϝ { f } Ϝ { h } where R R is the distance from the origin to the point of measurement. and F { } F { } represents a Fourier transform. Now we have Ϝ { f } = b / 2 b / 2 a / 2 a / 2 e i ( k x x + k y y ) x y Ϝ { f } = b / 2 b / 2 a / 2 a / 2 e i ( k x x + k y y ) x y or rearranging, Ϝ { f } = b / 2 b / 2 y e i k y y a / 2 a / 2 x e i k x x . Ϝ { f } = b / 2 b / 2 y e i k y y a / 2 a / 2 x e i k x x . These are integrals we have done a number of times already: Ϝ { f } = b s i n c ( k y b / 2 ) a s i n c ( k x a / 2 ) Ϝ { f } = b s i n c ( k y b / 2 ) a s i n c ( k x a / 2 ) Next we transform the sums of the delta functions Ϝ { h } = n y = 0 N 1 e i k y y δ ( y n y d ) y , Ϝ { h } = n y = 0 N 1 e i k y y δ ( y n y d ) y , which upon integration becomes Ϝ { h } = n y = 0 N 1 e i k y n y d . Ϝ { h } = n y = 0 N 1 e i k y n y d . We have also performed this sum before and it gives F { h } = e i k y ( N 1 ) d / 2 sin ( N k y d / 2 ) sin ( k y d / 2 ) . F { h } = e i k y ( N 1 ) d / 2 sin ( N k y d / 2 ) sin ( k y d / 2 ) . So we have E = ɛ A R e i ( k R ω t ) e i k y ( N 1 ) d / 2 sin ( N k y d / 2 ) sin ( k y d / 2 ) b s i n c ( k y b / 2 ) a s i n c ( k x a / 2 ) E = ɛ A R e i ( k R ω t ) e i k y ( N 1 ) d / 2 sin ( N k y d / 2 ) sin ( k y d / 2 ) b s i n c ( k y b / 2 ) a s i n c ( k x a / 2 ) or if we define k R c = k R ( N 1 ) d k y / 2 k R c = k R ( N 1 ) d k y / 2 E = ɛ A a b R e i ( k R c ω t ) sin ( N k y d / 2 ) sin ( k y d / 2 ) s i n c ( k y b / 2 ) s i n c ( k x a / 2 ) . E = ɛ A a b R e i ( k R c ω t ) sin ( N k y d / 2 ) sin ( k y d / 2 ) s i n c ( k y b / 2 ) s i n c ( k x a / 2 ) .

Comments, questions, feedback, criticisms?

Send feedback