A beginner's guide to data analysis in cosmology using Jupyter Notebook
summary
Downloads three CMB maps plus one foreground map and a power spectrum from the Planck release, uses healpy read_map and FFTPack to transform maps into spherical harmonic coefficients, and compares measured Cls to theory computed with CAM showing Planck 2015-like agreement around the first peak at L≈200 (≈1°). Code demonstrates making maps, plotting histograms, computing power spectra with anast, and showing white noise follows the expected ∝L^2 spectrum while CMB shows acoustic peaks.
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chapters (9)
- 0:00Cosmology data analysis intro
- 1:45Fourier transform basics
- 8:36Cosmic Microwave Background basics
- 12:27Visualizing CMB with Healpy
- 15:19Simulating CMB with CAMB
- 18:14Power spectra basics
- 23:18Beam effects on data
- 24:46Calculating power spectra
- 29:45Q&A on acoustic oscillations
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