Spectroscopic Surveys Summary Statistics (Using SpectroPower)¶
LegendreMultipoles¶
Compute multipoles \(P_\ell(k)\) from 2D power spectrum \(P(k, \mu)\).
Location: cloelib/summary_statistics/legendre_multipoles.py
What it does:
- Takes a
SpectroPowerobject - Integrates \(P(k, \mu)\) over \(\mu\) with Legendre polynomials
- Outputs \(P_0(k)\), \(P_2(k)\), \(P_4(k)\), ...
- Allows to further compute two-point correlation functions, in cartesian and polar coordinates.
Example:
from cloelib.cosmology.camb_cosmology import CAMBBackground
from cloelib.observables.CometEFT_spectro import CometEFT_spectro
from cloelib.summary_statistics.legendre_multipoles import LegendreMultipoles
bg = CAMBBackground(H0=67.5, ...)
spectro = CometEFT_spectro(background=bg, z_pk=1.0)
# Compute multipoles
leg_multi = LegendreMultipoles(spectro_power=spectro)
k = np.logspace(-2, 0, 50) # k in h/Mpc
multipoles = leg_multi.power_multipoles(
k=k,
ells=[0, 2, 4], # Which multipoles
z=1.0,
bias=2.0,
)
P0 = multipoles[0] # Monopole
P2 = multipoles[2] # Quadrupole
P4 = multipoles[4] # Hexadecapole
print(f"Monopole at k=0.1: {P0[20]:.2e}")
BAOAlphas¶
Compute BAO distortion parameters \(\alpha_\parallel\) and \(\alpha_\perp\).
Location: cloelib/summary_statistics/bao_alphas.py
What it does: Compute alpha parameters for the BAO analysis
Example:
from cloelib.cosmology.camb_cosmology import CAMBBackground
from cloelib.summary_statistics.bao_alphas import BaryonAcousticOscillations
import numpy as np
# True and fiducial cosmologies
bg = CAMBBackground(H0=67.5, ...)
bg_fid = CAMBBackground(H0=67.5, ...) # Fiducial cosmology
zs = np.array([0.5, 1.0, 1.5])
bao = BaryonAcousticOscillations(
background=bg,
background_fiducial=bg_fid,
redshifts=zs,
)
# Access alphas at each redshift
alphas_z05 = bao.alphas_dict[0.5]
alpha_parallel = alphas_z05['alpha_par'] # Along LOS
alpha_perpendicular = alphas_z05['alpha_perp'] # Transverse
alpha_iso = alphas_z05['alpha_iso'] # Isotropic dilation
alpha_AP = alphas_z05['alpha_AP'] # Alcock-Paczynski ratio
Next Steps¶
The pipeline is now complete. From here:
- API Reference – Full technical documentation
- Contributing Guide – General contribution guidelines
- Playground Examples – Real usage examples
- Back to Summary Statistics – Review all summary statistics
- Back to Overview – Review the architecture
Or return to any component: