act-dr6-lens

CMB Lensing from ACT DR6 data.

File	likelihood/act-dr6-lens/act_dr6_lenslike_interface.py
Attribution	Mat Madhavacheril, ACT Collaboration (Library)
	Ian Harrison, David Dzingeleski, CosmoSIS Team (Interface)
URL	https://github.com/ACTCollaboration/act_dr6_lenslike
Citations	https://doi.org/10.48550/arXiv.2304.05203
	https://doi.org/10.48550/arXiv.2304.05202

This is the lensing likelihood from the ACT DR6 data release. What is supplied here is only the CosmoSIS interface to the standalone act_dr6_lenslike python module. This should be obtainable through running: pip install act_dr6_lenslike.

Assumptions

• act_dr6_lenslike python module

• ACT DR6 lensing data

Setup Parameters

Name	Type	Default	Description
data_directory	str	[module dir]/data	Directory to search for data
variant	str	act_baseline	The variant of the DR6 lensing likelihood to use. Options are act_baseline, act_extended, actplanck_baseline, actplanck_extended, act_polonly, act_cibdeproj, act_cinpaint
lens_only	bool	False	If False then a covariance matrix will be used which has been CMB marginalized.
like_only	bool	False	If set to True then only the likelihood will be stored. If True then the lensing theory spectra calculated by the likelihood will be saved to the CosmoSIS data block, along with the data, covariance and inverse covariance.
mock	bool	False	If True, use a set of simulated Cls at default DR6 accuracy instead of the data.
nsims_act	int	792	The number of simulations used to create the ACT portion of the covariance matrix.
nsims_planck	int	400	The number of simulations used to create the Planck portion of the covariance matrix.
like_corrections	bool	True	If set to True, will apply appropriate likelihood norm corrections.
trim_lmax	int	2998	Maximum L to use from the lensing kk spectra.
apply_hartlap	bool	True	Choose whether to apply a Hartlap correction to the covariance matrix.
scale_cov	str		A value /as a string/ by which to scale the covariance matrix by a given value (for e.g. making forecasts).
varying_cmb_alens	bool	False	Whether or not to divide the lensing theory spectrum by an A_lens parameter, if one is being used.

Input values

Section	Name	Type	Default	Description
cmb_cl	ell	real 1d		CMB power spectrum ell values of other inputs
	tt	real 1d		Lensed CMB temperature power spectrum in ell(ell+1)/2pi units
	te	real 1d		Lensed CMB temperature-E-mode polarization cross power spectrum in ell(ell+1)/2pi units
	ee	real 1d		Lensed CMB E-mode polaration power spectrum in ell(ell+1)/2pi units
	bb	real 1d		Lensed CMB B-mode polaration power spectrum in ell(ell+1)/2pi units
	pp	real 1d		CMB lensing phi-phi power spectrum in ell(ell+1)/2pi units

Output values

Output values

Section	Name	Type	Description
likelihoods	act_dr6_lens_like	real	ACT DR6 lensing likelihood for given selection
data_vector	act_dr6_lens_data	real 1d	Binned CLkk data, only if like_only=False
	act_dr6_lens_covariance	real 2d	Used covariance matrix, only if like_only=False
	act_dr6_lens_inverse_covariance	real 2d	Used inverse covariance matrix, only if like_only=False