The Cosmic Background Radiation — Question 9

Section 44-11 · Physics pages 7508–7509

Question 9 Two frequency channels can separate a simple foreground from a common signal In thermodynamic-temperature units assume d1 = s + f and d2 = s + 2f, where s is the same CMB fluctuation in both bands. Measured values are 80 and 110 microkelvin. Each channel has independent noise standard deviation 6 microkelvin. band 1 band 2 s = 2d1 −d2 Schematic; labels, not drawing lengths, specify the data. (a) Solve for s and f. (b) Derive the uncertainty in s and compare it with either single-channel noise.
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Question 9 - Solution Two frequency channels can separate a simple foreground from a common signal band 1 band 2 s = 2d1 −d2 (a) Method and calculation f = d2 −d1 ⇒f = 30 µK . s = 2d1 −d2 ⇒s = 50 µK . (b) Interpretation and further calculation σ2 s = 4σ2 1 + σ2 2 = 5(6)2. σs = 6 √ 5 = 13.4164 µK . Physical check Foreground removal increases noise in this simple combination. Incorrect frequency scaling or correlated calibration errors would add further uncertainty.

Question 9

Two frequency channels can separate a simple foreground from a common signal

In thermodynamic-temperature units assume d1=s+fd_1=s+f and d2=s+2fd_2=s+2f, where s is the same CMB fluctuation in both bands. Measured values are 80 and 110 microkelvin. Each channel has independent noise standard deviation 6 microkelvin.

Diagram shown in the original SVG worksheet.

  1. Solve for s and f.

  2. Derive the uncertainty in s and compare it with either single-channel noise.

Question 9 - Solution

Two frequency channels can separate a simple foreground from a common signal

Diagram shown in the original SVG worksheet.

(a) Method and calculation

f=d2−d1⇒f=30μK.f=d_2-d_1\Rightarrow\boxed{f=30\ \mu{\mathrm{K}}}.s=2d1−d2⇒s=50μK.s=2d_1-d_2\Rightarrow\boxed{s=50\ \mu{\mathrm{K}}}.

(b) Interpretation and further calculation

σs2=4σ12+σ22=5(6)2.\sigma_s^2=4\sigma_1^2+\sigma_2^2=5(6)^2.σs=65=13.4164μK.\boxed{\sigma_s=6\sqrt5=13.4164\ \mu{\mathrm{K}}}.

Physical check

Foreground removal increases noise in this simple combination. Incorrect frequency scaling or correlated calibration errors would add further uncertainty.