Features:
The strength or weight of each specified frequency can be called its power (which is defined variously) and you can graph power versus frequency to analyze your wonderful musical creation, harmonious or discordant.
The CMB:
The data points come from various experiments of the : WMAP (2001--2010), ACBAR (2000-2008), BOOMERanG (1997--2003), CBI (1999--2008), and VSA (2000---2008).
The "topography" of the fluctuations can be decomposed into an expansion in spherical harmonics (i.e., the CMB multipole analysis):
T(θ,φ)=∑_(ℓ,m) a_(ℓ,m)Y_{ℓ,m)(θ,φ) ,
where the Y_{ℓ,m)(θ,φ) are the
spherical harmonics
and the a_(ℓ,m) their weights in the expansion.
For ????
C_(ℓ)=sum_(m) |a_(ℓ,m)|**2/[ℓ(ℓ+1)]For ??? plotting
[ℓ(ℓ+1)]C_(ℓ)/(2π)The points of C_(ℓ) are connnected by by a curve to create pseudo continuum of points of C_(ℓ). The multiplication by [ℓ(ℓ+1)] is graphing convention to compress the vertical scale. The power at the highest peak at ℓ=200 is really 6000/(200**2) = 2.4 which moderately small compared to the power at ℓ=10 which is 800/(10**2) = 8.
The associated Legendre polynomials Legendre polynomials Legendre polynomial zeros (ℓ in (0,&pi:) or 2ℓ ∈(0,2&;pi;)), and so the averge size of an up or down fluctuation is $2&pi/(2ℓ)=180°/ℓ (e.g., 180°/90 = 2°)
The fact that the inflation paradigm predicted the observations is an astonishing triumph of the inflation paradigm.
The successful prediction does NOT prove the inflation paradigm, but it certainly strongly supports it.
Credit/Permission: NASA,
WMAP Science Team,
2006
(uploaded to Wikimedia Commons
by User:Pieter_Kuiper,
2007) /
Public domain.
Image link: Wikimedia Commons:
File:PowerSpectrumExt.svg.
Local file: local link: cmb_power_spectrum.html.
File: Cosmology file:
cmb_power_spectrum.html.