Binny#
Binny provides flexible and well-tested tomographic binning tools for cosmology.
It supports constructing galaxy redshift distributions \(n(z)\), building tomographic bins, and validating bin configurations for forecasting and inference workflows.
Explore the documentation#
Mathematical background and definitions behind tomographic binning in cosmology.
Topics include:
redshift distributions \(n(z)\)
photometric and spectroscopic selection
tomographic bin construction
overlap and leakage diagnostics
Practical demonstrations of Binny workflows.
Includes:
building redshift distributions
constructing tomographic bins
survey configurations
diagnostics and summaries
Example gallery#
The examples below illustrate common Binny workflows.
Construct analytic or empirical galaxy redshift distributions \(n(z)\) and explore their properties.
Infer redshift distribution parameters from simulations or mock galaxy catalogs.
Construct overlapping tomographic bins from photometric redshift estimates.
Define sharply bounded redshift bins suitable for spectroscopic surveys.
Summarize tomographic bins through effective redshifts, widths, number densities, and related aggregate statistics.
Inspect bin overlap, leakage, and statistical properties.
Build tomographic bin configurations representative of real cosmological surveys.
Filter or select bin pairs based on redshift separation, overlap, or other criteria relevant for lensing or clustering analyses.