flexible_grid

Flexible intrinsic alignment implementation using grid-based bias model

File	intrinsic_alignments/flexible_grid/bias_JB_interface.py
Attribution	Jonathan Blazek
URL

This module implements a flexible grid-based approach for intrinsic alignment modeling. It provides a more flexible framework for IA calculations that can accommodate various bias models and galaxy populations using grid-based interpolation methods.

Assumptions

• Bias model with flexible grid implementation

Setup Parameters

Name	Type	Default	Description
nknodes	int		Number of k-nodes in the grid
nznodes	int		Number of z-nodes in the grid
intrinsic_alignments	bool		Whether to calculate intrinsic alignment bias
galaxy_bias	bool		Whether to calculate galaxy bias

Input values

Section	Name	Type	Default	Description
intrinsic_alignment_parameters	node_{i}_{j}	real		Grid node values for intrinsic alignment bias
	A	real		Free amplitude parameter for intrinsic alignments
	z	real 1d		Redshift values for fiducial bias
	k_h	real 1d		Wavenumber values for fiducial bias (h/Mpc)
	b_I	real 2d		Fiducial intrinsic alignment bias systematic term
	r_I	real 2d		Fiducial intrinsic alignment bias stochastic term
bias_parameters	node_{i}_{j}	real		Grid node values for galaxy bias
	A	real		Free amplitude parameter for galaxy bias
	z	real 1d		Redshift values for fiducial bias
	k_h	real 1d		Wavenumber values for fiducial bias (h/Mpc)
	b_g	real 2d		Fiducial galaxy bias systematic term
	r_g	real 2d		Fiducial galaxy bias stochastic term

Output values

Output values

Section	Name	Type	Description
intrinsic_alignments_parameters	z	real 1d	Output redshift values
	k_h	real 1d	Output wavenumber values (h/Mpc)
	b_I	real 2d	Interpolated intrinsic alignment bias systematic term
	r_I	real 2d	Interpolated intrinsic alignment bias stochastic term
	b_g	real 2d	Interpolated galaxy bias systematic term
	r_g	real 2d	Interpolated galaxy bias stochastic term