hmfast.tracers.GalaxyLensingTracer
- class hmfast.tracers.GalaxyLensingTracer(profile=None, dndz=None)[source]
Bases:
TracerGalaxy weak lensing tracer.
- Attributes:
- profileMatterProfile
Matter profile used to model the lensing signal sourced by large-scale structure.
- dndztuple of jnp.ndarray
Normalized source redshift distribution stored as \((z, dN/dz)\).
Methods
kernel(cosmology, z)Compute the galaxy lensing kernel \(W_{\kappa_g}(\chi)\) at redshift \(z\).
update([profile, dndz])Return a new GalaxyLensingTracer instance with updated attributes using PyTree logic.
- update(profile=None, dndz=None)[source]
Return a new GalaxyLensingTracer instance with updated attributes using PyTree logic.
- Parameters:
- profileMatterProfile, optional
New matter profile to use for the tracer. If None, the profile is unchanged.
- dndzarray_like, optional
New redshift distribution (z, dN/dz). If None, the distribution is unchanged.
- Returns:
- GalaxyLensingTracer
New tracer instance with updated attributes.
- kernel(cosmology, z)[source]
Compute the galaxy lensing kernel \(W_{\kappa_g}(\chi)\) at redshift \(z\).
The kernel is given by:
\[W_{\kappa_g}(\chi) = \frac{3}{2} \Omega_m \left(\frac{H_0}{c}\right)^2 \chi(z)\,(1+z)\,I_s(z)\]where \(\Omega_m\) is the matter density parameter, \(H_0\) is the Hubble constant, \(c\) is the speed of light, \(\chi(z)\) is the comoving distance to redshift \(z\), and \(I_s(z)\) is the lensing efficiency integral defined as
\[I_s(z) = \int_z^{\infty} dz_s\, \frac{dN}{dz}(z_s) \frac{\chi(z_s) - \chi(z)}{\chi(z_s)}\]where \(\frac{dN}{dz}(z_s)\) is the normalized source redshift distribution.
- Parameters:
- cosmologyCosmology
Cosmology object with required methods and parameters.
- zfloat or array_like
Redshift(s) at which to compute the kernel.
- Returns:
- W_kappa_garray_like
Galaxy lensing kernel evaluated at redshift(s) \(z\).