Data from the Planck 2020 (NPIPE) likelihoods

Paper: Improved limits on the tensor-to-scalar ratio using BICEP and Planck data
arxiv: https://arxiv.org/abs/2112.07961


We provide here results from MCMC exploration chains, as well as yaml files
used for Cobaya runs and covariance matrices.

The chains includes the following datasets:
planck_2020_hillipop      (hlpTTTEEE)
planck_2020_lollipop      (lowEB)
planck_2018_lowl          (lowT)
bicep_keck_2018           (BK18)
bao.sdss_dr16_baoplus_lrg (BAO)
planck_2018_lensing       (Lensing)

The model baseline is LCDM+r.

Likelihood codes are available from:
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https://github.com/planck-npipe/lollipop

https://github.com/planck-npipe/hillipop