List of external likelihoods
Here is a non-extensive list of external likelihoods, i.e. likelihoods not integrated in the Cobaya cosmo package, and generally not authored by the main Cobaya developers. Clicking on their name will take you to their homepage for further documentation.
All this likelihoods can be used just by mentioning them in an input file, and can
be installed with cobaya-install [name] or cobaya-install [input.yaml]
(otherwise please submit an issue [LINK]).
You can have your likelihood listed here by submitting a PR/ISSUE in the Cobaya cosmo package [LINK].
List of external likelihoods grouped by observable
cmb
cmb.planck_PR4_lollipop.lowlE
sth... [1]cmb.planck_PR4_lollipop.lowlB
sth... [1]cmb.planck_PR4_hillipop.TT
sth... [1]cmb.planck_PR4_hillipop.TE
sth... [1]cmb.planck_PR4_hillipop.EE
sth... [1]cmb.planck_PR4_lensing
Planck PR4 (NPIPE) lensing likelihoods, by J. Carron, M. Mirmelstein and A. Lewis, together with the Planck PR4 ISW-lensing likelihoods by J. Carron, G. Fabbian and A. Lewis [1],[2]cmb.act_dr4_lite
Atacama Cosmology Telescope DR4 CMB power spectrum likelihood, already marginalized over SZ and foreground emission; based on the WMAP and ACT team's likelihood software. [1],[2]cmb.act_dr4_lite_for_planck_combination
Atacama Cosmology Telescope DR4 CMB power spectrum likelihood, already marginalized over SZ and foreground emission, with a multipole cut to avoid correlations with Plank; based on the WMAP and ACT team's likelihood software. [1],[2]cmb.spt3g_2022.TT
... [1]cmb.spt3g_2022.EE
... [1]cmb.wmap_v5
WMAP likelihood implementation by H. Jense of the WMAP v5 likelihood, retaining only data in temperature and high-l polarization. [1]cmb.mock_hdlike
Mock CMB-HD likelihood including lensed and delensed TT/TE/EE/BB CMB + lensing spectra from multipoles 30 to 20,000. [1]cmb.mock_cmb_SO
Mock Simons Observatory likelihood following Sailer, Schaan and Ferraro 2020, based on MontePython's 'Likelihood_mock_cmb' (config by J. Muñoz). [1]cmb.mock_cmb_SO.baseline
Mock Simons Observatory likelihood with TT, EE 'deproj0' noise curves (baseline sensitivity), based on MontePython's 'Likelihood_mock_cmb'. [1]cmb.mock_cmb_SO.goal
Mock Simons Observatory likelihood with TT, EE 'deproj0' noise curves (goal sensitivity), based on MontePython's 'Likelihood_mock_cmb'. [1]cmb.mock_cmb_CMBS4
Mock CMB-S4 likelihood following the science book, based on MontePython's 'Likelihood_mock_cmb' (config by J. Muñoz). [1]cmb.mock_cmb_CMBS4.sens0
Mock CMB-S4 likelihood with TT, EE 'deproj0' noise curves, based on MontePython's 'Likelihood_mock_cmb'. [1]cmb.mock_cmb_Planck
Mock Planck likelihood following Munoz et al 2016 with f_sky=0.2 (fraction independent of SO and CMB-S4), based on MontePython's 'Likelihood_mock_cmb'. [1]