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CMB TT Spectrum — Early Quintessence Best-Fit

Thesis DOI

Author: Cherian Parangot Ittyipe Cardiff MSc Astrophysics (Merit, 2024)


What this repository does

Plots the CMB TT power spectrum generated by CAMB using the posterior mean parameter set from a Bayesian MCMC inference of the Early Quintessence (EDE) model against Planck 2018 bandpowers.

It does not run MCMC or perform parameter inference. For the full inference pipeline, see the companion repository:

cmb-ede-mcmc — emcee + CAMB inference of 10 EDE parameters against Planck 2018 TT+TE+EE


Key result

CMB TT Spectrum

The plotted parameters (params.json) are the MCMC posterior mean from the companion repo. Key EDE constraints from the Cardiff MSc thesis:

Parameter Value
$H_0$ 69.56 ± 0.93 km/s/Mpc
$f_\mathrm{EDE}(z_c)$ 0.083 ± 0.024
$\log_{10} z_c$ 3.47 ± 0.10
$n$ 2.95 ± 0.24

Usage

pip install camb astropy matplotlib numpy
python plot_cmb_from_posterior.py \
    --fits /path/to/COM_PowerSpect_CMB_R2.02.fits \
    --params params.json

Related work

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CMB TT power spectrum from Early Quintessence parameters - CAMB + Planck 2018

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