Integrate halo model for intrinsic alignments in 3x2-point systematics. #400
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# Conflicts: # firecrown/likelihood/gauss_family/statistic/source/weak_lensing.py
# Conflicts: # examples/des_y1_3x2pt/des_y1_3x2pt_PT.py # examples/des_y1_3x2pt/des_y1_cosmic_shear_TATT.py # firecrown/likelihood/gauss_family/statistic/two_point.py # firecrown/modeling_tools.py
# Conflicts: # firecrown/modeling_tools.py
…insic alignments. - Currently, the IG contributions do not match.
| @@ -25,13 +25,21 @@ def __init__( | |||
| pt_calculator: Optional[pyccl.nl_pt.EulerianPTCalculator] = None, | |||
| pk_modifiers: Optional[Collection[PowerspectrumModifier]] = None, | |||
| cluster_abundance: Optional[ClusterAbundance] = None, | |||
| hm_definition: Optional[pyccl.halos.MassDef] = None, | |||
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I think passing the HMCalculator object directly (or a wrapper around it), similar to the PTCalculator, would make the API more future proof and also abstract away these CCL details.
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This PR integrates the halo model for intrinsic alignments as a potential systematic for 3x2-point likelihoods. It adds a new
WeakLensingSystematicclass calledHMAlignmentSystematicand the appropriate behaviour for when a tracer has this systematic attached to it. It also extends theModelingToolsfor computing halo model-related quantities. Finally, it computes the correct power spectrum given the input tracer.