ASTR 420 Lecture 06: The Cosmic Microwave Background

Cosmology ยท study notes

Learning objectives

Terms Developed in Context

These terms form the lecture's reasoning chain from observable through model to a bounded physical conclusion.

Blackbody spectrum

The thermal radiation distribution fixed by temperature when matter and radiation have reached equilibrium. In this lecture it supports the evidence-to-model chain for blackbody spectrum, acoustic peaks, and parameter inference.

Use and relationship: Read it together with Optical depth and Temperature anisotropy. The governing relation \(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\) shows where the concept enters quantitatively; the student should state whether its value is measured, calibrated, adopted, or inferred.

Boundary: The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. This caveat prevents the term from being treated as a unique explanation or a context-free number.

Temperature anisotropy

A direction-dependent fractional variation in the cosmic microwave background temperature. In this lecture it supports the evidence-to-model chain for blackbody spectrum, acoustic peaks, and parameter inference.

Use and relationship: Read it together with Blackbody spectrum and Acoustic peak. The governing relation \(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\) shows where the concept enters quantitatively; the student should state whether its value is measured, calibrated, adopted, or inferred.

Boundary: The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. This caveat prevents the term from being treated as a unique explanation or a context-free number.

Acoustic peak

A maximum in CMB angular power caused by a photon-baryon oscillation mode observed at a characteristic phase. In this lecture it supports the evidence-to-model chain for blackbody spectrum, acoustic peaks, and parameter inference.

Use and relationship: Read it together with Temperature anisotropy and Sound horizon. The governing relation \(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\) shows where the concept enters quantitatively; the student should state whether its value is measured, calibrated, adopted, or inferred.

Boundary: The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. This caveat prevents the term from being treated as a unique explanation or a context-free number.

Sound horizon

The maximum comoving distance an acoustic disturbance could travel before photon-baryon decoupling. In this lecture it supports the evidence-to-model chain for blackbody spectrum, acoustic peaks, and parameter inference.

Use and relationship: Read it together with Acoustic peak and Optical depth. The governing relation \(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\) shows where the concept enters quantitatively; the student should state whether its value is measured, calibrated, adopted, or inferred.

Boundary: The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. This caveat prevents the term from being treated as a unique explanation or a context-free number.

Optical depth

The integrated scattering probability along a line of sight, which controls how strongly primordial anisotropy is attenuated. In this lecture it supports the evidence-to-model chain for blackbody spectrum, acoustic peaks, and parameter inference.

Use and relationship: Read it together with Sound horizon and Blackbody spectrum. The governing relation \(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\) shows where the concept enters quantitatively; the student should state whether its value is measured, calibrated, adopted, or inferred.

Boundary: The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. This caveat prevents the term from being treated as a unique explanation or a context-free number.

Lecture arc

The near-perfect blackbody spectrum tests thermal history; anisotropies carry information about geometry, baryons, matter, and initial perturbations. Begin with the observational puzzle and ask students what is directly measured. Introduce blackbody spectrum, acoustic peaks, and parameter inference only after the data-model boundary is explicit.

The visual is a reasoning object: students should narrate what each line, region, or axis means before seeing the equation.

Derivation and interpretation

\(I_nu(T)=2h nu^3 / c^2 [e^(h nu/kT)-1]^-1\)

Define the symbols, units, and assumptions. Explain why the relation is useful and where it fails. Relate the result to the paired lab's data record rather than treating the equation as a detached recipe.

2.7255 K peakfrequency
blackbody spectrum, acoustic peaks, and parameter inference. The axes, labels, and geometry carry the physical inference rather than serving as decoration.

Worked example

Wien's law gives nu_peak approximately 281.97 GHz for T=2.7255 K.

The frequency of the intensity peak depends on the spectral variable; wavelength and frequency peaks are not reciprocal labels. Require students to estimate the answer, show units, and state whether the approximation is controlled, empirical, or merely illustrative.

Misconceptions and study guidance

The near-perfect blackbody spectrum tests thermal history; anisotropies carry information about geometry, baryons, matter, and initial perturbations. Common traps include confusing redshift with a unique velocity, treating a model-dependent parameter as a direct measurement, and overlooking covariance. Study by reproducing the calculation, changing one assumption, and comparing the result with the exact OpenStax anchor listed in the reference log.

Preparation for the problem set: write a one-paragraph evidence chain from observation to conclusion and identify the weakest link.